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Headquarters: Remote - United States

Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.

We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.

Why You’ll Love This Role

At Cribl, we're transforming from a flagship-product company into a multi-product powerhouse - and every non-routine business event, whether an acquisition, a product launch, or a go-to-market shift, adds complexity our data, definitions, and reporting weren't built to handle. As the Analytics Business Partner, you're the person who closes that gap - translating a new product or customer into our existing data, systems and reporting: how it connects to what we already have, how value is attributed, how we define and track it going forward. Reporting to the VP of Data & Analytics — part of Cribl's broader Business Operations organization alongside Strategy & Operations and Business Effectiveness — you'll operate horizontally across the business rather than embedding in a single function.

This is a high-impact role for a strategist who thrives on ambiguity and builds order from chaos. If you are eager to contribute to a company poised for generational success, we want to hear from you. 

As An Active Member Of Our Team, You Will…

• Diagnose and Drive the Solution. When a non-routine business event doesn't fit with how we currently track or report on the business, define the solution. Whether a system change, a new process or policy, or a different data model, serve as the Directly Responsible Individual (DRI) for working with the necessary x-functional teams to get it delivered
• M&A Integration. When we acquire a company, own and drive how its products and customers fit into our existing reporting and data models, ensuring we can capture the impact of the acquisition post deal close
• New Product Launch. When we launch a new product, understand how Product defines its success metrics, and make sure our models, definitions, and reporting can track against those metrics post launch
• Keep Execution Moving. When a change spans across the Data and Analytics team (Data Engineering, Analytics, Data Science, Data Governance), sequence who does what first, own the handoffs between them, catch duplication or gaps before they cost the team time, and push the pace when the event demands it
• Stand Up the Business Intelligence Council. Establish and run the forum where cross-functional leaders align on key measures, attributes, and hierarchy definitions, and on prioritization across competing data and analytics efforts — and drive it to actual resolution, rather than let it stall as a standing meeting.
• Know The Business. Maintain a working picture of how GTM, Finance, Product, and other functions operate, knowing who to engage so a project doesn’t start or drift, without the right people engaged. For example, understanding how Product Marketing is positioning a new feature, how it needs to be represented across our applications in partnership with IT, and how Finance will measure its impact, before scoping the data work for it. 
• We are a remote-first company and work happens across many time-zones – you may be required to occasionally perform duties outside your standard working hours

 

If You've Got It - We Want It

• 8+ years in management consulting, in-house strategy, business operations, or business analytics, with a track record of operating in unfamiliar functions and reframing ambiguously-posed questions
• Fluency across GTM, Finance, Product, and other functions - enough to know that 'customer' may mean something different to Sales than it does to Finance, and to reconcile the difference rather than pick a side
• You can join multiple tables, write a CTE, and get the aggregation grain right - enough to answer your own question - though hands-on query and dashboard work won't be your primary responsibility in this role
• Given a reporting issue, you know not to default to a “data-only” answer - you can tell whether the real problem is a system that isn't capturing the right data, a process nobody owns, or a data model that no longer matches the business
• Ability to flex your communication style as needed - equally fluent giving execs the top-line takeaway and working through the nuances with the operational teams to drive a solution 
• First hand experience ensuring a business’s data and reporting keep up following an acquisition or new product launch - designing and driving the solution so the business doesn’t lose visibility into itself
• Bonus: experience inside a post-close M&A integration, a new product introduction, or a go-to-market model change
• Bonus: experience in late-stage B2B SaaS startups (i.e., Series E+) and / or early public B2B SaaS companies (e.g., 3-5k employees)

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The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience.

In addition to base salary, for sales and some sales-adjacent roles, employees are eligible to earn incentive compensation (commission). For all other roles, employees are eligible to participate in the Cribl Corporate Bonus Program.

In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), and equity.

Base Salary Range$190,000—$255,000 USD

Bring Your Whole Self

Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at cribl.io/about-us. 

To apply: https://weworkremotely.com/remote-jobs/cribl-analytics-business-partner

Location: Remote, New York City, or Oakland

• Travel is encouraged approximately once every 6 months to state partners within the continental USA, and occasionally required. We expect these trips to include visits to prisons and parole offices.

Role Type: Full-time

Compensation:  $120,000

Visa sponsorship: Not available

Hires remotely in: United States

Experience: 5+ years of full-time, professional work experience

Recidiviz is thrilled to be hiring a Senior Policy Data Analyst to join our team! We’re a small, fast-moving group that works with complex criminal justice data from our state partners and develops analyses and tools that target the drivers of incarceration. That’s where you come in. We’re looking for someone who has creativity and inquisitiveness to identify and solve open-ended problems, clarity to think through complex and variable data, flexibility to adjust in a rapidly evolving environment, and above all else, a collaborative, kind nature to add to our culture.

About us

Recidiviz is creating safer, healthier communities by improving outcomes for people in the criminal justice system. We build technology to reduce the number of people in prison and to help criminal justice leaders embrace data-driven decision-making.

Using software tools and thoughtful product design, we’ve been able to safely and permanently reduce incarceration and improve outcomes. We work side-by-side with leaders of the criminal justice system, people in prison and on supervision, and ecosystem partners to build a better path forward. In addition to the revenue we earn from state partners, some of the most respected philanthropists and foundations support our work.

People who succeed at Recidiviz lead with kindness and humility, assume good intent, learn from failure, and fix problems when they see them. They are excited to work arm in arm with government leadership and staff to improve outcomes. They are great listeners. They build deep relationships with and empathy for the people we work with and the people who our mission serves, even when those two groups feel at odds.

About the role

Recidiviz’s policy team works with state DOC leaders who want to rewrite old policies or write new ones, grounded in evidence and analytics, to improve outcomes. We use administrative datasets to generate context-responsive insights that expand momentum for policy change. We answer questions like:

• What earned sentence credit structure creates the strongest reward system given the distribution of sentence lengths and program availability?
• How do the factors that drive parole board decisions align with the factors most quantitatively predictive of post-release outcomes? How would outcomes change if dynamic factors were weighted more heavily?
• How will a new supervision contact standard affect the alignment between supervision officer bandwidth and high-need clients?

By translating policy concepts into concrete modeling, we help states make smarter and more ambitious changes.

Senior Policy Data Analysts are high-autonomy technical contributors. They own an end to end analytic process — breaking project objectives into analytical products, designing the approach, derisking the timeline, producing the findings, and preparing the materials that go in front of decision-makers. The core skill is decision-support: building analysis for a decision rather than for a research finding.

This role is as much about making judgment calls as it is about running analytical work. Most of our projects are first of their kind, which requires designing the approach as you go. Projects change mid-flight as our understanding of system dynamics develops and the needs of stakeholders shift. This role works closely with a Partnerships Lead, who coordinates with state partners to determine project objectives. The Senior Policy Data Analyst sets the analysis strategy to meet those objectives. Success is measured by the impact your interventions drive.

Core responsibilities

• Building analysis from corrections and parole data. You’ll use SQL and Python to wrangle administrative data to articulate how a system behaves. You ramp up on new data quickly, going deep where it changes the answer and making defensible simplifying assumptions where it doesn’t.
• Modeling policy scenarios and quantifying tradeoffs. Apply statistical methods like regressions, time series, stock-and-flow modeling or distributional analysis to project how outcomes change under different policy designs, and assess what the data can and can’t support. A core judgment is developing simple and elegant approaches that cut to the heart of the decision point.
• Communicating findings to the people making the decision. You work backward from what information a stakeholder needs to advance decision-making in the room. You’ll create the decks and memos that go to DOC leadership, find the frameworks that make a complicated tradeoff digestible, and take responsibility for tailoring your work to the audience to motivate action.
• Running your projects end to end. You’ll translate project objectives into an analysis strategy, set project roadmaps, and identify and address unknowns. You’ll adjust course as project objectives change, and rightsize analysis with impact.
• Collaborating across Recidiviz. You’ll collaborate across the organization to obtain state context, understand underlying data infrastructure, and support policy implementation.
• Finding the next opportunity. You’ll go deeper on the states you work in — spotting where additional analysis could unlock a decision, and running the early exploration to assess whether it’s worth pursuing.

Wild success

A year from now:

• You’ve driven impact. Your work has directly shaped several policy reforms across the country.
• You’ve uncovered new opportunities. You spotted a new opportunity in your states that became new work for the team.
• You’ve made your projects more effective. The people around you have less scramble, clearer ownership, and smoother handoffs, making it easier for everyone to focus on driving towards impact.
• You’ve leveled up our analytical team. Approaches you designed, like a modeling pattern or a framework for a recurring question, are now being reused by teammates on other states.

Minimum qualifications

• 5 or more years of practical experience exploring, analyzing, and processing complex datasets
• Professional experience using SQL with large datasets, including high proficiency writing efficient queries for complex extraction and transformation
• Professional experience with Python, particularly pandas, for statistical analysis and data visualization
• Sufficient statistical background to reason about analysis design, examine results closely, and prepare analyses that hold up to scrutiny
• Experience scoping and delivering analytical work — particularly balancing depth and speed when navigating short timelines and shifting priorities
• Experience on teams where ownership is shared across functions, including proactively seeking context you’re missing and flagging risks before they become blockers.

Preferred qualifications

• Experience adapting quantitative methods to introduce intuitively meaningful metrics in ambiguous, unconstrained contexts
• Experience working with large administrative datasets from the public sector, especially related to criminal justice
• Familiarity with our data stack, which includes Google Cloud Platform, BigQuery, Looker, Jupyter notebooks, and Python/Pandas

Compensation

Compensation is standardized based on roles and responsibilities. This ensures equitable compensation and responsible stewardship of our resources. As such, we do not negotiate compensation offers.

The compensation for this role is: $120,000.

What we offer

• Effective, extremely thoughtful colleagues, working together on a mission that matters
• 90% medical, dental, and vision insurance coverage for you and your dependents
• Flexible time off, including 20 days of PTO, 3 days of paid volunteering time, and 13 paid holidays
• 12 weeks of paid parental leave
• 401(k) retirement plan with 5% company match and no vesting period
• Complimentary One Medical membership (depending on location)
• Partnership with Carrot to provide employees with inclusive fertility and family-forming benefits, as well as a small but growing number of hormonal health and gender-affirming care benefits
• Monthly ClassPass credit for personal wellness
• Free mental health support via Talkspace
• Well-located offices in Oakland and Manhattan, with the flexibility to work remotely or go into either office as you choose
• An annual company offsite each spring and other ad-hoc gatherings
• All the exhilarating challenges and stretch opportunities of a tech startup, combined with the mission-driven heart of a nonprofit

More about Recidiviz

Recidiviz was an all-volunteer effort until early 2019, when Clementine, Andrew, and Joshua founded the organization. Since then, we’ve built an A-team of software engineers, designers, product managers and domain experts, from companies like Google, Apple, Dropbox, Opower, and Sidewalk Labs. Recidiviz was part of Y-Combinator’s 2019 class and has received support from some of the most respected philanthropists and foundations, including Ford Foundation, Mackenzie Scott, Schmidt Futures, Arnold Ventures, Chan Zuckerberg Initiative, and the Mozilla Foundation.

Today, Recidiviz works with (and earns revenue from) over 20 state partners – big and small, red and blue – and covers more than 46% of the US incarcerated population. We have helped to get tens of thousands of people out of the criminal justice system, safely and equitably, and saved states nearly $1 billion. In the next five years, Recidiviz plans to partner with 40 states and help 250,000 people who are stuck in the system to get out and stay out. In addition to partnering with state Departments of Corrections, Recidiviz collaborates with and learns from partners – from organizations like the Correctional Leaders Association (CLA) to community based organizations and justice-impacted individuals, whose perspectives guide our work.

To learn more about how we do what we do, check out our 2025 Year in Review, read some press coverage, or watch our TED Talk.

An important note

Lasting change is always built on diversity. Recidiviz recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, sex, sexual orientation, disability, age, veteran status, ancestry, citizenship, marital status, gender identity and all protected status as required by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a special need that requires accommodation, please let us know in your application. Even if you don’t think you meet all the criteria above, drop your resume, and we’ll take a look – you might be great for another role or another time!

The Company:

At impact.com our culture is our soul. We are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!

impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, and Fanatics visit www.impact.com.

Your Role at impact.com:

The Senior Revenue Operations Analyst position is an exciting opportunity to work with a growing GTM organization globally. The position will have exposure to senior management and be a critical contributor to our growth strategy.

What You’ll Do:

Key Responsibilities - Systems, Data & Territory Operations

• Systems & Platform Management: Administer RevOps systems (Clay, ZoomInfo, RingLead), manage user access, document approval workflows, and oversee AI-driven data enrichment and imports
• Territory Planning & Account Distribution: Execute weekly account distributions, manage user profiles and workflow automation, rebalance coverage gaps across regions, and handle new-hire territory assignments for AEs and BDRs
• Data Quality & Governance: Maintain account hierarchy accuracy, resolve data conflicts between systems, conduct audits, set up validation rules, and track data quality KPIs/scorecards

Analytics, Enablement & Cross-Functional Collaboration

• Reporting & Insights: Build dashboards for sales leadership to track territory coverage, AE capacity, account penetration, BDR productivity, and regional sales performance (NAM, UK/EMEA, APJ)
• Sales Support & Enablement: Serve as first-line RevOps support, manage hierarchy/account ownership adjustments, support PLG , and deliver training/documentation for sales teams
• Cross-Functional Alignment: Partner with Sales Leadership, Marketing (ABM alignment), Finance (headcount/productivity planning), and BizApps on system configurations and business reviews

What You Have:

• Experience: 3–5 years in RevOps or Sales Operations across global regions, with a proven track record of owning end-to-end process improvements, territory planning, and multi-system management
• Technical Stack: Advanced Salesforce proficiency, hands-on Clay experience (data enrichment/workflows), account enrichment & deduplication tools (ZoomInfo, RingLead)
• Core Traits: Exceptional attention to detail, strong root-cause analytical skills, clear cross-functional communication, proactive problem-solving, and robust project management abilities

Nice To Have:

• Advanced Clay expertise including API integrations
• Experience with AI-driven data enrichment and Gemini API
• Salesforce Apex, Process Builder, or Flow knowledge
• M&A integration or large-scale data migration experience
• Slack workflow automation or integration experience

Salary Range: $80,000 - $100,000 per year plus additional 5% variable annual bonus contingent on Company performance and eligible to receive Restricted Stock Unit (RSU) grant. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits (Perks):

• Medical, Dental and Vision insurance
• Unlimited responsible PTO
• Flexible work hours
• Parental Leave
• Technology Stipend
• Office only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled.
• Flexible spending accounts and 401(k)
• An employee-led culture team that plans inclusive events- meaning time together and other events to celebrate our many successes!
• An established company with a cool, high-velocity work ethos, where each person can make a difference!

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

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#LI-NewYork,NewYork_Hybrid

#LI_NewYork_NewYork

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#LI-Remote

As a Principal Data Analyst, you will lead analysis of hospital quality performance and national rankings and ratings programs for current and prospective health system customers, including CMS Star Ratings, U.S. News & World Report Best Hospitals, Leapfrog, and CMS pay-for-performance programs (HRRP, HAC, VBP). You will apply deep expertise in quality measure methodology, risk adjustment, and Medicare claims data to replicate program methodologies, explain what is driving a customer’s results, and identify the improvement opportunities with the greatest impact on their scores and rankings. You will own the design of dashboards and benchmarking tools, and set standards for methodological rigor and validation across the team. You will serve as a senior analytic voice in pre-sales, sales, and ongoing customer engagements, presenting findings directly to customer quality and executive leadership. You will also mentor analysts and partner with Data Scientists and Process Improvement Consultants to shape how Tendo delivers analytic value.

About Tendo Make an impact—join our team!

We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for 2024, 2025, and 2026. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.

If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!

Job Location RemoteTendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.

Responsibilities

• Own data sourcing, cleaning, and quality assurance, and set the validation standards the team uses for all analytic outputs.

• Design, build, and maintain reporting, dashboard, and benchmarking tools, and set visualization standards for customer-facing work.

• Present findings and recommendations to customer and internal leadership, supporting pre-sales, sales, renewals, and ongoing customer engagement.

• Partner with Data Scientists and Process Improvement Consultants on methodology, project scoping, and delivery.

• Mentor analysts, review their work for accuracy and quality, and help build repeatable analytic processes for the team.

Requirements

Education (one of the following):

• Bachelor’s degree in Computer Science, Engineering, Statistics, or Health Sciences

• Master’s degree in Public Health, Epidemiology, Statistics, or a related quantitative field

• Equivalent work experience with a portfolio of relevant analytic projects

Experience:

• 7+ years of experience in healthcare data analytics, with a focus on hospital quality measurement, clinical outcomes, or performance improvement

• Hands-on experience with one or more national quality rankings or ratings programs, such as CMS Star Ratings, USNWR Best Hospitals, Leapfrog, Vizient Quality & Accountability, or CMS value-based programs (HRRP, HAC, VBP)

• Experience working with Medicare claims (MedPAR, Standard Analytic Files) and CMS public reporting data (e.g., Care Compare, Provider Data Catalog)

• Demonstrated experience leading analytic projects end to end, from scoping through delivery

• Experience presenting findings and recommendations to senior leadership or customer executives

Core Competencies:

• Advanced SQL and proficiency in Python or R for data analysis

• Expertise in business intelligence and data visualization tools, with the ability to set dashboard and reporting standards

• Strong command of statistical methods, benchmarking, and performance measurement

• Ability to translate ambiguous business and customer questions into clear analytic plans

• Ability to communicate complex findings clearly to executive and non-technical audiences

• Experience mentoring analysts and reviewing their work for quality and accuracy

Nice to Have

• Experience in a customer-facing, consulting, or pre-sales analytics role

• Six Sigma or Lean certification

• Experience with Tableau, Looker Studio, Plotly/Dash, or similar visualization platforms

• Experience with cloud data platforms (AWS, GCP, or Azure)

• Familiarity with Jupyter Notebook and collaborative analytics workflows

• Advanced proficiency in Excel/Google Sheets and PowerPoint/Google Slides

• Experience with Smartsheet or similar project management tools

  • Tableau/Google Data Studio/Plotly/Dash.

  • Pycharm, VSCode, Sublime Text, Atom, etc.

  • AWS/GCP/Azure, etc.

Base Salary Range $110,500 - $149,500

This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.

Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program  (“Breathe”).

Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

#LI-Remote

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Headquarters: Remote

About Carrot:

Carrot is the leading global fertility and family care platform, built on intelligent care orchestration: the right clinical guidance, at the right moment, in the context of each member’s life. More than a thousand multinational employers, health plans, and health systems trust Carrot to support millions of members across 195 countries – from pre-pregnancy through menopause and major life moments in between. Carrot's comprehensive clinical program delivers industry-leading cost savings for plan sponsors and award-winning experiences and improved outcomes for millions of people worldwide.

Carrot is widely regarded as a defining force in healthcare innovation as a recipient of several top-tier awards, including Fast Company's 'Most Innovative Companies' and CNBC's '100 Barrier Breaking Startups'. The company is regularly cited by leading global outlets — including The Economist, Bloomberg, The Wall Street Journal, NPR, ABC News, and Harvard Business Review — as a leading voice on digital health, the future of work, and family health. Learn more at get-carrot.com.

The Opportunity

Carrot is seeking a Business Intelligence Analyst to join our BI function as it scales to meet, and anticipate, the needs of the organization and its clients. This is an executional role providing essential analytics support across the company: you will gather requirements, field ad hoc and recurring data requests, and build the reporting dashboards that leaders across Carrot rely on to make decisions.

You will work hands-on with modern data tooling, including SQL, dbt, and enterprise BI platforms, and partner with teams across the business to translate their questions into clear, trustworthy answers. The BI team is highly cross-functional and sits alongside Data Engineering, making this a strong opportunity to sharpen technical skills while building broad business context in a mission-driven environment.

 

What You’ll Own

In this role, you will:

• Design and build data models in SQL with a focus on correctness, clarity, and reusability
• Build and maintain dashboards and reports that track key business metrics and inform decision-making across the company
• Conduct ad hoc analyses to answer high-priority business questions from stakeholders across the organization
• Collaborate with teams across Carrot to understand their data domains, reporting needs, and success metrics
• Contribute to data quality, documentation, and self-service BI capabilities as the function scales

 

What Success Looks Like  

In your first 12–18 months, you will have:

• Delivered accurate, well-documented dashboards and reports that stakeholders across the company trust and use regularly
• Fully ramped on Carrot's data stack and core data domains, independently owning recurring and ad hoc reporting requests
• Built strong working relationships with cross-functional partners and established yourself as a reliable analytics resource
• Improved turnaround and consistency of reporting by creating reusable data models and reducing manual work

 

About You 

You likely have:

• A Bachelor's Degree
• Intermediate-to-advanced SQL experience: ability to write advanced queries using joins, common table expressions, and window/analytic functions
• Experience with data visualization software (e.g., Tableau, Looker, DOMO, or Power BI) to bring data insights to life for broad audiences
• Basic statistics proficiency: experiment design, hypothesis testing, statistical significance, probability, and distributions
• Ability to translate business intelligence needs from a variety of stakeholders into technical execution and clear presentation
• Strong communication skills, with the ability to explain complex technical information to non-technical audiences

 

Nice to Have ⭐

While not required, we would be especially excited if you bring:

• Experience using dbt to transform, test, and document data
• Experience working with healthcare industry data or in other complex, regulated data environments
• Experience in a high-growth environment
• Familiarity with version control systems (Git preferred)
• Understanding of effective data modeling strategies and implementations

 

Why This Role Matters

Data is central to how Carrot operates and grows. Leaders across the company depend on accurate, timely reporting to serve members, support customers, and make sound business decisions. As a Business Intelligence Analyst, you will be the connective tissue between raw data and those decisions, ensuring the organization runs on insights it can trust.

Your work directly supports Carrot's mission of expanding access to fertility and family-building care worldwide. Better data means better decisions for the members and customers who rely on Carrot every day.

 

Interview Process 

We believe in a thoughtful and transparent interview process designed to create alignment for both candidates and our team.

For this role, candidates can expect:

1. Recruiter Screen — 30 minutes
2. Hiring Manager Interview — 45 minutes
3. Cross-Functional Panel Interviews — 45 minutes
4. Performance Task — 60 minutes

Throughout the process, we will share additional context about the team, business priorities, customer landscape, and what success looks like in this role.

 

Why Candidates Join Carrot

Carrot offers the opportunity to do meaningful work in service of a deeply human mission.

Highlights include:

• A mission-driven company focused on expanding access to fertility and family-forming care globally.
• A high-growth environment where leaders are empowered to shape strategy and drive impact.
• Competitive compensation, equity, and comprehensive benefits.
• Flexible Time Off and a culture that actively encourages employees to recharge.
• Comprehensive parental leave and family-forming benefits.
• A collaborative, inclusive, and values-driven culture.
• The opportunity to work alongside passionate, thoughtful teammates committed to improving healthcare outcomes worldwide.

 

Compensation

Carrot offers a holistic Total Rewards package designed to support our employees in all aspects of their life inside and outside of work, including health and wellness benefits, retirement savings plans, short- and long-term incentives, parental leave, family-forming assistance, and a competitive compensation package. The starting base salary for this position will range from $98,000.00- $125,000.00. Actual compensation may vary from posted base salary depending on your confirmed job-related skills and experience. 

 

Fraud and Security Notice: Please note that all communication regarding job opportunities at Carrot will come exclusively from an @get-carrot.com email address. If you receive messages from any other domain, please disregard them and report the incident to: securityreporting@get-carrot.com

 

A Note on AI

At Carrot, we believe AI can help us work smarter, move faster, and create more meaningful experiences for our members, customers, and each other. While not every role requires deep technical AI expertise, we value people who are curious, eager to learn, and excited to thoughtfully incorporate AI into their day-to-day work.

For some roles, AI fluency is a core requirement—and we'll call that out clearly in the qualifications. For everyone else, we're looking for people who embrace new ways of working, use AI responsibly to improve quality and efficiency, and continue to learn as the technology evolves.

Why Carrot?

Carrot has received national and international recognition for its pioneering work, including Fast Company's Most Innovative Companies and World Changing Ideas, Inc. Power Partners, and Modern Healthcare’s Innovators. Carrot’s global workforce has been acknowledged with several accolades, including Fortune’s Best Workplaces in Healthcare, Great Place to Work, and Age-Friendly Employer certifications. Carrot is regularly featured in media reporting on issues related to the future of work, women in leadership, and healthcare innovation, including MSNBC, The Economist, Bloomberg, The Wall Street Journal, CNBC, National Public Radio, Harvard Business Review, and more. Learn more at carrotfertility.com. 

 

To apply: https://weworkremotely.com/remote-jobs/carrot-business-intelligence-analyst

Location: Remote within the United States or Canada About Doximity Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity’s AI-powered workflow platform is trusted...

**This is a contract role expected to last until April 15th, 2027 Location: This role is Remote in the U.S., with the option to work onsite from our San Francisco,...

**This is a contract role expected to last until April 15th, 2027 Location: This role is Remote in the U.S., with the option to work onsite from our San Francisco,...

Headquarters: Remote - USA

Counterpart Health is an AI‑powered physician enablement platform that delivers clinical insights to providers at the point of care. Our flagship product, Counterpart Assistant, is embedded into clinicians’ workflows and integrates with EHR systems, helping care teams drive value-based outcomes, close care gaps, and proactively manage chronic disease. As we grow our data ecosystem, expanding across legacy interoperability networks, QHIN/TEFCA connectivity, and direct HIE integrations, we need rigorous analytical ownership to ensure the clinical data powering our platform is complete, reliable, and actionable.

You will serve as the Subject Matter Expert (SME) for clinical data completeness and effectiveness at Counterpart Health. Sitting within the Data Products pillar, this role owns the end-to-end understanding of our clinical data lifecycle: where data comes from, where it breaks down, and how each vendor or integration pathway performs across our customer markets. Your analysis will directly shape vendor strategy, facility targeting, and data pipeline investments, thus ensuring that the clinical evidence our care teams depend on is consistently available and trustworthy.

As a Data Analyst, you will:

• Proactively identify and monitor which healthcare facilities consistently generate high-quality, usable clinical documents (e.g., EHRs, discharge summaries, procedure notes) to precisely locate and quantify data gaps.
• Conduct deep-dive analyses by mapping and correlating facility-specific data across disparate sources like structured claims, clinical care summaries (CCDAs), and ADT messages to uncover systematic patterns of missingness, latency,
• Experience with TEFCA/QHIN frameworks and evolving national interoperability standards.
• Familiarity with vendor-specific data exchange platforms (e.g., Bamboo Health, HSX, Particle Health, Kno2).
• Background in value-based care, population health, or clinical data operations.
• Experience with claims-clinical data reconciliation (e.g., matching EOBs to clinical encounter records).
• Comfort working with Python or similar tools for data manipulation and automation.
• or incongruence in clinical records.
• Establish and maintain clear, transparent reporting on ADT coverage across key geographic, organizational, and technological dimensions (e.g., by county, facility, and underlying EMR system).
• Based on rigorous analysis of data flow and quality, recommend and guide the implementation of optimal technical configurations for existing data vendors (e.g., Bamboo Health, PCC, Experian, HSX).
• Conduct comprehensive evaluations and proof-of-concepts for potential new data integration technologies (e.g., Kno2 vs. Particle Health) to assess viability, quality improvements, and strategic fit.
• Systematically determine the existence and completeness of documentation associated with specific patient visits or encounters.
• Develop a data-driven framework for prioritizing facility targets for direct data acquisition, assessing impact, cost-effectiveness, and technical feasibility.
• Inform and guide vendor strategy around national initiatives such as TEFCA and QHIN adoption, ensuring Counterpart Health is positioned for compliant, high-quality data exchange.
• Partner cross-functionally with Product Managers to define data requirements, Engineers to implement reliable pipelines, and Clinical teams to validate data quality and clinical utility.
• Act as a critical liaison to identify and remove operational and technical bottlenecks, ensuring a predictable, scalable, and reliable clinical data flow across all customer markets.

You should get in touch if you have:

• 5+ years of hands-on data analytics experience, with direct exposure to healthcare data interoperability
• Strong hands-on experience with healthcare data standards: HL7, CCDA, and ADT messages.
• Proficiency in SQL and comfort working with large, complex datasets (claims, clinical logs, interoperability data).
• Background in analyzing interoperability networks (e.g., Carequality, CommonWell, eHealthExchange) or HIE integrations.
• Skilled at data visualization and able to present complex findings to both technical and non-technical stakeholders.
• Strong investigative mindset, i.e., you enjoy digging into the “why” behind missing data and diverging metrics.
• Self-directed and able to manage multiple analytical projects (vendor comparisons, visit-level reconciliation) without constant supervision.

Preferred Qualifications:

• Experience with TEFCA/QHIN frameworks and evolving national interoperability standards.
• Familiarity with vendor-specific data exchange platforms (e.g., Bamboo Health, HSX, Particle Health, Kno2).
• Background in value-based care, population health, or clinical data operations.
• Experience with claims-clinical data reconciliation (e.g., matching EOBs to clinical encounter records).
• Comfort working with Python or similar tools for data manipulation and automation.

Benefits Overview:

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
• Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

• Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
• Reimbursement for office setup expenses
• Monthly cell phone & internet stipend
• Remote-first culture, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions.

Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.

With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.

Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.

#LI-REMOTE

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

To apply: https://weworkremotely.com/remote-jobs/clover-health-data-analyst-clinical-data-effectiveness

About Niche

Niche is the leader in school search. Our mission is to make researching and enrolling in schools easy, transparent, and free. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools, we help millions of people find the right school for them. We also help thousands of schools recruit more best-fit students, by highlighting what makes them great and making it easier to visit and apply.

Niche is all about finding where you belong, and that mission inspires how we operate every day. We want Niche to be a place where people truly enjoy working and can thrive professionally.

About The Role

**We are currently recruiting for this role in Argentina and Brazil only.  We will not be considering US based candidates at this time.  All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.**

**Only applications/resumes written in English will be accepted.**

Niche’s product teams make dozens of decisions each quarter about what to build. We are looking for an analytically rigorous, product-minded Senior Product Analyst to help Niche decide what to build and know whether it worked. This is a senior individual contributor role on the Analytics team, embedded with our product teams and reporting to the Director of Product Analytics.

You will own how we measure key product areas across our family-facing and school-facing experiences, such as rankings, scholarships, registration, and new products. You will be a strategic partner to product leadership, not a request queue. That means shaping questions before work starts, running the experiments that answer them, and staying with the work through the decision.

Our analytics team works Claude-first: you will use Claude and Claude Code every day and help shape how the team and its partners use them.

What You Will Do

Product Strategy & Insight

• Embed with product teams as their analytics partner. Join planning and roadmap conversations and help identify and size opportunities before work is prioritized
• Define the metrics that matter for each product area and keep definitions consistent across dashboards and the semantic layer
• Own the measurement of product funnels, feature adoption, engagement, and retention for both families and school partners
• Run deep-dive analyses on user behavior and segments, and pair every finding with a recommendation and a clear next step
• Identify where users struggle or drop off and bring those opportunities to product managers proactively. Partner with Design and UX Research to pair behavioral data with qualitative insight

Experimentation

• Own A/B tests with product teams end to end: design and sizing based on product requirements, guardrails and duration, tracking setup in GTM and GA4, and interpreting results with honest calls on signal versus noise
• Contribute to experimentation standards and apply them across your teams so tests are tied to business outcomes, not just clicks
• Measure launches that can’t be randomized, using appropriate causal methods and clear statements of confidence

Measurement Partnership

• Write clear measurement requirements and GA4 event specs for new features before launch, build and test the GTM tags, and partner with Data Engineering on server-side and pipeline needs
• QA product data after launch, review GTM changes from partner teams, account for consent and tracking gaps, and flag quality issues early
• Build and maintain the dashboards and self-serve views (Streamlit) that let product managers answer their own recurring questions.
• Contribute to dbt models and the self-serve semantic layer with Data Engineering
• Support new data systems and tracking changes, such as consent management, with reporting requirements, GA4 reconciliation, and launch measurement

Claude-Powered Analytics

• Use Claude and Claude Code as core daily tools: writing and reviewing SQL, exploring data, drafting readouts, and building Streamlit apps
• Build and maintain the semantic layer, Claude skills, and context (metric definitions, table guides, experiment standards) that make Claude reliable on Niche’s data
• Automate recurring work, such as test readouts, KPI monitoring, and launch reviews, with Claude-driven workflows
• Keep pace with AI-assisted product development by using Claude to spot launches that need measurement
• Help product managers self-serve with Claude: maintain the skills and sanctioned definitions they rely on, coach them on reading data, and review findings before they drive decisions
• Help analysts and product partners adopt Claude, and help define the team’s standards for validating its output

Analytical Rigor & Influence

• Model rigor in product data: reproducible SQL, documented methods, validated results, and a clear line between correlation and causation
• Hold AI-assisted work to the same bar as your own: check the queries, numbers, and logic before anything ships
• Mentor analysts informally, and review and pressure-test analyses from the team and from product partners, including AI-assisted work
• Present findings to product and company leadership with a clear “so what”

During the First Month:

• Meet stakeholders across Product, Analytics, and Data Engineering to learn team goals, roadmaps, and workflows
• Get set up with Claude, Claude Code, and the team’s existing skills. Learn our stack (Snowflake, dbt, Streamlit, GA4 data) and how product events are defined and captured
• Review existing product dashboards and reports to build a baseline view of core product KPIs

Within 3 Months:

• Act as analytics partner to your assigned product teams, including defining metrics and reading out launches and tests
• Write measurement requirements for upcoming launches with Data Engineering
• Learn the boundaries and collaborations between Product Analytics and Data Engineering so ownership of shared data is clear

Within 6 Months:

• Apply and help evolve experimentation standards across your teams
• Become the go-to expert on product behavior data, presenting findings and recommendations to cross-functional teams
• Ship at least one self-directed deep dive that influences a product decision, and build or improve one Claude skill or workflow the team reuses

Within 12 Months:

• Use deep product and user knowledge to inform roadmap prioritization
• Build a scalable measurement framework for your product areas that helps teams make data-informed decisions on their own
• Contribute to the Analytics roadmap with new methods, tools, or process improvements

What We Are Looking For

Experience

• 5+ years in product analytics, data analytics, or a closely related data role
• Demonstrated experience designing and analyzing A/B tests and owning product measurement end to end
• Hands-on experience analyzing web or app behavioral data (GA4, GTM, PostHog, Amplitude, Mixpanel, or similar), including its limitations
• Hands-on experience using Claude, Claude Code, or similar AI tools in analytics work, with examples of workflows you built or automated
• Track record of influencing product decisions and roadmaps with data
• Proven ability to turn complex findings into clear recommendations for non-technical partners, and to say plainly when the data won’t support the question
• Experience in a fast-paced, cross-functional environment with shifting priorities

Skills

• Senior SQL proficiency; comfortable writing, reviewing, and debugging complex queries independently
• Strong grounding in statistics and experimentation, with Python or R for analysis
• Experience with Snowflake, dbt, and version-controlled analytics work
• Strong dashboarding skills in Streamlit, Looker, or similar
• Fluency with Claude or similar AI tools: prompting well, giving models the right context, and checking every query and number they produce
• Comfort operating as a senior IC: influencing without authority and working self-directed on ambiguous problems

Education

• Bachelor’s degree in Statistics, Data Science, Economics, Computer Science, or a related quantitative field, or equivalent practical experience. A Master’s degree is a plus

Nice to Have

• Experience building Claude skills, MCP connectors, or agent workflows for a team
• Understanding of K-12 or college admissions processes
• Experience with causal inference methods beyond A/B tests
• Experience contributing to a semantic layer or self-serve metrics layer
• Background in marketplace, consumer internet, SaaS, or education technology

Interview Process

Candidate experience is a top priority for our talent and hiring teams.  We believe in providing a transparent, authentic and comprehensive interview process where you have the opportunity to learn about us while we get to know you and your experience.  The interview process is outlined here:

• Video Interview with Talent Acquisition Partner - 30 Minutes

• Video Interview with Hiring Manager - 30 Minutes

• Team Interview - 3 separate 30 Minutes Interviews

• Case Study & Presentation w/ Analytics Team

• Hiring Manager Follow-up if successful- 30 Minutes

**We are currently recruiting for this role in Argentina and Brazil only.  We will not be considering US based candidates at this time.  All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.**

**Only applications/resumes written in English will be accepted.**

We Make Remote Work Remarkable • TopTalent from LatAm

Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.

We need an English-fluent Senior Data Analyst, based in Latin America, available to work remotely.

We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who’s constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities:

• Own product analytics across mobile apps and web/browser products: activation, feature adoption, onboarding drop-off, engagement and retention

• Act as the primary analytics partner for product owners, shaping roadmap priorities with data

• Build analytical frameworks to help product teams make data-informed decisions on new and existing features

• Turn ambiguous product questions into concrete analyses and clear recommendations

• Partner with product managers on event tracking plans and instrumentation QA

• Own A/B tests and feature experiments end to end: hypothesis, power analysis, readout and ship decision

• Use AI tools to automate recurring reporting and speed up insight generation

• Build self-serve reporting for product owners

• Find anomalies and data integrity gaps, and fix or escalate them

• Present findings to non-technical audiences in clear, concise narratives

• Proactively surface trends and opportunities

• Mentor other analysts and share best practices across the team

Requirements:

• 5+ years of experience in product analytics, data analytics or a related role with consumer mobile apps or web products

• Advanced SQL: window functions, CTEs, complex joins and query optimization on large datasets

• Hands-on experimentation experience, including A/B test design, power analysis and statistical testing

• Strong product analytics fundamentals: funnel and cohort analysis, event data and instrumentation

• Daily use of AI tools in your analytics workflow, such as Claude, Claude Cowork or Claude Code

• Working knowledge of Python for analysis

• Comfortable with ambiguity and shifting priorities; you take ownership from question through recommendation

• Strong written and verbal communication skills

• Fluent English and at least 4 hours of overlap with US Eastern business hours (remote roles)

It’s a plus:

• Experience with ad-monetized or subscription consumer apps

• Familiarity with dbt or modern data modeling practices

• Experience with Android apps, browsers or browser extensions

• Experience with cloud data warehouses on AWS or Google Cloud

• Experience with Amazon Quick or other AI-powered BI tools

• Experience building AI-powered or agent-driven reporting workflows

Compensation:

• The salary range offered for this position varies from (USD) $4,000 - $5,500 per month, depending on seniority and skillset.

• This position is for a full time contract, through a payroll platform.

• The talent will work remotely allocated at our client.

Here are the steps for this process:

TBD > Application review/approval > Screening interview with GoFasti’s team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.

Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.

Note for Candidates Approached Directly:

If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.

Thank you!

We Make Remote Work Remarkable • TopTalent from LatAm

Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.

We need an English-fluent Senior Data Scientist, based in Latin America, available to work remotely.

We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who’s constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities:

• Develop, deploy and maintain predictive models for lifetime value (LTV), churn and retention across mobile apps and web/browser products

• Own the modeling roadmap for your area, from problem framing through production and ongoing monitoring

• Build cohort and LTV models that inform user acquisition budgets and payback decisions

• Build user segmentation and propensity models that support personalization and targeting

• Improve model accuracy over time through validation, backtesting and new data sources

• Design experiments and causal analyses that measure the true impact of product and marketing changes

• Identify early behavioral signals that predict conversion, churn and long-term value

• Apply LLMs and machine learning to classify unstructured text and behavioral signals into interest categories and product and brand intent

• Partner with data engineering to productionize models and keep their inputs reliable

• Build internal AI-powered analytics tools and data products

• Explain model results, assumptions and confidence levels clearly to stakeholders and leadership

• Set modeling standards, documentation and best practices for the team

• Mentor other analysts and data scientists and share best practices across the team

Requirements:

• 5+ years of experience in data science, statistical modeling or machine learning, ideally with consumer app or web data

• Strong Python (pandas, scikit-learn or similar) and advanced SQL

• Experience deploying models to production and monitoring them over time

• Solid grounding in statistics, forecasting and experimentation

• Hands-on experience with LLM APIs, prompt design or building AI-powered data tools

• Daily use of AI tools as a development partner, such as Claude, Claude Code or Claude Cowork

• Sound judgment with incomplete or noisy data; you structure the problem before reaching for a tool

• Strong communication skills, including turning complex analysis into clear business recommendations

• Fluent English and at least 4 hours of overlap with US Eastern business hours (remote roles)

It’s a plus:

• Experience with ad-monetized or subscription consumer apps

• Experience with recommendation systems, personalization or audience segmentation for ad targeting

• Experience with ML platforms on AWS or Google Cloud, such as SageMaker or Vertex AI

• Familiarity with MLOps and orchestration tools such as MLflow, Airflow or dbt

• Familiarity with Bayesian methods, uplift modeling or multi-armed bandits

Compensation:

• The salary range offered for this position varies from (USD) $4,000 - $5,500 per month, depending on seniority and skillset.

• This position is for a full time contract, through a payroll platform.

• The talent will work remotely allocated at our client.

Here are the steps for this process:

TBD > Application review/approval > Screening interview with GoFasti’s team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.

Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.

Note for Candidates Approached Directly:

If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.

Thank you!

Job Title: Data Scientist - Measurement

Location: Remote - US Only

About InMarket

Since 2010, InMarket has been the leader in 360-degree consumer intelligence and real-time activation for thousands of today’s top brands. Through InMarket’s data-driven marketing platform, brands can build targeted audiences, activate media in real time, and measure success in driving return on ad spend. InMarket’s proprietary Moments offering outperforms traditional mobile advertising by 6x.* Our LCI attribution platform, which won the MarTech Breakthrough Award for Best Advertising Measurement Platform, was validated by Forrester to drive an average of $40 ROAS for our clients.

*Source: Wordstream US Google Display Benchmarks for Mobile Media

About the Role

AI Engineering is a core driver of InMarket’s product design and innovation. As an AI Engineering team member, you will have the opportunity to leverage cutting-edge data science, machine learning and AI on petabytes of data in ways that make a large and lasting impact on the company. We take on greenfield projects and launch entirely new products giving you the opportunity to take large amounts of ownership and shape our technology stack.

Your role is to conceptualize, develop and deploy the core machine learning and AI solutions that power our industry-leading advertising measurement products. These solutions will be intelligent, adaptive, operate at scale, and be based on modern causal inference, marketing statistical methods and AI. You will collaborate closely with data analysts, account managers, product teams and engineering to understand our business and rapidly iterate on solutions that maximize ROI. We’re an AI-forward organization, and agentic development is core to how we work - AI Engineering is constantly experimenting with AI tools to move from idea to production faster than ever.

Your daily Impact as Data Scientist

• Work with senior team members and product stakeholders to develop prototypes and take early-stage ideas through to production
• Take ownership of core advertising measurement products to expand our capabilities and push our performance boundaries
• Explore our data and systems, prototype ideas, run experiments to validate them and propose new products or advancements
• Collaborate closely with our engineering and product teams to expand our causal inference and attribution based measurement platform

Your Experience & Expertise

• Bachelors in Statistics, Computer Science, Economics, Operations Research, or similar quantitative field (graduate degree preferred)
• Solid understanding of modern data science, AI and machine learning
• At least 3 years of experience with applying modern statistical marketing models, Bayesian statistics, and causal inference to solve complex, data-driven problems
• Programming proficiency (preferably Python, its data science stack, and SQL) and desire to write production code
• Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical backgrounds
• Experience using Claude Code, Codex or similar
• Experience with agentic development

Nice to Haves

• Experience building and supporting Media Mix Modeling (MMM)
• Experience working in modern cloud infrastructure environments like AWS and GCP is a big plus - particularly, GCP.
• Experience with BigQuery
• Familiarity with the digital media / advertising industry is a big plus.
• Experience with Spark

Compensation & Benefits Summary

• Competitive salary, stock options, flexible vacation
• Medical, dental and Flexible Spending Account (FSA)
• Company Matched 401(k)
• Unlimited PTO (Within reason)
• Talented co-workers and management
• Agile Development Program (For continued learning/professional development)
• Paid Paternity & Maternity Leave

For candidates in California, Colorado, New York City, Illinois, Minnesota, New Jersey, Vermont, and Massachusetts, the Targeted Base Salary Range for this role is $135,000 - $155,000

Actual salaries will vary depending on factors including but not limited to work experience, specialized skills and training, performance in role, business needs, and job requirements. Base salary is subject to change and may be modified in the future. Base salary is just one component of InMarket’s total rewards package that also may include bonus, equity, and benefits.  Ask your recruiter for more information!

At InMarket we are committed to a culture that supports diversity, inclusion, belonging and equal opportunity. We celebrate all people and believe everyone deserves respect regardless of race, gender, sexual orientation, backgrounds, experiences, abilities or beliefs.

InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.

Privacy Notice for California Job Applicants: https://inmarket.com/ca-notice-for-job-applicants/

#LI-Remote

Company Description

About Sutherland:

At Sutherland Healthcare Solutions, we’re transforming how we work by harnessing the power of AI, data, and digital innovation to accelerate the discovery and development of life-saving therapies. Our vision is to embed artificial intelligence and advanced analytics across every stage of our scientific and operational workflows—empowering our teams with smarter tools, seamless data, and actionable insights to deliver client-centric services and solutions that better serve our customers and, ultimately, improve patients’ lives.

Job Description

**CANADA BASED**(remote)

As a Senior Data Analyst, you’ll be a key driver of insight and innovation within our Enterprise Data and Analytics team. We’re looking for a curious, detail-oriented professional who thrives on turning complex scientific and operational data into clear, actionable intelligence. In this role, you’ll lead the development of analytical solutions that illuminate critical KPIs, uncover performance trends, and support strategic decision-making across the business. You’ll partner closely with stakeholders to map business processes, align data solutions with real-world operations, and conduct deep-dive analyses that solve high-value challenges. This is a high-impact opportunity to shape how data informs strategy and contributes to our mission of creating healthier lives.

As a Sr. Data Analyst you will be focused on:

Our team thrives on curiosity, collaboration, and a commitment to excellence. We work closely with cross-functional engineering and business partners to deliver impactful data and analytics solutions that shape the future of research and development.

In this role, primary responsibilities include:

• Analyzing complex scientific datasets to uncover meaningful insights and support strategic initiatives.

• Mapping key business process rules to ensure data solutions align with operational realities.

• Creating insight-driven solutions that bring visibility into critical KPIs and performance metrics.

• Conducting deep-dive analyses to solve challenging problems and support evidence-based recommendations.

• Engage Business Stakeholders at all levels to identify requirements for current and future products through ongoing interaction.

• Lead requirements workshops and User Acceptance Testing for new data, products and analytics solutions.

• Analyze business processes and develop business flow diagrams and data flow diagrams to support system design and optimization.

• Work cross-functionally with engineering, product, and business teams to ensure alignment and successful delivery.

• Data Profiling, mining, and data validation/testing to ensure data is fit for use by the business.

• Perform ad-hoc analysis and present results in a clear and user-friendly manner.

• Build strong business relationships that foster a collaborative and trusting approach and partnership.

Qualifications

We are looking for the following minimum qualifications for this role:

• Bachelor degree in Business Management, Computer Science or any related field.
• Master in Business Administration/ Information Systems/ Computer Science is an asset.
• Excellent analytical and problem-solving skills with the ability to approach challenges creatively.
• Ability to understand and make sense of complex datasets with a strong attention to detail
• Ability to translate requirements to well-written user stories to bridge the gap between business and technology.
• Strong business mindset with ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery.
• Ability to see big picture and then identify key areas for deep analysis to support sound solutions.
• Self-driven and capable of working both independently and collaboratively within a team setting.
• Experience in life science or Biotechnology industry is a plus.
• MUST be based in Canada

Technical Expertise required:

• Minimum of 5 years’ experience in writing complex SQL queries, data mining, data profiling, and data validation/testing;
• Minimum of 5 years’ experience as a Business Systems Analyst / Data Analyst specializing in the Data & Analytics discipline, preferably in a senior or lead role;
• Minimum of 5 years’ experience organizing and running User Acceptance Testing cycles and training with business users and stakeholders;
• Experience working with Data Visualization Tools like Power BI, Tableau, Looker, MicroStrategy
• Experienced working in Agile Software Development Methodology.

Additional Information

All your information will be kept confidential according to EEO guidelines.

EEOC and Veteran Documentation

During employment, employees are treated without regard to race, color, religion, sex, national origin, age, marital or veteran status, medical condition or handicap, or any other legally protected status.

At times, government agencies require periodic reports from employers on the sex, ethnicity, handicap, veteran and other protected status of employees. The purpose of this Administrative EEO Record is for statistical analysis only and is used to comply with government record keeping, reporting, and other legal requirements. Periodic reports are made to the government on the following information. The completion of the Administrative EEO record is optional. If you choose to volunteer the requested information, please note that all

Administrative EEO Records are kept in a Confidential File and are not part of your Application for Employment or Personnel file.

Please note: YOUR COOPERATION IS VOLUNTARY. INCLUSION OR EXCLUSION OF ANY DATA WILL NOT AFFECT ANY EMPLOYMENT DECISION.

A quick run-down of the job

We’re looking for a Data Product Lead to own the direction and output of LI.FI’s Data team. This is partially a hands-on role with a clear focus on analytics and product thinking. You’ll spend a significant portion of your time on the data yourself: deep-dive analyses, dashboards, business cases, and sharing insights that shape how we make decisions across the company. The rest of your time goes to product thinking, prioritisation, stakeholder management, and leading the team.

You’ll report to our CTO and line manage the Data team, partnering closely with our Data Tech Lead who owns the technical and infrastructure side. Think of it as the PM-and-tech-lead model: you own the what and why, your tech lead partner owns the how. Together you set the roadmap and priorities for the team.

Please note: This role is remote within the EMEA region. Your application will not be considered otherwise.

What you’ll do

• Own the Data team’s priorities, intake, and triage; run team rituals including planning, reviews, and workshops

• Do hands-on analytics work: deep-dives, dashboards, business cases, and recommendations that change decisions, including data inputs for the weekly report and Monthly Business Review

• Partner with Product Managers to embed tracking and success metrics into PRDs, and align the data roadmap with product roadmaps

• Translate business questions from stakeholders into clear specs, metric definitions, and acceptance criteria the team can deliver

• Act as the quality gate on analyses, dashboards, and datasets before they reach internal or external stakeholders

• Coach and develop the Data team, levelling up team members on problem framing, communication, and stakeholder management

• Partner with the Data Tech Lead to co-own the roadmap, making sure infrastructure work serves real business needs

What makes a good candidate

• 6+ years in data analytics, analytics engineering, or data product work, with experience leading people or setting priorities for a small team

• Expert SQL: you can pull, validate, and challenge data independently, without relying on engineers

• Hands-on experience building dashboards and reports in BI tools (Omni, Superset, or similar)

• Strong business and product mindset: you use data to find revenue, pricing, or growth opportunities, not just to answer questions

• Enough technical depth to be a real partner to data engineers; comfortable discussing warehouse design, pipelines, data models, and trade-offs

• Proven stakeholder management and communication skills, with the ability to work across product, engineering, finance, BD, and C-suite

• Strong data storytelling: you adapt the message to technical and non-technical audiences

• Crypto/DeFi domain experience: ideally in a data role at a crypto company, or demonstrable deep understanding of the space (cross-chain, DEX aggregation, bridges, or wallets)

• Comfortable in a fast-paced, high-growth environment where priorities shift and you’ll need to build some of the playbook as you go

Nice to have

• Python

• dbt and dimensional modelling

• Semantic layer design and metric definition management

• AI-readiness: structuring data, metrics, and documentation so they can be reliably consumed by LLMs and agents

• ML modelling experience (forecasting, classification, anomaly detection)

• On-chain data and tooling (e.g. Dune Analytics)

• Exposure to streaming data (e.g. Kafka)

We encourage you to apply if you feel your experience and skills equip you for this job but are not listed here!

Company culture

• Embracing the differences

  • Embrace your own differences

  • Respect and welcome the unique qualities of others

  • See others’ differences as an opportunity to grow

• Own it, do it

  • Own tasks end-to-end

  • Hold yourself to a high bar for execution

  • Make bold decisions, and be accountable

  • Understand your limitations and seek for help

• Fail forward

  • Try - don’t be afraid to fail

  • Learn - don’t make the same mistake twice

  • Adapt - grow with the experience

• Have fun together

  • Take the time to get to know and understand each other better

  • Don’t take yourself too seriously and keep it light-hearted

  • Fun should be coming from a place of love and respect

What you’ll get

• Annual company offsites — we’ve explored Thailand, Vietnam, Morocco, and Greece together. Next stop for 2027: TBD!

• 30 days of PTO

• Flexible remote days

• Flexible working hours

• Equity participation from day 1

• Entitlement to work computer (choice of equipment)

• An annual 1,000€ personal development budget once you have worked 6+ months (pro-rated the first year)

• A one-time 1,000€ remote budget to use on coworking, office setup, etc.

If you join us as an independent contractor, you’re only entitled to the first five benefits of this list.

Application process

Setting yourself up for success starts with the application! Click here to discover valuable tips that will help you navigate our application process effectively.

LI.FI is an equal opportunity employer. We encourage individuals of all backgrounds to apply. Join us in our dedication to fostering a workplace that values and respects each team member’s unique contributions.

Shortlisted candidates will undergo a comprehensive interview process, including a people operations interview, a take-home assignment, a meet-the-team & founder interview, and a reference check.

For more information, visit our page detailing our hiring process!

DataKind is looking for a Data Integration Specialist (Contract-to-Hire Remote-US)!

Location

This is a remote contract position until February 2027 (with possibility of conversion to a full-time staff position) for approximately 40 hours/week on average, that can be based anywhere in the U.S. and requires the majority of working hours each day to fall between 8am and 6pm Eastern Standard Time.

Compensation

Rate: $60–$67 per hour

Overview

Be part of something big: help unify data across multiple university systems as a key contributor to a major higher education initiative. You’ll play a critical role in consolidating data across multiple higher education systems using your expertise in data schemas to map, transform, and validate data, ensuring every piece is accurate, consistent, and ready to power smarter decisions. The broader aim is to provide colleges and universities with technology tools that will make their data ready for analyses to support student outcomes.

Reporting to the Director, Research, this role is a chance to work on a forward-thinking, high-impact project alongside a collaborative, driven team, while building hands-on experience that will set you apart in the field. If you’re passionate about data and eager to make a real difference in higher education, we want to hear from you.

What You’ll Do

• Perform comprehensive data mapping and execute transformations to build a unified data model for a higher education product.
• Work extensively with higher education system schemas and databases, primarily from ed tech platforms.
• Review, prioritize, and analyze data columns from various ed-tech systems, such as SIS and LMS platforms for inclusion in the integrated data model.
• Using higher education data, evaluate and validate data mappings and transformations to ensure accuracy and consistency at every step.
• Contribute to advanced data transformation processes that enable mapping across schemas, including splitting or concatenating data fields and applying filtering and if-then logic before populating target data fields.
• Support data quality assurance efforts using tools like dbt and Great Expectations.
• Collaborate closely with cross-functional teammates and external users to understand data needs and ensure the final data model meets real-world operational requirements.
• Attend calls and video meetings as required to support your scope of work.

Qualifications

Required

• Deep alignment with DataKind’s mission and values and demonstrated commitment to educational equity and data-driven social impact.
• The ability to translate data from one structure to another, including spotting fields that only partly match, places where meaning gets lost, and fields that need to be split or merged.
• Skill in writing data dictionaries and mapping specifications, and in tracking where data came from, so every transformation is traceable and repeatable.
• Related to the above, experience with data architecture and governance as a foundation for producing insights from institutional data.
• Direct experience working with higher education data schemas and databases, including data from student information systems (SIS), Learning Management Systems (LMS), and related ed-tech platforms.
• Strong understanding of data transformations and checks of data quality.
• Proven ability to review and prioritize data columns across multiple systems for integration.
• Familiarity with SQL and Python.
• Strong project and time management skills, including the ability to gauge how long a task will take, keep deadlines on track, and communicate with team members about deliverables.

Preferred

• Familiarity with Agile methodologies.
• Ability to use Git for version control.
• Proficiency in Python and SQL.
• Experience with complex data transformation tools such as dbt and data validation frameworks like Great Expectations.
• Prior experience in higher education data environments or data integration firms.

About DataKind

At DataKind, we believe in the transformative power of data science and AI to create a more promising future. Since our founding in 2012, we’ve been at the forefront of designing scalable, data-driven tools that address some of the world’s toughest challenges—ranging from frontline health, humanitarian action, climate and environment, economic opportunity, education, and more. As both a product innovator and a movement catalyst, we set new standards in the social sector, empowering organizations to harness the full potential of data science and AI while putting communities first.

Why Work with DataKind(Benefits only applicable for Full-time Staff)

At DataKind, we believe that people are the most important asset to delivering on our mission. As a people-first remote organization, we offer the following for all our employees:

Flexibility and time off. Enjoy genuine flexibility that goes beyond adjustable hours. We build in shared time off, organization-wide recharge days, bi-weekly meeting-free days, and flexible PTO (with a minimum of 20 vacation days encouraged annually).

Comprehensive Wellness Support. We care for your total wellbeing with 100% employer-paid medical, vision, and dental benefits for employees (72% for dependents), a wellness reimbursement program for the activities and purchases that matter to you, and 12 weeks paid parental leave when you need it most.

A Culture of Growth. Every team member receives professional development funding each year, alongside mentorship and advancement opportunities. We invest in your future with a 401(k) plan with 5% employer matching.

Meaningful Connection. Despite being distributed across time zones, we value being able to come together in person for conferences, strategic planning, and at our annual staff retreat.

Living our Values. DataKind is committed to a diverse, equitable and inclusive work environment in our day-to-day work and via special initiatives driven by our DEI Steering Committee.

DataKind is an Equal Opportunity Employer

DataKind is an equal opportunity employer and strongly encourages candidates from underrepresented groups in tech to apply. DataKind does not discriminate on the basis of race, color, gender, disability, religion, national origin, age, sexual orientation, genetic information, pregnancy, or any other protected category.

Applicants must have a U.S.-based permanent address and be currently authorized to work in the United States on a full-time basis indefinitely without employer visa sponsorship.

Headquarters: Remote (United States)

Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic!

About Tailscale 

Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.

About the Role

We are looking for an Analytics Engineer who thrives in high-complexity environments—someone excited to bring clarity to chaos, untangle complex models, and lay down the foundation for scalable solutions.

This is a hands-on, high-impact role for someone who isn’t afraid to address manual processes, viewing them as opportunities to build scalable solutions that drive meaningful impact. You’ll work closely with stakeholders across the company to build reliable, trusted data models that support reporting, analysis, and decision-making.

Key Responsibilities

• Dive into complex systems and manual workflows to develop an understanding of our tools and constraints.
• Thoughtfully design and maintain clean, scalable, production-grade dbt models (e.g., ARR, revenue recognition).
• Work across the full data pipeline, from ingestion to transformation to visualization.
• Take a pragmatic approach to system challenges, balancing quick fixes with thoughtful long-term design.
• Collaborate with Finance, Engineering, Sales, and other teams across the company to understand data needs and deliver timely, practical solutions.

What We Are Looking For

• Experience designing and maintaining production-grade data models and pipelines.
• Deep understanding of modern data modeling principles and best practices.
• Strong SQL skills and confidence working with complex datasets and schemas.
• High attention to detail, with high standards for data accuracy and validation.
• Flexibility and resourcefulness in navigating manual tasks or imperfect systems.
• Passion for clean code, scalable architecture, and incrementally reducing complexity over time.
• Ability to manage time, prioritize effectively, and thrive in a fast-moving environment.
• Clear communication skills with both technical and non-technical collaborators.
• Willingness to flexibly support other domains (e.g., Product, Marketing, and Engineering) as the team grows.

Nice to Have

• Experience at a high-growth PLG SaaS company.
• A track record of transforming manual, ad hoc workflows into scalable data pipelines.
• Familiarity with billing systems, GAAP accounting, revenue recognition, or audit support.
• Exposure to Stripe, Salesforce, or Orb in billing and finance contexts.
• Familiarity with financial cycles and the need for fast iteration during month- and quarter-end.

Our Tech Stack

• Snowflake, dbt, Hightouch, Fivetran, Looker, Stripe, Salesforce, Orb.

As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set.

US Pay Range$152,000—$190,000 USD

What We Offer

• An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life.
• A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles).
• Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family!
• Remote first company—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description.
• Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation.
• Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration.
  
• Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. 
• Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! 
• A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. 
• Paid parental leave program. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents).

Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter.

Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people.

Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness.

To apply: https://weworkremotely.com/remote-jobs/tailscale-analytics-engineer-data

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.

Smartsheet is looking for an experienced Senior Data Scientist to drive help guide analyses, create predictive and prescriptive insights, and influence decisions. With thousands of subscribing organizations and millions of users there is lots of opportunity to make a meaningful impact and increase growth through analytics within Smartsheet. You are curious, have strong data science and machine learning skills  and the ability to communicate key insights effectively. You will work primarily with Product teams and will be a part of Smartsheet’s Business Intelligence team.

This full-time position reports to the Sr. Director of Data Science and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.

You Will:

• Leverage data analytics and machine learning techniques to inform product development, optimize user experiences, and drive key performance metrics such as user acquisition, engagement, retention, and growth
• Partner with Product, UX and Engineering teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
• Understand our customer needs and design metrics to analyze how our customers are using product and optimize products and features
• Conduct experiments, causal studies and A/B tests to measure the impact of product changes
• Leverage data to understand product performance and to identify improvement opportunities
• Complete the full analytics lifecycle from understanding the business objective and understanding the data to developing automated reporting and visualizations
• Effectively present analysis to teams and give data-based recommendations to encourage data-driven decisions, assisting in product ideation and feature launch decisions
• Think strategically on how to scale your work
• Identify areas for further investigation
• Drive a data culture within the Product, UX and Engineering teams

You Have:

• Bachelor’s degree and 8+ years of experience (or 10+ years of experience)
• Extensive knowledge and practical experience in several of the following areas: product analytics techniques, machine learning, statistics, experimental design
• Proficient analytical skills for problem solving; can perform descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis.
• Strong programming skills in Python or R
• Proficient in SQL and  skilled in visualization tools (ex. Tableau)
• Strong track record of forming effective cross-functional partnerships
• Experience using data to meaningfully impact product, strategy and execution
• Experience communicating analysis clearly to others
• Ability to research and learn new technologies, tools, and methodologies
• Ability to thrive in a dynamic environment, find opportunities and execute in both independent and collaborative environments

Current US Perks & Benefits:

• Employer subsidized medical/vision and dental coverage for full-time employees
• 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay)
• Monthly stipend to support your work and productivity
• Flexible Time Away Program, plus Sick Time Off
• US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans
• US employees receive 12 paid holidays per year
• Up to 24 weeks of Parental Leave
• Personal paid Volunteer Day to support our community
• Opportunities for professional growth and development including access to Udemy online courses
• Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account
• Teleworking options from any registered location in the U.S. (role specific)

Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity.

US Base Salary Pay Range

$155,000—$185,000 USD

Get to Know Us:

At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.

Equal Opportunity Employer:

Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

#LI-Remote

Type: Full-time, salaried employment

Location: Remote in the UK only.

Salary Range: £121,000 - £137,000 dependant on experience + stock options

Focal Systems is the industry leader in retail AI solutions. We are headquartered in San Francisco, California with operations in Canada and the UK, and a tech-hub in Poland. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with some of the top retailers in the world.

We seek smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world!

About the Role

As Director of Analytics, you will own the full path from raw data to decision: the data warehouse, the transformation layer, and the BI tooling analysts and the business actually touch. You will set the technical direction for the analytics stack, lead a small team of analysts and analytics engineers, and be the person executive stakeholders come to for a straight answer backed by solid numbers.

This is a hands-on leadership role. You will manage the team, but you are also expected to review models, dig into the warehouse yourself, and make the tooling calls, not just delegate them.

What We Are Looking For

• You are a rigorous thinker who treats data as evidence, not decoration, and holds your team to that same standard
• You have strong technical chops in SQL and the modern data stack (warehouse, transformation layer, BI layer), and you can go deep on any of them
• You have led or grown a team of analysts or analytics engineers, and you know how to hire, mentor, and set a bar
• You are comfortable owning ambiguous, open-ended problems, from “what should we even be measuring” through to a shipped dashboard
• You communicate findings crisply to technical and non-technical audiences, including at the executive level
• You have opinions on BI tooling grounded in experience, not just familiarity, and can make a real build-vs-buy or migrate-vs-stay case

What You Will Be Doing

• Own the analytics architecture end to end, from the Snowflake warehouse and dbt transformation layer through to the BI/reporting layer used across the business
• Set and evolve BI tooling strategy, including evaluating whether our current tool, Sigma, remains the right fit versus alternatives like Looker, Tableau, Power BI, Hex, or Mode as the team and data volume grow
• Lead, hire, and develop a team ofanalysts and analytics engineers
• Partner with Product, Customer Success, and Engineering to define key metrics, build self-serve reporting, and translate business questions into well-scoped analytical work
• Establish data modeling standards, testing, and governance across dbt models so the numbers hold up under scrutiny
• Own data security and access controls across the warehouse and BI layer, ensuring sensitive retail, store, and operational data is properly governed, access is scoped by role, and we meet our customers’ data handling requirements
• Build and own executive-facing reporting on core business metrics such as product availability, store performance, and inventory accuracy

Requirements

• 8+ years of experience in analytics, with at least 3 years directly managing or leading a team
• Deep hands-on SQL, including complex CTEs, window functions, and query optimization
• Real experience running a cloud data warehouse, Snowflake strongly preferred
• Hands-on experience with dbt or a comparable transformation layer
• Track record evaluating, migrating, or scaling BI tools, with the ability to speak concretely to tradeoffs between tools like Sigma, Looker, Tableau, and Power BI
• Experience translating messy operational data into decisions executives act on
• Excellent written and verbal communication, with the ability to influence cross-functional partners without authority
• Comfortable operating remote-first, across a distributed team

Nice to Have

• Experience with IoT, sensor, or computer-vision-derived data (high-volume, noisy, real-time)
• Python for analytics engineering or pipeline work
• Experience scaling an analytics function inside a growth-stage startup
• Background in retail, grocery, logistics, or other operationally complex environments
• Experience mentoring managers, not just individual contributors

Why Focal Systems

Strong Values and Mission - We are a tightly-knit team with an ambitious mission and a strong set of core values, which define our approach to business and have successfully guided us since inception.

Exceptional Team - We are a team of hard-working, fun-loving professionals from some of the most eminent universities, research labs, and tech companies of our time. We pride ourselves on recruiting exceptional individuals to help us redefine the state-of-the-art.

Outstanding Partners - We work with 10+ of the largest retailers in the world and have a world-class roster of investors, advisors and partners to support & advise us in our endeavors.

What we offer We care deeply about the health, happiness, and wellbeing of all of our employees. We offer:

• Competitive Salary & Attractive Stock
• Generous Paid Time Off
• Pension
• Sick Leave
• Parental Leave
• Learning and Development Budget

Company Description

When you join Turnitin, you’ll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are.

Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.

Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines.

Job Description

The purpose of this role is to bridge the gap between complex data infrastructure and actionable business strategy. You will provide day-to-day support to Revenue Operations (RevOps), including Sales, Marketing, and Customer Experience leaders.

We are currently in an exciting transition, migrating our data workflows from Alteryx to dbt. As a BI Analyst, you will sit at the intersection of data engineering and business analysis. You aren’t just a “dashboard builder”; you are an Analytics Engineer who builds robust data models in Redshift, orchestrates workflows via Dagster/Airflow, and works directly with stakeholders to translate technical outputs into business impact.

Crucially, you will help us move beyond standard reporting. We are looking for someone genuinely excited about the frontier of AI and LLM capabilities, helping us integrate predictive analytics and machine learning (via Amazon SageMaker) into the RevOps ecosystem.

Key Responsibilities and Outputs

• Data Modeling & Migration: Lead the migration of legacy workflows from Alteryx to dbt, ensuring high-quality, documented, and tested data models that serve as a single source of truth.
• Orchestration & Pipelines: Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance within our Redshift warehouse.
• Stakeholder Collaboration & Translation: Act as the primary liaison between technical data structures and non-technical leaders. You will translate complex “data speak” into clear insights that highlight ROI and business impact.
• AI & Advanced Analytics: Actively explore and implement AI/LLM capabilities to enhance data discovery and predictive modeling. Collaborate with Product/Engineering to apply Machine Learning (SageMaker) to areas like churn prediction and lead scoring.
• RevOps Strategy: Support high-impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into globally symbols KPIs via Tableau.

Proven Characteristics for Success

• The “Technical Translator”: You can explain a join or a latent variable to a Sales Director in a way that makes sense for their quota.
• Impact-Focused: You don’t just deliver data; you deliver the “so what?”
• AI Enthusiast: You stay up to date with the latest in LLMs and are constantly thinking about how to apply generative AI to analytics workflows.
• Curiosity & Ownership: You lead with questions and take pride in the “cleanliness” and architecture of your code.

Qualifications

Essential

• Experience: 5+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role.
• dbt Expertise: Proven experience building and maintaining production-grade data models using dbt.
• Orchestration Tools: Hands-on experience with Dagster or Airflow.
• SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery).
• BI Visualization: Experience building stakeholder-facing dashboards in Tableau.
• CRM Knowledge: Familiarity with Salesforce data structures.

Preferred

• Alteryx: Experience with Alteryx (highly beneficial for supporting our migration to dbt).
• AI/ML: Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker).
• Advanced Tableau: Building advanced dashboards and experience with Tableau Online/Server.
• Data Modeling: Salesforce-specific data modeling experience.
• Big Data: Experience dealing with large (+1M rows) customer engagement datasets.

Additional Information

The expected annual base salary range for this position is: $84,225/year to $140,375/year. This position is bonus eligible / commission-based.

Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered.

Total Rewards @ Turnitin

At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they’re only part of the value you receive in exchange for your work.

Beyond compensation, you’ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You’ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates.

In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life’s challenges. You’ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being.

Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes.

Our Values underpin everything we do.

• Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do.
• Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe.
• Integrity: Integrity is the heartbeat of Turnitin—it is the core of our products, the way we treat each other, and how we work with our customers and vendors.
• Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it’s hard.
• One Team: We strive to break down silos, collaborate effectively, and celebrate each others’ successes.
• Global Mindset: We consider different perspectives and celebrate diversity. We are one team. The work we do has an impact on the world.

Global Benefits

• Remote First Culture
• Health Care Coverage
• Education Reimbursement*Competitive Paid Time Off
• Self-Care Days
• National Holidays
• 2 Founder Days + Juneteenth Observed
• Paid Volunteer Time Off
• Charitable Contribution Match
• Monthly Wellness or Home Office Reimbursement
• Access to Employee Assistance Program (mental health platform)
• Parental Leave
• Retirement Plan with match/contribution

Seeing Beyond the Job Ad

At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad.  We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and unleash your potential alongside us, join our team!

Turnitin, LLC is an Equal Opportunity Employer- vets/disabled.