Writing.io Jobs

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)

#LI-JB1
#LI-Remote

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

Who are we and why should you join us? BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone....

Data Ideology

At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious.  For more information about Data Ideology, visit www.dataideology.com

Data Governance Analyst

We are seeking a hands-on Data Governance Analyst to operate at the intersection of data governance, analytics, technology, and the business. This is not a policy-only governance role. The ideal candidate will work directly with business and technology stakeholders to understand data, document and improve how it is governed, analyze issues, and turn governance objectives into practical solutions.The right person will be comfortable moving between stakeholder conversations, data definitions, data quality, metadata, SQL-based analysis, reporting, and governance processes.

What Success Looks Like

The successful candidate will help the organization make its data more:

• Trusted
• Understandable
• Consistent
• Accessible to the right people
• Measurable
• Governed in a practical, usable way

They should be able to take an ambiguous data problem, work with stakeholders to understand it, dig into the underlying data where necessary, and drive the issue toward resolution.For more information about Data Ideology, visit www.dataideology.com

Responsibilities

To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily.  Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.  Other duties may be assigned to meet business needs.

• Partner with business, data, technology, and governance stakeholders to identify and address data governance needs.
• Facilitate conversations with data owners and subject-matter experts to establish definitions, ownership, standards, and appropriate usage of data.
• Support development and maintenance of business glossaries, data dictionaries, metadata, data standards, and governance documentation.
• Assist with data quality initiatives by identifying, analyzing, documenting, and helping remediate data issues.
• Perform hands-on data analysis using SQL or similar tools to investigate governance and data-quality questions.
• Analyze datasets to validate business rules, definitions, completeness, consistency, and accuracy.
• Help translate business requirements into measurable data rules and governance requirements.
• Support data access, sharing, and usage-governance processes.
• Build or maintain reporting, dashboards, or metrics that provide visibility into data quality and governance activities.
• Work across teams to improve governance workflows and reduce manual or inefficient processes.
• Communicate findings clearly to both technical and nontechnical stakeholders.
• Help move governance initiatives from discussion and documentation into repeatable operational processes.

Supervisory Responsibilities: None

Qualifications

Education and Experience:

• Bachelor’s degree in Business, Computer Science, Information Systems, or a related field required. Advanced degree preferred.

• Approximately 2–5 years of experience in data governance, data analytics, business/data analysis, or a related discipline.

• Experience working directly with business stakeholders, data owners, technical teams, or senior leadership.

• Strong Plus

• Experience in banking, financial services, or another regulated industry.

• Experience with enterprise data governance or data-quality platforms.

• Familiarity with Informatica or comparable governance/data-quality tooling.

• Experience with cloud data platforms or modern data environments.

• Experience automating data, reporting, or governance workflows.

• Exposure to master data management, customer data, hierarchy management, or enterprise metadata.

• Working knowledge of:

  • Data governance
  • Data quality
  • Metadata and data definitions
  • Data ownership/stewardship
  • Data access and usage

• Hands-on SQL experience and the ability to investigate and analyze data independently.

• Experience with reporting or visualization tools such as Power BI, Tableau, Looker, or similar platforms.

• Ability to translate between business requirements and technical/data concepts.

• Strong written and verbal communication skills.

• Organized, curious, analytical, and comfortable in environments where not every requirement is initially defined.

The strongest candidate will have the technical aptitude to investigate data independently while remaining comfortable working directly with business stakeholders.

Work Environment:

• Remote work from home.
• Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.

Physical Demands:

• Must be able to remain in a stationary position 50% of the time.
• The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
• Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
• The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

Data Ideology is an EEO Employer

The Supplier Consulting Analyst III provides analytical support for healthcare supply chain consulting engagements, including customer onboarding, business process optimization, and solution adoption initiatives. This role collaborates with consulting and cross-functional teams to analyze customer and transactional data, identify improvement opportunities, and deliver actionable insights that support business strategies and operational efficiency.

Principal Duties and Responsibilities:

· Analyze and reconcile customer account data across systems, identifying duplicates, unmatched records, and data quality issues.

· Analyze purchasing activity, transaction volumes, and customer connectivity to support onboarding plans and prioritization.

· Develop and maintain reports and dashboards measuring customer onboarding, transaction acceptance, adoption, utilization, and exceptions.

· Prepare analytical summaries, presentations, and other project deliverables for multiple concurrent engagements.

· Collaborate with internal teams to validate data, investigate discrepancies, and resolve reporting issues.

· Support data analysis and reconciliation for system implementations, integrations, migrations, and business transitions.

· Analyze customer contact and outreach data, including registration progress and communication results.

· Communicate analytical findings to internal stakeholders and present results to customers when appropriate.

· Standardize reporting templates, document analytical methods, and identify opportunities to improve efficiency.

Required Qualifications:

· Bachelor’s degree or equivalent work experience

· 2–4 years of experience in data analysis, business analytics, reporting, or a related field.

· Strong analytical, communication, and presentation skills, with the ability to explain findings to technical and nontechnical audiences.

· Excellent attention to detail, organization, problem-solving, and ability to manage competing priorities.

· Advanced proficiency in Microsoft Excel, including pivot tables, lookups, and data reconciliation.

· Experience analyzing large or complex data sets and identifying actionable insights.

· Ability to work independently, meet deadlines, and collaborate with cross-functional teams.

Preferred Qualifications:

· 2-3 years of experience within the healthcare industry.

· Ability to work with multiple stakeholder groups, including healthcare providers, suppliers, distributors, and group purchasing organizations.

· Familiarity with Software as a Service (SaaS) business models and their application in business operations and process improvement.

· Customer-focused approach.

· Adaptability and flexibility to support multiple projects simultaneously.

· Strong problem-solving skills.

· Knowledge of e-commerce concepts.

· Proficiency with Microsoft Office applications, including Word and PowerPoint.

· Familiarity with data visualization tools such as Tableau or Power BI.

· Familiarity with data analysis and transformation tools such as Python, R, or SQL.

· Willingness to travel up to 30% annually.

Estimated salary range: $74,000 - $98,000

The base salary range represents the anticipated low and high end of the GHX’s salary range for this position. Actual salaries will vary and will be based on various factors, such as candidate’s qualifications, skills, competencies and proficiency for the role. The base salary is one component of GHX’s total compensation package for employees. Other rewards and benefits include: health, vision, and dental insurance, accident and life insurance, 401k matching, paid-time off, and education reimbursement, to name a few. To view more details of our benefits, visit us here: https://www.ghx.com/about/careers/

#LI-Remote #LI-KL

GHX: It’s the way you do business in healthcare

Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes.

GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions.

It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce - not shift - the cost of doing business, paving the way to delivering patient care more effectively. Together we take more than a billion dollars out of the cost of delivering healthcare every year. GHX is privately owned, operates in the United States, Canada and Europe, and employs more than 1000 people worldwide. Our corporate headquarters is in Colorado, with additional offices in Europe.

Disclaimer

Global Healthcare Exchange, LLC and its North American subsidiaries (collectively, “GHX”) provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. All qualified applicants will receive consideration for employment without regard to any status protected by applicable law. This EEO policy applies to all terms, conditions, and privileges of employment, including hiring, training and development, promotion, transfer, compensation, benefits, educational assistance, termination, layoffs, social and recreational programs, and retirement. GHX believes that employees should be provided with a working environment which enables each employee to be productive and to work to the best of his or her ability. We do not condone or tolerate an atmosphere of intimidation or harassment based on race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. GHX expects and requires the cooperation of all employees in maintaining a discrimination and harassment-free atmosphere. Improper interference with the ability of GHX’s employees to perform their expected job duties is absolutely not tolerated.

Read our GHX Privacy Policy

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

**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 Rad AI

At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.

Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.

Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.

Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.

If you’re ready to shape the future of healthcare, we’d love to have you on our team!

About the role

Rad AI is building out embedded analytics inside our reporting platform — giving radiology groups and health systems self-service visibility into their own reporting data: turnaround times, template usage, AI utilization, auto-launch accuracy, and more.

This role sits at the center of that effort: part data engineer, part analyst, part customer-facing partner. You’ll work with customers to understand what they actually need to see, then build the governed data models and dashboards that deliver it correctly, at scale, across customers with very different data volumes, specialties, and reporting patterns.

This is not a back-office reporting job. You’ll work with customer stakeholders (radiology administrators, quality leads, IT/informatics teams), with Product and an embedded analytics partner alongside you, translating ambiguous asks (“we want to see if our new templates are actually helping”) into rigorous, reusable metrics and explaining them when a customer’s data looks stranger than expected.

What you’ll do

• Get the data foundation right. Connect the new data platform to the existing warehouse, troubleshoot and fix data quality issues per customer, and help define the data contract that doesn’t exist yet.

• Gather and translate requirements with customers and internal partners. Join discovery conversations with radiology group administrators, quality/ops leads, and informatics teams to understand what they’re trying to measure and decide, not just what they initially ask for.

• Design and build the semantic layer and dashboards that serve customer requirements: governed metrics, joins, and reusable models that hold up across customers rather than one-off reports per account.

• Apply real statistical rigor to healthcare reporting data. Radiology data is messy and high-stakes: small sample sizes at some sites, outliers from edge-case studies, seasonality, case-mix differences across specialties and facility types. You’ll need to know when a metric needs a confidence interval, a risk-adjustment, or an exclusion note, not just a number.

• Use AI as a core part of your workflow. Direct AI agents to describe, model, and document data relationships, and verify what they produce.

• Own data quality end-to-end for customer-facing outputs: catch and explain anomalies before a customer does, document known caveats (sample-size exclusions, data lag, definitional edge cases) directly in the deliverable.

• Build durable data products, not one-off answers. Use dbt/Snowflake-style modeling practices so a metric built for one customer’s dashboard is reusable for the next, instead of re-derived from scratch each time.

• Partner cross-functionally with Product, Engineering, and Customer Success to prioritize which metrics and dashboards actually move the needle for customers versus which are just “nice to have.”

• Explain data to non-data audiences. You’ll present findings to radiologists, hospital administrators, and executives who are expert clinicians but not data scientists. The ability to make a confidence interval or caveat meaningful to that audience is as important as computing it correctly.

What you’ll bring

• 2–5 years in an analytics engineering, data science, or business/BI analyst role, ideally with some customer- or stakeholder-facing exposure (not purely internal reporting). Hunger and curiosity matter more to us than years.

• Demonstrated AI fluency. Concrete examples from the last six months of how AI tools have meaningfully changed the way you work with data, including how you’ve used them to describe, model, or document datasets and how you check their output.

• Strong SQL — comfortable writing and optimizing complex queries, not just filtering existing tables.

• Working statistics fluency: confidence intervals, significance testing, sample-size considerations, handling outliers and skewed distributions, and the judgment to know when a metric needs a caveat versus when it’s solid.

• Experience with a modern governed BI/semantic layer tool (we use Omni; Looker, Sigma, ThoughtSpot, or similar is great) and a SQL/Python notebook or exploration environment (we use Hex; Mode or similar is fine).

• Comfortable in dbt/Snowflake-style modeling environments: building something once and having it hold up for the next ten customers.

• Direct experience defining or maintaining a semantic layer (entity/metric definitions, joins, governed fields, e.g., LookML, dbt Semantic Layer, or an equivalent governed-BI modeling layer), not just consuming one someone else built.

• Comfort with ambiguity. You’re energized, not rattled, by undefined problems, messy data, and no existing playbook.

• Demonstrated ability to run discovery with external stakeholders: asking good follow-up questions, pushing back on vague asks, and landing on a defensible metric definition.

• Excellent written and verbal communication, able to present data findings to a non-technical, clinical audience without dumbing down the substance.

• Healthcare, health IT, or other regulated-industry data experience is a strong plus (HIPAA awareness, understanding why “it depends on the payer/facility/specialty” is often the right answer).

• Familiarity with radiology-specific concepts (PACS, HL7/FHIR, turnaround time, RVU, template-driven reporting) is a bonus, not a requirement. We’ll teach the domain if the analytical and statistical instincts are there.

Nice to have

• Experience building or maintaining a customer-facing (vs. internal-only) analytics product, i.e., you understand that a dashboard a paying customer sees is held to a different bar than an internal Slack chart.

• Exposure to multi-tenant data governance (row-level security, per-customer data isolation) in an embedded analytics context.

• Prior experience in a company selling into hospitals/health systems, understanding procurement and IT review cycles.

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you’re passionate about driving innovation and delivering impactful healthcare solutions, we’d love to hear from you!

To learn more about what it’s like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn to stay up to date!

Location Details:

For roles listed as San Francisco - Onsite:

• This role will be based in our San Francisco office and we expect employees to work onsite four days per week. The remaining time may be worked remotely or onsite, depending on team and business needs.

For roles listed as United States - Remote:

• This role is open to candidates located anywhere in the United States.

For roles listed as San Francisco - Onsite + United States - Remote:

• We will prioritize candidates who can work onsite four days per week in San Francisco, while also considering remote candidates located anywhere in the United States.

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:

• Comprehensive Medical, Dental, Vision & Life insurance

• HSA (with employer match), FSA, & DCFSA

• 401(k)

• 11 Paid Company Holidays

• Flexible PTO policy

• Annual company-wide offsite

• Periodic team offsites

• Annual equipment stipend

• For roles based outside the US, your recruiter can share more details

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

About Rad AI

At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.

Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.

Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.

Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.

If you’re ready to shape the future of healthcare, we’d love to have you on our team!

About the role

Rad AI is building out embedded analytics inside our reporting platform — giving radiology groups and health systems self-service visibility into their own reporting data: turnaround times, template usage, AI utilization, auto-launch accuracy, and more.

This role sits at the center of that effort: part data engineer, part analyst, part customer-facing partner. You’ll work with customers to understand what they actually need to see, then build the governed data models and dashboards that deliver it correctly, at scale, across customers with very different data volumes, specialties, and reporting patterns.

This is not a back-office reporting job. You’ll work with customer stakeholders (radiology administrators, quality leads, IT/informatics teams), with Product and an embedded analytics partner alongside you, translating ambiguous asks (“we want to see if our new templates are actually helping”) into rigorous, reusable metrics and explaining them when a customer’s data looks stranger than expected.

What you’ll do

• Get the data foundation right. Connect the new data platform to the existing warehouse, troubleshoot and fix data quality issues per customer, and help define the data contract that doesn’t exist yet.

• Gather and translate requirements with customers and internal partners. Join discovery conversations with radiology group administrators, quality/ops leads, and informatics teams to understand what they’re trying to measure and decide, not just what they initially ask for.

• Design and build the semantic layer and dashboards that serve customer requirements: governed metrics, joins, and reusable models that hold up across customers rather than one-off reports per account.

• Apply real statistical rigor to healthcare reporting data. Radiology data is messy and high-stakes: small sample sizes at some sites, outliers from edge-case studies, seasonality, case-mix differences across specialties and facility types. You’ll need to know when a metric needs a confidence interval, a risk-adjustment, or an exclusion note, not just a number.

• Use AI as a core part of your workflow. Direct AI agents to describe, model, and document data relationships, and verify what they produce.

• Own data quality end-to-end for customer-facing outputs: catch and explain anomalies before a customer does, document known caveats (sample-size exclusions, data lag, definitional edge cases) directly in the deliverable.

• Build durable data products, not one-off answers. Use dbt/Snowflake-style modeling practices so a metric built for one customer’s dashboard is reusable for the next, instead of re-derived from scratch each time.

• Partner cross-functionally with Product, Engineering, and Customer Success to prioritize which metrics and dashboards actually move the needle for customers versus which are just “nice to have.”

• Explain data to non-data audiences. You’ll present findings to radiologists, hospital administrators, and executives who are expert clinicians but not data scientists. The ability to make a confidence interval or caveat meaningful to that audience is as important as computing it correctly.

What you’ll bring

• 2–5 years in an analytics engineering, data science, or business/BI analyst role, ideally with some customer- or stakeholder-facing exposure (not purely internal reporting). Hunger and curiosity matter more to us than years.

• Demonstrated AI fluency. Concrete examples from the last six months of how AI tools have meaningfully changed the way you work with data, including how you’ve used them to describe, model, or document datasets and how you check their output.

• Strong SQL — comfortable writing and optimizing complex queries, not just filtering existing tables.

• Working statistics fluency: confidence intervals, significance testing, sample-size considerations, handling outliers and skewed distributions, and the judgment to know when a metric needs a caveat versus when it’s solid.

• Experience with a modern governed BI/semantic layer tool (we use Omni; Looker, Sigma, ThoughtSpot, or similar is great) and a SQL/Python notebook or exploration environment (we use Hex; Mode or similar is fine).

• Comfortable in dbt/Snowflake-style modeling environments: building something once and having it hold up for the next ten customers.

• Direct experience defining or maintaining a semantic layer (entity/metric definitions, joins, governed fields, e.g., LookML, dbt Semantic Layer, or an equivalent governed-BI modeling layer), not just consuming one someone else built.

• Comfort with ambiguity. You’re energized, not rattled, by undefined problems, messy data, and no existing playbook.

• Demonstrated ability to run discovery with external stakeholders: asking good follow-up questions, pushing back on vague asks, and landing on a defensible metric definition.

• Excellent written and verbal communication, able to present data findings to a non-technical, clinical audience without dumbing down the substance.

• Healthcare, health IT, or other regulated-industry data experience is a strong plus (HIPAA awareness, understanding why “it depends on the payer/facility/specialty” is often the right answer).

• Familiarity with radiology-specific concepts (PACS, HL7/FHIR, turnaround time, RVU, template-driven reporting) is a bonus, not a requirement. We’ll teach the domain if the analytical and statistical instincts are there.

Nice to have

• Experience building or maintaining a customer-facing (vs. internal-only) analytics product, i.e., you understand that a dashboard a paying customer sees is held to a different bar than an internal Slack chart.

• Exposure to multi-tenant data governance (row-level security, per-customer data isolation) in an embedded analytics context.

• Prior experience in a company selling into hospitals/health systems, understanding procurement and IT review cycles.

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you’re passionate about driving innovation and delivering impactful healthcare solutions, we’d love to hear from you!

To learn more about what it’s like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn to stay up to date!

Location Details:

For roles listed as San Francisco - Onsite:

• This role will be based in our San Francisco office and we expect employees to work onsite four days per week. The remaining time may be worked remotely or onsite, depending on team and business needs.

For roles listed as United States - Remote:

• This role is open to candidates located anywhere in the United States.

For roles listed as San Francisco - Onsite + United States - Remote:

• We will prioritize candidates who can work onsite four days per week in San Francisco, while also considering remote candidates located anywhere in the United States.

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:

• Comprehensive Medical, Dental, Vision & Life insurance

• HSA (with employer match), FSA, & DCFSA

• 401(k)

• 11 Paid Company Holidays

• Flexible PTO policy

• Annual company-wide offsite

• Periodic team offsites

• Annual equipment stipend

• For roles based outside the US, your recruiter can share more details

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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 Workleap is a Montreal-based tech company, founded in 2006. We’re builders at heart, we make simple products that actually matter to the people who use them. We have...

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.

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters...

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters...

A platform you can believe in: Immersive One is the leading cyber resilience solution across the globe.

Drive operational excellence and define the foundation we build on alongside a team of the brightest minds in cybersecurity! At Immersive, we’re uniquely positioned to future-proof organizations against any cyber challenge. If that excites you, read on!

Immersive is the cyber proving ground for the AI enterprise. Through Immersive One, organizations can test whether people, AI-enabled workflows, cyber security teams, agents, and leaders can perform securely under realistic pressure, then turn that performance into evidence they can use to improve, benchmark, and report readiness.

Trusted by 30%+ of the Fortune 100 and ranked #1 in the Forrester Wave™ 2026, Immersive helps organizations prove AI can be adopted safely, teams can develop and defend at AI speed, leaders can lead through crisis, and AI agents can be validated before they are trusted in live workflows

https://www.immersivelabs.com/why-immersive-labs

Immersive was founded in 2017, from a cargo container in Bristol, UK we’ve grown to over 300 employees globally, announced funding of more than $180 million and been voted a Best place to work on multiple occasions!

https://www.immersivelabs.com/company/our-story

Associate Data Analyst - 12 Month FTC - UK (Remote)

We are looking for a highly detail-oriented and data driven individual to join our Finance team as an Associate Reporting Analyst.

In this position you will play a critical role in supporting various departments by providing accurate, timely data and valuable business insights.

This is an exciting opportunity for you to make a substantial impact on our organisation during this current phase of company growth.

This role would most suit someone with a 3-4 years of experience as it is a mid-level role within the team

Your main responsibilities (we’re scaling fast, so these may change as we grow):

• Design and monitor robust systems for business analysis and data recording, ensuring efficiency and scalability across departments.

• Offer analytical support to GTM (Go-To-Market) departments, including Sales, Marketing, and Customer Success, to help them achieve their targets and objectives.

• Enforce data governance standards and best practices to maintain data integrity.

• Proactively identify opportunities for process improvements and provide data-driven recommendations.

You should apply if you have ​​(we know it’s tough, but please try to avoid the ​​confidence gap​.​​ You don’t have to match all the listed requirements exactly to be considered for this role):

• Solid knowledge of SQL. Ideally, some experience with DBT & Snowflake would be valuable.

• Any prior work experience in a related field is preferred, and familiarity with Salesforce will be given extra consideration.

• Exceptional ability to interpret large amounts of data and analyse it to produce concise reports.

• Strong communication skills, both verbal and written, for translating complex data into understandable insights for non-technical stakeholders.

Immersive’s growth has been fuelled by our values that underpin everything we do, here’s how they relate to this role:

• Driven - We push the boundaries of innovation, acting swiftly to achieve ambitious outcomes. Our drive embodies a culture of ambition, where challenges are stepping stones to excellence.

• Inclusive - Our strength lies in diversity, fostering a culture where every individual contributes to our collective strength. We champion open dialogue and empathy, ensuring a collaborative, inclusive workplace.

• Customer Centric - We seek to develop deep relationships with our customers to help them achieve their business outcomes. We exceed our customers and partners’ expectations by crafting products, services and experiences that surprise, delight and ensure they feel valued and supported every day.

• One Team - We are a talented global team working together to achieve our vision. Central to our ethos, resilience means adapting and thriving in adversity. It guides our innovation, ensuring we and our clients are prepared for the future.

We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work. Excited by the above? We’re ready to receive your application!

As well as an inclusive, supportive place for you to be you. We offer an extensive range of benefits so you can do your very best work:

• Time off, flexible and remote working so you can work when is best for you, includes 25 days annual leave + 2 volunteering days and your birthday off

• The longer you are with Immersive, the more holiday days you get, up to a maximum of 30 days after five years of service

• Look after your family and yourself with enhanced parental leave, mindfulness groups, critical illness cover, 7% matched pension, private healthcare plan and more

• Career and learning development through the platform, a dedicated professional development fund and our ‘Learn Anything’ fund - which enables you to learn anything that’s not work!

• Recognition & Rewards for doing great work and living our values and behaviours

• Informal or formal flexible working options, e.g. flexible start and finish times, reduced hours

• We have a vibrant team culture with team events throughout the year. Our socials have included everything from pottery painting and paper mask making, to dungeons and dragons!

• When you do visit the UK hub, getting there is easy: we’re based in the centre of Bristol, just a 10 minute walk from the train station. We also offer railcard loan and cycle scheme to buy a new bike

Find out more about life at Immersive Labs https://careers.immersivelabs.com

Cyber threats wait for no one and neither should you. Apply now!

If you would like to read more about what you can expect from our recruitment process, you can visit our dedicated interview process page.

A platform you can believe in: Immersive One is the leading cyber resilience solution across the globe.

Drive operational excellence and define the foundation we build on alongside a team of the brightest minds in cybersecurity! At Immersive, we’re uniquely positioned to future-proof organizations against any cyber challenge. If that excites you, read on!

Immersive is the cyber proving ground for the AI enterprise. Through Immersive One, organizations can test whether people, AI-enabled workflows, cyber security teams, agents, and leaders can perform securely under realistic pressure, then turn that performance into evidence they can use to improve, benchmark, and report readiness.

Trusted by 30%+ of the Fortune 100 and ranked #1 in the Forrester Wave™ 2026, Immersive helps organizations prove AI can be adopted safely, teams can develop and defend at AI speed, leaders can lead through crisis, and AI agents can be validated before they are trusted in live workflows

https://www.immersivelabs.com/why-immersive-labs

Immersive was founded in 2017, from a cargo container in Bristol, UK we’ve grown to over 300 employees globally, announced funding of more than $180 million and been voted a Best place to work on multiple occasions!

https://www.immersivelabs.com/company/our-story

Associate Data Analyst - 12 Month FTC - UK (Remote)

We are looking for a highly detail-oriented and data driven individual to join our Finance team as an Associate Reporting Analyst.

In this position you will play a critical role in supporting various departments by providing accurate, timely data and valuable business insights.

This is an exciting opportunity for you to make a substantial impact on our organisation during this current phase of company growth.

This role would most suit someone with a 3-4 years of experience as it is a mid-level role within the team

Your main responsibilities (we’re scaling fast, so these may change as we grow):

• Design and monitor robust systems for business analysis and data recording, ensuring efficiency and scalability across departments.

• Offer analytical support to GTM (Go-To-Market) departments, including Sales, Marketing, and Customer Success, to help them achieve their targets and objectives.

• Enforce data governance standards and best practices to maintain data integrity.

• Proactively identify opportunities for process improvements and provide data-driven recommendations.

You should apply if you have ​​(we know it’s tough, but please try to avoid the ​​confidence gap​.​​ You don’t have to match all the listed requirements exactly to be considered for this role):

• Solid knowledge of SQL. Ideally, some experience with DBT & Snowflake would be valuable.

• Any prior work experience in a related field is preferred, and familiarity with Salesforce will be given extra consideration.

• Exceptional ability to interpret large amounts of data and analyse it to produce concise reports.

• Strong communication skills, both verbal and written, for translating complex data into understandable insights for non-technical stakeholders.

Immersive’s growth has been fuelled by our values that underpin everything we do, here’s how they relate to this role:

• Driven - We push the boundaries of innovation, acting swiftly to achieve ambitious outcomes. Our drive embodies a culture of ambition, where challenges are stepping stones to excellence.

• Inclusive - Our strength lies in diversity, fostering a culture where every individual contributes to our collective strength. We champion open dialogue and empathy, ensuring a collaborative, inclusive workplace.

• Customer Centric - We seek to develop deep relationships with our customers to help them achieve their business outcomes. We exceed our customers and partners’ expectations by crafting products, services and experiences that surprise, delight and ensure they feel valued and supported every day.

• One Team - We are a talented global team working together to achieve our vision. Central to our ethos, resilience means adapting and thriving in adversity. It guides our innovation, ensuring we and our clients are prepared for the future.

We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work. Excited by the above? We’re ready to receive your application!

As well as an inclusive, supportive place for you to be you. We offer an extensive range of benefits so you can do your very best work:

• Time off, flexible and remote working so you can work when is best for you, includes 25 days annual leave + 2 volunteering days and your birthday off

• The longer you are with Immersive, the more holiday days you get, up to a maximum of 30 days after five years of service

• Look after your family and yourself with enhanced parental leave, mindfulness groups, critical illness cover, 7% matched pension, private healthcare plan and more

• Career and learning development through the platform, a dedicated professional development fund and our ‘Learn Anything’ fund - which enables you to learn anything that’s not work!

• Recognition & Rewards for doing great work and living our values and behaviours

• Informal or formal flexible working options, e.g. flexible start and finish times, reduced hours

• We have a vibrant team culture with team events throughout the year. Our socials have included everything from pottery painting and paper mask making, to dungeons and dragons!

• When you do visit the UK hub, getting there is easy: we’re based in the centre of Bristol, just a 10 minute walk from the train station. We also offer railcard loan and cycle scheme to buy a new bike

Find out more about life at Immersive Labs https://careers.immersivelabs.com

Cyber threats wait for no one and neither should you. Apply now!

If you would like to read more about what you can expect from our recruitment process, you can visit our dedicated interview process page.

Headquarters: Denmark
URL: https://baymard.com/

We’re seeking a full-time, remote Market Research Data Analyst for our company.

Baymard Institute conducts large-scale UX research studies, sharing our findings through a bespoke B2B SaaS platform that serves 2,000+ retailer stores, brands, and agencies across 80+ countries — including 71% of Fortune 500 e-commerce companies. We’re fully distributed, with ~60 team members spanning America and Europe, all committed to advancing ecommerce UX.

 

What You’ll Do

As our Market Research Data Analyst, you’ll own quantitative survey studies from initial research and questionnaire design through fieldwork, analysis, and publication.

Our Quant Insights team conducts recurring studies examining how consumers research, evaluate, and purchase products and services online across different industries and focused topics. A typical study takes approximately three months from beginning to end. Once one study is completed, you’ll begin the research cycle again in another industry or topic area.

This means the role combines variety in subject matter with consistency in research methodology. You might spend one study investigating how consumers shop for electronics and the next examining how they book flights, while following a similar end-to-end research process each time. However, a significant part of this role involves repeatedly executing and improving a structured research process.

At the same time, the process itself is not fixed.

Our Quant Insights team is relatively new, and our research program continues to evolve. Team members are encouraged to challenge existing approaches, experiment with better methods, improve our tooling and workflows, and propose changes to how studies are designed or executed.

If you identify a better way to design a questionnaire, analyze our data, automate part of the workflow, structure a study, or even rethink part of our research process, we want you to make the case for it and help us improve it.

 

Your responsibilities will include:

Research & Survey Design

• Conducting desk research to understand an industry, its consumers, and the ecommerce experiences we want to investigate.

• Translating research objectives into clear, testable research questions.

• Designing questionnaires, including question wording, response scales, survey structure, branching, and screening criteria.

• Identifying appropriate respondent audiences, quotas, and sample requirements.

• Reviewing pilot results and refining questionnaires before full fielding.

• Considering potential sources of survey bias, measurement error, and data-quality issues throughout the research process.

 

Survey & Fieldwork Execution

• Programming and QA’ing surveys (we use Alchemer), including logic, quotas, branching, and redirects.

• Coordinating with sample providers on feasibility, targeting, and setup (we use PureSpectrum).

• Monitoring soft launches and active fieldwork.

• Evaluating incoming responses for data-quality issues and determining appropriate cleaning or exclusion criteria.

• Troubleshooting issues independently.

 

Data Analysis & Synthesis

• Cleaning, structuring, and analyzing survey datasets.

• Conducting descriptive and comparative analyses across questions and respondent segments.

• Exploring relationships and meaningful differences within the data while avoiding overinterpretation of results.

• Identifying the most meaningful findings from large survey datasets rather than simply reporting every result.

• Synthesizing findings across multiple questions to develop broader insights into consumer behavior.

• Creating charts and writing analysis takeaways that communicate findings clearly.

• Translating quantitative findings into concise, evidence-based insights relevant to ecommerce UX professionals and decision-makers.

Your role may gradually expand to include new or more complex studies, program management, or strategic initiatives, depending on your interests and Baymard’s needs.

 

Your Daily Tasks

While your exact workload will vary depending on where your current study is in its lifecycle, most of your time will involve activities such as:

• Researching consumer behavior within an industry.

• Designing and refining survey questions.

• Programming and QA’ing surveys.

• Reviewing pilot data and determining what should change before launch.

• Coordinating sampling and monitoring fieldwork.

• Cleaning and preparing survey datasets.

• Analyzing overall results and meaningful respondent segments.

• Investigating interesting or unexpected patterns in the data.

• Determining which findings are meaningful enough to publish.

• Creating charts and synthesizing findings into clearly written research insights.

The remainder of your time may involve team discussions, methodology development, documentation, process improvements, tooling, cross-functional collaboration, or experimentation with new approaches.

 

Who You Are

We’re looking for someone who:

• Enjoys both the design and analytical sides of quantitative research.

• Likes taking ownership of a research project from an initial question through final findings.

• Enjoys working with structured processes and becoming better and more efficient at executing them over time, while offering ideas and initiative to improve and streamline them as needed.

• Is naturally detail-oriented and methodical in their work.

• Is comfortable troubleshooting and resolving field issues independently, but knows when to escalate larger problems for discussion or review

• Communicates clearly and asks precise questions when clarifying requirements.

• Enjoys cross-functional work and being involved in the early stages of a program.

 

What You’ll Need

We’re looking for the following qualifications for this role:

• 2–3+ years of professional experience in quantitative research, market research, survey research, consumer insights, or a closely related field.

• Hands-on experience designing questionnaires and conducting online survey research.

• Experience analyzing survey datasets and synthesizing quantitative findings into meaningful conclusions.

• A solid understanding of survey design fundamentals, including question wording, response scales, questionnaire structure, screening, and common sources of bias.

• Experience working with survey platforms such as Alchemer, Qualtrics, SurveyMonkey, or similar.

• Experience using Excel, Google Sheets, statistical software, or other analytical tools to explore and analyze quantitative data.

• Comfort interpreting percentages, distributions, cross-tabulations, and differences between respondent groups.

• Ability to communicate findings clearly, in writing, to audiences who may not have a research background.

• Strong communication skills and a disciplined, detail-oriented working style.

You’ll be part of our growing Quant Insights team and will work closely with the Research, Product, Engineering, and Commercial Operations teams, making collaboration essential.

 

Practical Details

• Location: This is a remote, full-time position from the UK, Ireland, or the EU. Baymard is a registered employer in the UK, IE, and DK.

• Language: We expect you to be fully proficient in written English. Written English is critical to this role, and you will have to submit your application/cover letter in English.

• Salary: Based on qualifications and country average.

• Start date: As soon as possible.

• Travel: Is limited; expect only 1-2 weeks of travel each year (often only in connection with the company-wide meetup).

• Company: Learn more about Baymard’s work culture and values here. Also, consider reading this article about our Quantitative Insights work.

 

How to Apply

If you’re interested in this position, please apply by sending all of the following documents:

1. A cover letter written in English (PDF format; 1-2 pages) describing how you fit the role and qualifications. (Required.)

2. A CV/resume (PDF format) or a link to your LinkedIn profile. (Required.)

Send the above to quant2026@baymard.com.
(All applications and materials are treated confidentially.)

Deadline is November 15th, 2026 (end of day).

 

Sincerely,
Richard Lam, Quant Insights Lead at Baymard Institute

 

Referral Bonus: If this job isn’t you, but you know someone who’ll be the perfect fit, please send them the link to this page. If we end up hiring the person you referred, we’ll give you 12 months of access to a Baymard Expansion plan (normally $4,200/year).

To apply: https://weworkremotely.com/remote-jobs/baymard-institute-market-research-data-analyst

About the Working Families Party

The Working Families Party (WFP) is the progressive party for the multiracial working class, fighting for a nation that works for the many, not the few. We recruit, train, and support transformational candidates up and down the ballot — and run them to win.

We believe that no matter where we come from or what our color, most of us want the same things. We want to earn enough to thrive, not just survive, and leave a better future for our kids. We want healthy food and clean water, safe neighborhoods and a safe world. We want to be free.

The Working Families Party is regular people coming together across our differences to make a better future for us all. We’re a multiracial party that fights for workers over bosses and people over the powerful. We want an America which realizes the promise – unrealized in our history – of freedom and equality for all.

ABOUT THIS ROLE

The Data Manager at the Working Families Party (WFP) ensures that data tools smoothly supercharge our organizing.

Every tool has a data side and an organizing side: the Data Manager is responsible for the data side of our tools. They work closely with those responsible for the organizing side to maximize our impact on campaigns and as a movement.

Based in the Data Department, this role takes responsibility for the ownership and management of the data systems for WFP’s core organizing software, such as EveryAction, VAN, Votivate, Scale to Win, and Mobilize. This role requires a balance of backend tool administration expertise and frontline stakeholder collaboration skills. They are the primary touchpoint for organizers seeking hands-on data support at the Party.

The Data Manager plays a major role in ensuring data integrity for our single sources of truth in a large, multi-state, highly-coalition-oriented organization. They have lead responsibility for quality assurance and quality checks (QA/QC) of our organizing tool data. The Data Manager will draw upon their deep familiarity with the data structures and quirks – both on the user-interface and data table side – from previous campaigns. This person will leverage their expertise writing SQL queries to frequently access data from our BigQuery data warehouse to pull lists and calculate metrics for organizers.

This is a highly collaborative role. They are responsible for supporting tool adoption and making technical information accessible through training and documentation. They act as a thought partner to organizers and staff to develop effective data organization systems. They conduct training and prepare standards on the data side of tools so that organizers know how to cleanly generate and upload data in our systems.

The Data Manager coordinates with other members of the Data Department; for example, when the Engineering Team needs to create a new sync or data model. The Data Manager proactively engages the Analytics Director and Data Director for prioritization, consults, and progress reporting and bases decisionmaking on wider Party, Department, and Team strategy.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Data Systems Ownership

• Serve as an in-house data expert on organizing tools, including EveryAction, Mobilize, VAN, Votivate, and others. Design and implement approaches to organize data and processes in these systems and take ownership of data maintenance.

• Develop systems, structures, templates, processes, and documentation that organizers can apply in practice to enter, modify, and retrieve data.

• In addition to organizing tools, own Party infrastructure such as WFP’s endorsement and elected official processes and maintain these databases. Ensure that the systems design meets organizational needs, that data processes are clear and understood, that data is collected in a timely manner, and conduct quality assurance and quality checks.

Maintain Data Integrity

• Ensure that our data systems serve as single sources of truth for our organizing work by maintaining clean, accurate, and well-documented data.

• Develop quality assurance processes to ensure that data generation is standardized across our suite of voter contact tools.

• Continuously conduct quality checks and standardize data to ensure datasets are a high-fidelity, usable reflection of reality.

• Audit organizing tools regularly to ensure proper permissioning and that data protocols (e.g., naming conventions) are being used across the organization.

Data Support

• Serve as one of the main points of contact for data needs across the organization, responding to requests from organizers, fundraisers, and all Divisions through the Data Department’s ticketing system.

• Troubleshoot organizers’ data challenges with organizing tools, including those around permissions, bulk uploading, etc.

• Train and support organizers on the data aspects of tool use: the mechanics of using the tools and our processes and structures for ensuring clean, usable data. Coordinate with other teams to support advanced training.

• Supporting organizers by setting up API integrations between tools (e.g., VAN and Scale to Win).

• Provide additional capacity to enter, modify, and retrieve data to organizers.

• Work closely with organizers to resolve data issues, identify tool gaps, and implement improvements that streamline program work.

Data Requests and Reporting

• Write accurate, efficient SQL queries in accordance with WFP DATA Department best practices in order to answer a range of inquiries and questions about our data spanning multiple programmatic areas.

• Provide data visualizations and reporting that delivers actionable insight into WFP’s electoral and member organizing.

SKILLS AND QUALIFICATIONS

• At least 2 years of experience working for candidate campaigns and movement organizations in data and organizer roles

• Experience and deep familiarity administrating electoral software tools (e.g., VAN, EveryAction, Mobilize, Scale to Win).

• Facility with SQL and BigQuery in political contexts.

• Experience using Google Sheets and/or Airtable in advanced organizing contexts.

• Deep familiarity with at least one and ideally multiple national voterfile products (TargetSmart, Catalist, L2), including scores.

• Experience with using Google Data Studio, Hex, or other platforms for data visualization and reporting.

• Experience self-organizing data projects from beginning to end: scoping, design, gathering input, implementation, maintenance, and improvement.

• Facility with analytical reasoning to troubleshoot both technical and stakeholder problems. Ability to recognize patterns and are careful to check assumptions–whether they are your own or someone else’s.

• Excellent attention to detail and a keen eye for design.

• Confident in their ability to design and implement a system that addresses the needs of multiple stakeholders.

• Experience in a fast-paced, stakeholder-support role (tickets, requests).

$64,900 - $109,000 a year

The final salary offer will fall into one of the following ranges depending on where you live:

• National Market (most locations): $64,900 - $91,800

• High Market (e.g., Baltimore, Los Angeles, Portland): $75,900 - $100,400

• Very High Market (San Francisco): $82,400 - $109,000

The locations listed above are just examples and not an exhaustive list.

Salary & Compensation: The final salary will be determined based on an internal equitable scale that takes into consideration years of experience, geographic location, and final job description. The upper end of the salary range is reserved for individuals who significantly exceed the minimum qualifications and years of experience.

We also offer a robust benefit package for full time employees including paid time off; health, dental, vision, and life insurance; flexible spending accounts; retirement plan options; professional development funding; and remote work support.

Unit positions: WFP is a unionized workplace. This is a bargaining unit position. WFP union employees are represented by Workers United affiliated with SEIU and the affiliated Local 1115, Workers United.

Applicants must be currently authorized to work for any employer in the U.S. We are unable to sponsor, or take over sponsorship of, employment visas at this time.

Diversity, Equity, and Inclusion

Working Families Party is an equal opportunity employer with a commitment to economic and social justice. Women, people of color, LGBTQ people, people with disabilities, and members of other historically disenfranchised populations are strongly encouraged to apply. Any applicant who requires an accommodation in order to apply for or perform the essential functions of the job should contact us at [email protected] with the subject line “Application Accommodation” to request such an accommodation.

About the Working Families Party

The Working Families Party (WFP) is the progressive party for the multiracial working class, fighting for a nation that works for the many, not the few. We recruit, train, and support transformational candidates up and down the ballot — and run them to win.

We believe that no matter where we come from or what our color, most of us want the same things. We want to earn enough to thrive, not just survive, and leave a better future for our kids. We want healthy food and clean water, safe neighborhoods and a safe world. We want to be free.

The Working Families Party is regular people coming together across our differences to make a better future for us all. We’re a multiracial party that fights for workers over bosses and people over the powerful. We want an America which realizes the promise – unrealized in our history – of freedom and equality for all.

ABOUT THIS ROLE

The Data Manager at the Working Families Party (WFP) ensures that data tools smoothly supercharge our organizing.

Every tool has a data side and an organizing side: the Data Manager is responsible for the data side of our tools. They work closely with those responsible for the organizing side to maximize our impact on campaigns and as a movement.

Based in the Data Department, this role takes responsibility for the ownership and management of the data systems for WFP’s core organizing software, such as EveryAction, VAN, Votivate, Scale to Win, and Mobilize. This role requires a balance of backend tool administration expertise and frontline stakeholder collaboration skills. They are the primary touchpoint for organizers seeking hands-on data support at the Party.

The Data Manager plays a major role in ensuring data integrity for our single sources of truth in a large, multi-state, highly-coalition-oriented organization. They have lead responsibility for quality assurance and quality checks (QA/QC) of our organizing tool data. The Data Manager will draw upon their deep familiarity with the data structures and quirks – both on the user-interface and data table side – from previous campaigns. This person will leverage their expertise writing SQL queries to frequently access data from our BigQuery data warehouse to pull lists and calculate metrics for organizers.

This is a highly collaborative role. They are responsible for supporting tool adoption and making technical information accessible through training and documentation. They act as a thought partner to organizers and staff to develop effective data organization systems. They conduct training and prepare standards on the data side of tools so that organizers know how to cleanly generate and upload data in our systems.

The Data Manager coordinates with other members of the Data Department; for example, when the Engineering Team needs to create a new sync or data model. The Data Manager proactively engages the Analytics Director and Data Director for prioritization, consults, and progress reporting and bases decisionmaking on wider Party, Department, and Team strategy.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Data Systems Ownership

• Serve as an in-house data expert on organizing tools, including EveryAction, Mobilize, VAN, Votivate, and others. Design and implement approaches to organize data and processes in these systems and take ownership of data maintenance.

• Develop systems, structures, templates, processes, and documentation that organizers can apply in practice to enter, modify, and retrieve data.

• In addition to organizing tools, own Party infrastructure such as WFP’s endorsement and elected official processes and maintain these databases. Ensure that the systems design meets organizational needs, that data processes are clear and understood, that data is collected in a timely manner, and conduct quality assurance and quality checks.

Maintain Data Integrity

• Ensure that our data systems serve as single sources of truth for our organizing work by maintaining clean, accurate, and well-documented data.

• Develop quality assurance processes to ensure that data generation is standardized across our suite of voter contact tools.

• Continuously conduct quality checks and standardize data to ensure datasets are a high-fidelity, usable reflection of reality.

• Audit organizing tools regularly to ensure proper permissioning and that data protocols (e.g., naming conventions) are being used across the organization.

Data Support

• Serve as one of the main points of contact for data needs across the organization, responding to requests from organizers, fundraisers, and all Divisions through the Data Department’s ticketing system.

• Troubleshoot organizers’ data challenges with organizing tools, including those around permissions, bulk uploading, etc.

• Train and support organizers on the data aspects of tool use: the mechanics of using the tools and our processes and structures for ensuring clean, usable data. Coordinate with other teams to support advanced training.

• Supporting organizers by setting up API integrations between tools (e.g., VAN and Scale to Win).

• Provide additional capacity to enter, modify, and retrieve data to organizers.

• Work closely with organizers to resolve data issues, identify tool gaps, and implement improvements that streamline program work.

Data Requests and Reporting

• Write accurate, efficient SQL queries in accordance with WFP DATA Department best practices in order to answer a range of inquiries and questions about our data spanning multiple programmatic areas.

• Provide data visualizations and reporting that delivers actionable insight into WFP’s electoral and member organizing.

SKILLS AND QUALIFICATIONS

• At least 2 years of experience working for candidate campaigns and movement organizations in data and organizer roles

• Experience and deep familiarity administrating electoral software tools (e.g., VAN, EveryAction, Mobilize, Scale to Win).

• Facility with SQL and BigQuery in political contexts.

• Experience using Google Sheets and/or Airtable in advanced organizing contexts.

• Deep familiarity with at least one and ideally multiple national voterfile products (TargetSmart, Catalist, L2), including scores.

• Experience with using Google Data Studio, Hex, or other platforms for data visualization and reporting.

• Experience self-organizing data projects from beginning to end: scoping, design, gathering input, implementation, maintenance, and improvement.

• Facility with analytical reasoning to troubleshoot both technical and stakeholder problems. Ability to recognize patterns and are careful to check assumptions–whether they are your own or someone else’s.

• Excellent attention to detail and a keen eye for design.

• Confident in their ability to design and implement a system that addresses the needs of multiple stakeholders.

• Experience in a fast-paced, stakeholder-support role (tickets, requests).

$64,900 - $109,000 a year

The final salary offer will fall into one of the following ranges depending on where you live:

• National Market (most locations): $64,900 - $91,800

• High Market (e.g., Baltimore, Los Angeles, Portland): $75,900 - $100,400

• Very High Market (San Francisco): $82,400 - $109,000

The locations listed above are just examples and not an exhaustive list.

Salary & Compensation: The final salary will be determined based on an internal equitable scale that takes into consideration years of experience, geographic location, and final job description. The upper end of the salary range is reserved for individuals who significantly exceed the minimum qualifications and years of experience.

We also offer a robust benefit package for full time employees including paid time off; health, dental, vision, and life insurance; flexible spending accounts; retirement plan options; professional development funding; and remote work support.

Unit positions: WFP is a unionized workplace. This is a bargaining unit position. WFP union employees are represented by Workers United affiliated with SEIU and the affiliated Local 1115, Workers United.

Applicants must be currently authorized to work for any employer in the U.S. We are unable to sponsor, or take over sponsorship of, employment visas at this time.

Diversity, Equity, and Inclusion

Working Families Party is an equal opportunity employer with a commitment to economic and social justice. Women, people of color, LGBTQ people, people with disabilities, and members of other historically disenfranchised populations are strongly encouraged to apply. Any applicant who requires an accommodation in order to apply for or perform the essential functions of the job should contact us at [email protected] with the subject line “Application Accommodation” to request such an accommodation.