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About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the...

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

About Tendo Make an impact—join our team!

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

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

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

Responsibilities

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

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

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

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

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

Requirements

Education (one of the following):

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

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

• Equivalent work experience with a portfolio of relevant analytic projects

Experience:

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

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

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

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

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

Core Competencies:

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

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

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

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

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

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

Nice to Have

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

• Six Sigma or Lean certification

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

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

• Familiarity with Jupyter Notebook and collaborative analytics workflows

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

• Experience with Smartsheet or similar project management tools

  • Tableau/Google Data Studio/Plotly/Dash.

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

  • AWS/GCP/Azure, etc.

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

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

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

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

#LI-Remote

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

About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the...

At Tectu, you can make a real impact! As a Data & BI Analyst you will play a lead role in delivering data and business strategies, solutions and processes to support the data oriented projects.

About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the...

About Stitch Fix, Inc.

Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours.  We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.

About the Role

Stitch Fix is redefining retail by blending the art of fashion with the science of machine learning. The Foundational Models team builds and evolves the machine learning systems that power personalization and recommendations across Stitch Fix. The team owns foundational capabilities—including client and item representations, recommendation and retrieval systems, and core models such as the Client Time Series Model (CTSM)—that are leveraged across multiple client experiences and downstream applications. We foster a culture of ownership where Data Scientists manage the full lifecycle of their work. As a Senior Full-Stack Data Scientist, you will work across the full machine learning lifecycle: identifying opportunities, developing and evaluating new modeling approaches, running large-scale experiments, and deploying and operating models in production. You will tackle technically challenging problems in personalization and recommendation systems, working with large-scale behavioral, transactional, textual, and visual data.

This is a highly collaborative and hands-on role. You will partner with Data Scientists, ML Engineers, Product, and other technical teams to translate research and emerging ML techniques into reliable systems that create measurable client and business impact.

Responsibilities:

• Design, develop, evaluate, and productionize machine learning models that improve Stitch Fix’s personalization and recommendation systems.
• Advance foundational modeling capabilities, including client and item representations, embeddings, retrieval, ranking, recommendation models, and assortment generation.
• Explore and apply LLMs and machine learning techniques—including deep learning, representation learning, multimodal modeling, and generative approaches—where they can meaningfully improve our systems.
• Own work across the full ML lifecycle, from problem formulation and data exploration through modeling, experimentation, deployment, monitoring, and iteration.
• Design rigorous offline evaluations and online experiments to understand model performance, measure client and business impact, and communicate results to stakeholders and leadership.
• Work with large-scale behavioral and product datasets using Python, SQL, and distributed data-processing tools.
• Build production-quality ML solutions with attention to scalability, reliability, latency, observability, and cost.
• Collaborate with Product, Engineering, and other Data Science teams to understand downstream needs and translate them into reusable foundational ML capabilities.
• Contribute to the technical direction of the Foundational Models team through design discussions, code reviews, research, prototyping, and development of engineering and modeling best practices.
• Communicate complex technical concepts, modeling approaches, and tradeoffs, and recommendations clearly to both technical and non-technical partners.
• Mentor and collaborate with other Data Scientists and engineers, helping raise the technical bar across the team.

About You

This is what you’ll need to succeed in this role from day 1.

Requirements:

• Bachelor’s Degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related field required. Master’s Degree or PhD preferred.
• 8+ years of experience in design and deployment of machine learning solutions, ideally in personalization, such as recommendation systems, representation learning, or search.
• Strong ability to architect technical solutions and write production-grade code in Python.
• Ability to independently drive ambiguous machine learning problems from initial exploration and prototyping through production deployment, monitoring, iteration, and measurable impact.
• Experience working with large-scale datasets using SQL and distributed data-processing technologies such as Spark.
• Experience with modern deep-learning frameworks such as PyTorch or TensorFlow.
• Strong understanding of model evaluation and experimentation, including offline evaluation, A/B testing, and translating model improvements into measurable product or business outcomes.
• Ability to reason about the tradeoffs involved in production ML systems, including model quality, latency, scalability, reliability, and computational cost.
• Strong communication and collaboration skills, with the ability to influence technical decisions and communicate complex concepts effectively to both technical and non-technical stakeholders.
• Intellectual curiosity and a demonstrated ability to learn and apply new machine learning techniques to practical problems.

Why You’ll Love Working at Stitch Fix

• We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
• We cultivate a community of diverse perspectives—all voices are heard and valued.
• We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail.
• We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
• We boldly create the future while keeping equity and sustainability at the center of all that we do.
• We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
• We offer comprehensive compensation packages and inclusive health and wellness benefits.

Compensation and Benefits

This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.

Salary Range

$200,000—$237,000 USD

This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.

Please review Stitch Fix’s US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policy

Recruiting Fraud Alert:

To all candidates: your personal information and online safety are top of mind for us.  At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.

Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com.

Job Description

Feel Good Investing starts with great decisions, and as a Lead Business Analyst at AJ Bell, you’ll help shape many of them . You’ll work closely with senior leaders across the business to drive strategic change, improve customer experiences and identify opportunities that support our continued growth. Your insight and leadership will help us deliver innovative solutions that make investing easier, more accessible and more rewarding for hundreds of thousands of customers.

Job Responsibilities

• Work with executive stakeholders to determine the contribution that business and IT improvements can make to achieving business objectives; defining strategies, agreeing and prioritising business requirements, conducting feasibility studies, producing both organisational-level and detailed business models, and overseeing the definition and implementation of holistic solutions.

• Responsibility for the business analysis service provision for an organisation or business unit, where advice given and decisions made will have a measurable impact on the profitability or effectiveness of the organisation. Determining the value proposition for the business analysis function.

• Recognise opportunities for the business from organisational and technological change and define change initiatives that will exploit such opportunities.

• Advise and influence executive management throughout the business change lifecycle, ensuring that change initiatives are aligned with the strategy and enterprise architecture.

• Writing and presenting fluently and persuasively on all aspects of business analysis work will be a core skill of yours, while communicating effectively with executives and staff at all levels

• Manage the day-to-day tasks of the team to support timely and high-quality delivery in accordance with the agreed practices and methodology

• Remove blockers to delivery or escalate for resolution where appropriate

• Liaise with external suppliers on deliverables

• Support production incidents as appropriate

• Conduct performance reviews acknowledging achievements and areas for development and improvement

Your Skills and Competencies

• Agile working. You can coach and lead teams in Agile and Lean practices, determining the right approach for the team to take and evaluating this through the life of a project. You can think of new and innovative ways of working to achieve the right outcomes. You can act as a recognised expert and advocate for the approaches, continuously reflecting and challenging the team.
• Business analysis. You can set the direction for business analysis within a programme of work, enterprise or wider sector. You can guide tactical decision making and influence the formulation of longer-term strategic plans in an evolving, complex and unpredictable environment. You can give colleagues the means and authority to make decisions about their approach to business analysis activities. You can ensure that the proposed solutions align with the organisational strategy and vision.
• Business modelling. You can set the direction of scope and methodology for the representation of real world complex situations across a programme or organisation
• Consultancy (business analysis). You can provide advice, guidance and recommendations based on your specialist knowledge and experience. You can propose methodologies to follow and approaches to implementation. You can frame problems so they can easily be understood, and troubleshoot where required, to support the business in operating more effectively
• Enterprise and business architecture (business analyst). You can work with limited direction to translate business drivers, goals and constraints into business objectives. You can help to define required capabilities and support organisational changes to create operating models that meet business objectives.
• Requirements definition and management. You can direct the approach to requirements management. You can enable others to select and apply appropriate life cycle methods. You can influence the prioritisation of complex requirement sets, enabling long-term strategic decision making and short-term tactical fixes. You can ensure the proposed solutions align with the organisational strategy and vision. (Skill level: expert)
• Stakeholder relationship management (business analysis). You can develop engagement strategies and lead on communication with stakeholders at all levels. You can actively establish relationships and apply the benefits of professional networks. You can act as a point of consultation and escalation to resolve conflict in complex situations.
• Systems analysis. You can set the direction for the identification and analysis of IT system capabilities. You can identify gaps in functionality and enable others to explore and assess the effect of software changes. You can demonstrate a strong understanding of business perspectives and technical concepts, and can bring them together to form recommendations and a common understanding. You can communicate this effectively between users, development teams and external suppliers.
• Testing (business analysis). You can recommend the value of testing and apply the relevant tools and techniques to ensure test validity.
• User experience analysis. You can advise on the approach to analysis, prioritisation and validation of user experience needs. You can recommend a range of techniques to analyse the user experience and ensure that it meets business and user needs.

About AJ Bell

At AJ Bell, we believe investing should feel good. Whether you’re looking for an ISA, pension, or dealing account, whether you want to invest with the help of a financial adviser or do it yourself, we have easy-to-use solutions to suit people from all walks of life.

We’re one of the UK’s fastest-growing investment platform businesses, trusted by everyone from professional financial advisers to first-time investors.

Today, over 762,000 customers trust us to manage more than £121.5 billion of assets. By continually striving to make investing simpler and more accessible, we’re helping more people take control of their financial futures.

Customer insight plays an important role in that ambition. By understanding what customers need and using evidence to improve how we communicate with them, we can create experiences that are more relevant, useful and effective.

We’re proud to be recognised as a Great Place to Work® for the past two years, building on six consecutive years as one of the UK’s Best 100 Companies to Work For. It’s recognition we’re proud of and a reflection of the supportive and collaborative culture we strive to create for our people.

What we offer

• 27 days holiday, increasing with service + buy/sell scheme + bank holidays
• 8% Pension with matched contributions
• Discretionary bonus scheme
• Share schemes (including free shares and BAYE)
• Health Cash Plan and discounted private healthcare
• Free gym
• Enhanced family leave (subject to qualifying criteria)
• Travel and bike loan schemes
• Employee Assistance Programme

Life at AJ Bell

• Regular social events including summer and Christmas parties
• Learning and development opportunities tailored to you
• Casual dress code
• Friendly, supportive team environment

Our ways of working

We offer hybrid working, with a minimum of 60% of your working time per month spent in the office. This role is based in our Salford Quays Office.

For new starters, there is an initial period of full-time office working to help you settle in and build relationships.

Inclusion & diversity

We’re committed to creating an inclusive environment where everyone feels respected and able to be themselves at work.

We welcome applications from all backgrounds and make hiring decisions based on skills, experience, and potential.

Job Description

Feel Good Investing starts with great decisions, and as a Lead Business Analyst at AJ Bell, you’ll help shape many of them . You’ll work closely with senior leaders across the business to drive strategic change, improve customer experiences and identify opportunities that support our continued growth. Your insight and leadership will help us deliver innovative solutions that make investing easier, more accessible and more rewarding for hundreds of thousands of customers.

Job Responsibilities

• Work with executive stakeholders to determine the contribution that business and IT improvements can make to achieving business objectives; defining strategies, agreeing and prioritising business requirements, conducting feasibility studies, producing both organisational-level and detailed business models, and overseeing the definition and implementation of holistic solutions.

• Responsibility for the business analysis service provision for an organisation or business unit, where advice given and decisions made will have a measurable impact on the profitability or effectiveness of the organisation. Determining the value proposition for the business analysis function.

• Recognise opportunities for the business from organisational and technological change and define change initiatives that will exploit such opportunities.

• Advise and influence executive management throughout the business change lifecycle, ensuring that change initiatives are aligned with the strategy and enterprise architecture.

• Writing and presenting fluently and persuasively on all aspects of business analysis work will be a core skill of yours, while communicating effectively with executives and staff at all levels

• Manage the day-to-day tasks of the team to support timely and high-quality delivery in accordance with the agreed practices and methodology

• Remove blockers to delivery or escalate for resolution where appropriate

• Liaise with external suppliers on deliverables

• Support production incidents as appropriate

• Conduct performance reviews acknowledging achievements and areas for development and improvement

Your Skills and Competencies

• Agile working. You can coach and lead teams in Agile and Lean practices, determining the right approach for the team to take and evaluating this through the life of a project. You can think of new and innovative ways of working to achieve the right outcomes. You can act as a recognised expert and advocate for the approaches, continuously reflecting and challenging the team.
• Business analysis. You can set the direction for business analysis within a programme of work, enterprise or wider sector. You can guide tactical decision making and influence the formulation of longer-term strategic plans in an evolving, complex and unpredictable environment. You can give colleagues the means and authority to make decisions about their approach to business analysis activities. You can ensure that the proposed solutions align with the organisational strategy and vision.
• Business modelling. You can set the direction of scope and methodology for the representation of real world complex situations across a programme or organisation
• Consultancy (business analysis). You can provide advice, guidance and recommendations based on your specialist knowledge and experience. You can propose methodologies to follow and approaches to implementation. You can frame problems so they can easily be understood, and troubleshoot where required, to support the business in operating more effectively
• Enterprise and business architecture (business analyst). You can work with limited direction to translate business drivers, goals and constraints into business objectives. You can help to define required capabilities and support organisational changes to create operating models that meet business objectives.
• Requirements definition and management. You can direct the approach to requirements management. You can enable others to select and apply appropriate life cycle methods. You can influence the prioritisation of complex requirement sets, enabling long-term strategic decision making and short-term tactical fixes. You can ensure the proposed solutions align with the organisational strategy and vision. (Skill level: expert)
• Stakeholder relationship management (business analysis). You can develop engagement strategies and lead on communication with stakeholders at all levels. You can actively establish relationships and apply the benefits of professional networks. You can act as a point of consultation and escalation to resolve conflict in complex situations.
• Systems analysis. You can set the direction for the identification and analysis of IT system capabilities. You can identify gaps in functionality and enable others to explore and assess the effect of software changes. You can demonstrate a strong understanding of business perspectives and technical concepts, and can bring them together to form recommendations and a common understanding. You can communicate this effectively between users, development teams and external suppliers.
• Testing (business analysis). You can recommend the value of testing and apply the relevant tools and techniques to ensure test validity.
• User experience analysis. You can advise on the approach to analysis, prioritisation and validation of user experience needs. You can recommend a range of techniques to analyse the user experience and ensure that it meets business and user needs.

About AJ Bell

At AJ Bell, we believe investing should feel good. Whether you’re looking for an ISA, pension, or dealing account, whether you want to invest with the help of a financial adviser or do it yourself, we have easy-to-use solutions to suit people from all walks of life.

We’re one of the UK’s fastest-growing investment platform businesses, trusted by everyone from professional financial advisers to first-time investors.

Today, over 762,000 customers trust us to manage more than £121.5 billion of assets. By continually striving to make investing simpler and more accessible, we’re helping more people take control of their financial futures.

Customer insight plays an important role in that ambition. By understanding what customers need and using evidence to improve how we communicate with them, we can create experiences that are more relevant, useful and effective.

We’re proud to be recognised as a Great Place to Work® for the past two years, building on six consecutive years as one of the UK’s Best 100 Companies to Work For. It’s recognition we’re proud of and a reflection of the supportive and collaborative culture we strive to create for our people.

What we offer

• 27 days holiday, increasing with service + buy/sell scheme + bank holidays
• 8% Pension with matched contributions
• Discretionary bonus scheme
• Share schemes (including free shares and BAYE)
• Health Cash Plan and discounted private healthcare
• Free gym
• Enhanced family leave (subject to qualifying criteria)
• Travel and bike loan schemes
• Employee Assistance Programme

Life at AJ Bell

• Regular social events including summer and Christmas parties
• Learning and development opportunities tailored to you
• Casual dress code
• Friendly, supportive team environment

Our ways of working

We offer hybrid working, with a minimum of 60% of your working time per month spent in the office. This role is based in our Salford Quays Office.

For new starters, there is an initial period of full-time office working to help you settle in and build relationships.

Inclusion & diversity

We’re committed to creating an inclusive environment where everyone feels respected and able to be themselves at work.

We welcome applications from all backgrounds and make hiring decisions based on skills, experience, and potential.

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our...

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our...

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our...

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our...

A quick run-down of the job

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

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

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

What you’ll do

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

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

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

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

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

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

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

What makes a good candidate

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

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

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

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

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

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

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

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

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

Nice to have

• Python

• dbt and dimensional modelling

• Semantic layer design and metric definition management

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

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

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

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

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

Company culture

• Embracing the differences

  • Embrace your own differences

  • Respect and welcome the unique qualities of others

  • See others’ differences as an opportunity to grow

• Own it, do it

  • Own tasks end-to-end

  • Hold yourself to a high bar for execution

  • Make bold decisions, and be accountable

  • Understand your limitations and seek for help

• Fail forward

  • Try - don’t be afraid to fail

  • Learn - don’t make the same mistake twice

  • Adapt - grow with the experience

• Have fun together

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

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

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

What you’ll get

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

• 30 days of PTO

• Flexible remote days

• Flexible working hours

• Equity participation from day 1

• Entitlement to work computer (choice of equipment)

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

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

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

Application process

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

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

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

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

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...

The Cognizant Workday Practice is seeking a Principal Data Consultant experienced in Workday Human Capital Management or Financial Management.

Sidecar Health is redefining health insurance. Our mission is to make excellent healthcare affordable and accessible for everyone. We know that to accomplish this lofty mission, we need driven people who will make things happen.

The passionate people who make up Sidecar Health’s team come from all over, with backgrounds as tech leaders, policy makers, healthcare professionals, and beyond. And they all have one thing in common—the desire to fix a broken system and make it more personalized, affordable, and transparent.

If you want to use your talents to transform healthcare in the United States, come join us!

About the Role

Sidecar Health’s Business Analytics team is looking for a Staff Data Analytics Engineer to build the data foundation our product teams rely on. You’ll embed with Product and own the path from raw data to a metric people trust: designing data models, building pipelines when needed, defining the metrics that show whether product work is succeeding, and closing gaps in the data we collect. You’ll work in a Snowflake-first stack and use AI tools like Claude and Snowflake Cortex to move faster, with the judgment to validate what they produce. Our data environment is complex but modest in volume, with limited history, so you can shape the data model early. We operate in a regulated healthcare setting where privacy and compliance are built into how we work.

This is an individual contributor role reporting to the Senior Director, Business Analytics. It is a remote position but candidates must be based in California, Oregon, Washington, Utah, or Texas.

What You’ll Do

• Design, build, and maintain dbt models and semantic models in Snowflake that give product teams a reliable, well-documented view of key metrics
• Build the pipelines behind those models when needed, from ingestion through transformation, and align with data engineering on shared infrastructure and standards
• Build AI-ready data: semantic models, metric definitions, and documentation that let Cortex and CoWork agents answer business questions accurately
• Guide data design decisions with Product and Engineering, including what data gets captured, how it’s structured, and how it’s modeled, so we can measure results from day one
• Partner with product managers to turn roadmap goals and feature hypotheses into measurable success metrics
• Identify gaps in data collection and drive them to resolution with Product and Engineering
• Provide analysis to inform product decisions and evaluate feature performance, including occasional statistical work such as experiment readouts and significance testing
• Use AI coding tools and Snowflake Cortex to speed up development, and review, test, and validate AI-generated code and outputs before they ship
• Build compliance into your designs, including HIPAA considerations and role-based and row-level access controls
• Review SQL, dbt, and AI-generated code for correctness, not just style, and raise the technical standard for the team
• Document models, metric definitions, and design decisions so others can build on them

What You Bring

• 6+ years of experience in analytics or data engineering (or a closely related role), building and maintaining data models and pipelines
• Bachelor’s Degree in Computer Science, Mathematics, Statistics, Economics, a related technical field, or equivalent professional experience
• Strong SQL and dbt skills, including incremental models and testing
• Hands-on Snowflake experience, including semantic modeling
• Commitment to data quality, with experience building tests and monitoring that catch issues before stakeholders do
• Experience working with product teams, ideally technical ones, to define metrics and scope ambiguous problems
• Fluency with AI coding tools like Claude, with the judgment to use, build, and validate AI-generated code
• Comfort working in a regulated environment with privacy and compliance requirements
• The ownership and end-to-end thinking to see a problem from raw data to a metric someone trusts
• Strong communication skills with technical and non-technical partners

Nice to Have

• Snowflake Cortex, CoWork agents, or other LLM-based tooling
• Working knowledge of statistics and experimentation
• Healthcare, claims, or insurance background; HIPAA familiarity
• Python for pipelines or lightweight applications
• Fivetran or other ELT experience, including troubleshooting sync and CDC issues
• Tableau or other BI tools

What You’ll Get

• Competitive salary, bonus opportunity, and equity package
• Comprehensive Medical, Dental, and Vision benefits
• A 401k retirement plan
• Paid vacation and company holidays
• Opportunity to make an impact at a rapidly growing mission-driven company transforming healthcare in the U.S.

Sidecar Health is an Equal Opportunity employer committed to building a diverse team. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Sidecar Health is redefining health insurance. Our mission is to make excellent healthcare affordable and accessible for everyone. We know that to accomplish this lofty mission, we need driven people who will make things happen.

The passionate people who make up Sidecar Health’s team come from all over, with backgrounds as tech leaders, policy makers, healthcare professionals, and beyond. And they all have one thing in common—the desire to fix a broken system and make it more personalized, affordable, and transparent.

If you want to use your talents to transform healthcare in the United States, come join us!

About the Role

Sidecar Health’s Business Analytics team is looking for a Staff Data Analytics Engineer to build the data foundation our product teams rely on. You’ll embed with Product and own the path from raw data to a metric people trust: designing data models, building pipelines when needed, defining the metrics that show whether product work is succeeding, and closing gaps in the data we collect. You’ll work in a Snowflake-first stack and use AI tools like Claude and Snowflake Cortex to move faster, with the judgment to validate what they produce. Our data environment is complex but modest in volume, with limited history, so you can shape the data model early. We operate in a regulated healthcare setting where privacy and compliance are built into how we work.

This is an individual contributor role reporting to the Senior Director, Business Analytics. It is a remote position but candidates must be based in California, Oregon, Washington, Utah, or Texas.

What You’ll Do

• Design, build, and maintain dbt models and semantic models in Snowflake that give product teams a reliable, well-documented view of key metrics
• Build the pipelines behind those models when needed, from ingestion through transformation, and align with data engineering on shared infrastructure and standards
• Build AI-ready data: semantic models, metric definitions, and documentation that let Cortex and CoWork agents answer business questions accurately
• Guide data design decisions with Product and Engineering, including what data gets captured, how it’s structured, and how it’s modeled, so we can measure results from day one
• Partner with product managers to turn roadmap goals and feature hypotheses into measurable success metrics
• Identify gaps in data collection and drive them to resolution with Product and Engineering
• Provide analysis to inform product decisions and evaluate feature performance, including occasional statistical work such as experiment readouts and significance testing
• Use AI coding tools and Snowflake Cortex to speed up development, and review, test, and validate AI-generated code and outputs before they ship
• Build compliance into your designs, including HIPAA considerations and role-based and row-level access controls
• Review SQL, dbt, and AI-generated code for correctness, not just style, and raise the technical standard for the team
• Document models, metric definitions, and design decisions so others can build on them

What You Bring

• 6+ years of experience in analytics or data engineering (or a closely related role), building and maintaining data models and pipelines
• Bachelor’s Degree in Computer Science, Mathematics, Statistics, Economics, a related technical field, or equivalent professional experience
• Strong SQL and dbt skills, including incremental models and testing
• Hands-on Snowflake experience, including semantic modeling
• Commitment to data quality, with experience building tests and monitoring that catch issues before stakeholders do
• Experience working with product teams, ideally technical ones, to define metrics and scope ambiguous problems
• Fluency with AI coding tools like Claude, with the judgment to use, build, and validate AI-generated code
• Comfort working in a regulated environment with privacy and compliance requirements
• The ownership and end-to-end thinking to see a problem from raw data to a metric someone trusts
• Strong communication skills with technical and non-technical partners

Nice to Have

• Snowflake Cortex, CoWork agents, or other LLM-based tooling
• Working knowledge of statistics and experimentation
• Healthcare, claims, or insurance background; HIPAA familiarity
• Python for pipelines or lightweight applications
• Fivetran or other ELT experience, including troubleshooting sync and CDC issues
• Tableau or other BI tools

What You’ll Get

• Competitive salary, bonus opportunity, and equity package
• Comprehensive Medical, Dental, and Vision benefits
• A 401k retirement plan
• Paid vacation and company holidays
• Opportunity to make an impact at a rapidly growing mission-driven company transforming healthcare in the U.S.

Sidecar Health is an Equal Opportunity employer committed to building a diverse team. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

This is an exciting opportunity to participate in advancing Natera’s oncology product portfolio of cutting-edge diagnostic tests. As Manager of Statistical Programming, you will leverage your strong R programming skills and clinical trials background to contribute to the analysis and reporting of clinical trials supporting multiple regulatory submissions.

Primary Responsibilities:

• Lead and oversee statistical programming deliverables, including ADS (Analysis Datasets) and TLF (Table, Listings and Figures), ensuring data integrity and regulatory compliance with ICH, GCP, and FDA 21 CFR Part 11.
• May manage a team of statistical programmers, taking responsibility for their technical and professional development, while contributing hands-on to programming work.
• Act as primary programming lead for regulatory submissions (e.g., 510(k), CTA/CDx, and PMA), ensuring all deliverables meet rigorous global standards.
• Maintain programming infrastructure, including R package development, validation, and maintenance in a controlled environment.
• Develop R Shiny dashboards that support data review, study monitoring, and exploration of analysis results.
• Promote statistical programming development and validation best practices.
• Work cross-functionally with Biostats, Data Management, Clinical Science, and other functions as necessary.

Qualifications:

• Bachelor’s in Statistics, Mathematics, Computer Science, or a related field.
• 5+ years of related experience, with at least 3 years of experience in Clinical Trial analysis.
• At least 3 years of R programming experience, including package development.

Knowledge, Skills, and Abilities:

• Proficient in R programming, including building and maintaining packages.
• Experience in analysis dataset and TLF generation.
• Prior experience in NGS, genetics, and/or oncology diagnostics preferred.
• Experience maintaining statistical computing environments a plus.

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

Remote USA

$132,000—$165,350 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:

- BBB announcement on job scams

- FBI Cyber Crime resource page

WHO ARE WE? Launch Potato is the discovery and conversion company. We reach tens of millions of people every month through our brands, including FinanceBuzz, All About Cookies, and OnlyInYourState....

WHO ARE WE? Launch Potato is the discovery and conversion company. We reach tens of millions of people every month through our brands, including FinanceBuzz, All About Cookies, and OnlyInYourState....