Remote Customer Data Analyst Jobs
Remote customer data analyst jobs are open across the U.S. at remote-first firms, distributed SaaS teams, and enterprise companies running data operations without a central office. Employers actively hiring remotely include Humana, ServiceNow, and Triumph Enterprises, with strong demand concentrated in Technology & Software, Healthcare & Medical Services, and Retail. Find a role that fits below and apply directly.
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The Principal Product Manager, Clinical Data Analytics, will play a pivotal role in shaping Tendo’s data-driven solutions by translating clinical and financial-focused activities into actionable insights that support patients, providers, and health systems. This individual will help define product strategy and functional requirements for analytics offerings, leveraging deep expertise with healthcare coding systems (ICD-10, DRG, CPT) and payer/provider data workflows. Specifically, this role will help define data requirements and business logic to:
Measure provider-level clinical quality from claims data.
Analyze the relationship between quality, price, and market share for health procedures.
Identify missing comorbidities from EHR patient records.
This role requires a strong balance of technical acumen, healthcare domain knowledge, and product management experience. This person will work closely with engineering, clinical informatics, and customer-facing teams to deliver data solutions that improve decision-making, enhance operational efficiency, and support Tendo’s marketplace growth. Under Tendo’s AI-First R&D model, this role operates as a Product Engineer with domain strength, owning features end-to-end from discovery through release, with AI as the first author at every stage.
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
Salt Lake City, UT
Tendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Tendo may consider candidates located in any one of our hub locations.
Responsibilities
Product Strategy & Roadmap: Help define the product vision, strategy, and roadmap for clinical data analytics, aligning with company priorities, customer needs, and market opportunities.
Healthcare Data Expertise: Serve as a subject matter expert on EHR, claims, pricing, payment, and healthcare coding data to ensure accurate, compliant, and valuable use of clinical and financial information in products.
Quality Measurement & Methodology: Define and maintain the business logic, measurement specifications, risk adjustment methodologies, scoring algorithms, and forecasting models that power Tendo’s quality analytics products, ensuring alignment with evolving CMS, commercial payer, and industry quality programs.
Clinical Analytics Leadership: Partner with quality measurement experts, clinical informatics, data science, and engineering teams to design methodologies that accurately measure provider performance, identify opportunities for quality improvement, and produce transparent and explainable analytics.
Customer Engagement: Collaborate with health systems, employers, payers, and other stakeholders to gather requirements, validate use cases, and ensure products deliver measurable value.
Execution & Delivery: Own assigned features end-to-end, from opportunity statement through specification, design input, build, documentation, and release, advancing work through the four PLA gate reviews with no handoffs between stages.
Analytics & Insights: Partner with data science and engineering to build tools that surface actionable insights for users, ensuring outputs are accurate, meaningful, accessible, and aligned with defined methodologies.
Market & Internal Collaboration: Monitor industry trends, competitive offerings, and regulatory developments to inform product direction, and work closely with Sales, Customer Engagement, and Operations to support go-to-market, adoption, and customer satisfaction.
AI-Directed Delivery & Knowledge Sharing: Use AI as the first author for specifications, acceptance criteria, documentation, and analysis; critically evaluate and refine AI-generated output, and contribute prompt patterns, quality examples, and design and decision standards to the shared team library.
Requirements
Bachelor’s degree in Healthcare Administration, Computer Science, Data Science, Health Informatics, or a related field, or equivalent professional experience.
7+ years of product management experience in healthcare technology, healthcare analytics, data products, or a related field.
Deep expertise in U.S. healthcare quality measurement and performance frameworks, including nationally recognized programs such as CMS Star Ratings, Hospital Compare/Overall Hospital Quality Star Ratings, U.S. News Best Hospitals, Leapfrog Hospital Safety Grade, HEDIS, MIPS, ACO quality measures, and other value-based care models.
Demonstrated expertise in healthcare quality measurement science, including measure development, risk adjustment, provider attribution, benchmarking, statistical validation, and quality reporting. Ability to critically evaluate published quality methodologies and translate them into production-grade product functionality.
Experience translating complex clinical and quality measurement methodologies into product requirements, business rules, data models, and analytics solutions, partnering with engineering and data science teams to deliver scalable healthcare products.
Ability to translate complex quality measurement methodologies into scalable product requirements, analytics, AI-driven insights, and decision-support capabilities for healthcare organizations.
Strong working knowledge of healthcare coding systems, including ICD-10, DRG, and CPT, as well as claims, payment, and payer/provider data workflows.
Experience working with healthcare data standards and interoperability technologies, including HL7, FHIR, EHR data models, provider directories, and clinical terminology standards such as LOINC, SNOMED CT, and RxNorm, strongly preferred.
Experience working with large, complex healthcare datasets and translating data into meaningful products, insights, or analytics.
Working familiarity with SQL, Python, relational data concepts, or similar technical tools and concepts.
Demonstrated ability to define product strategy, requirements, business logic, and roadmaps for complex data-driven products.
Strong communication, stakeholder management, and problem-solving skills, with the ability to work effectively across technical, clinical, and business teams.
Demonstrated ability to own product initiatives from discovery through delivery and post-release learning.
Demonstrated fluency with AI tools as a first author, with the ability to direct, evaluate, and refine AI-generated product specifications, documentation, and analysis using strong independent judgment.
Nice to Have
Advanced degree (MBA, MPH, MS in Health Informatics, MS in Data Science, or related field).
Experience with SaaS platforms, digital health solutions, or healthcare marketplaces.
Experience developing products that support provider quality reporting, value-based care, population health, care management, or healthcare transparency initiatives.
Experience with CMS quality programs, HRRP, HCC, Leapfrog, U.S. News, commercial quality scorecards, or other healthcare performance measurement frameworks.
Experience applying predictive analytics or machine learning to healthcare quality measurement, risk prediction, or forecasting.
Familiarity with Medicare, Medicaid, and commercial claims data structures and reimbursement methodologies.
Familiarity with payer, provider, and employer data integration and reporting needs.
Understanding of value-based care, reimbursement models, and healthcare economics.
Experience working with EHR systems and clinical informatics teams in a product capacity.
Base Salary Range
$131,750 - $178,250
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”).
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.
The Principal Product Manager, Clinical Data Analytics, will play a pivotal role in shaping Tendo’s data-driven solutions by translating clinical and financial-focused activities into actionable insights that support patients, providers, and health systems. This individual will help define product strategy and functional requirements for analytics offerings, leveraging deep expertise with healthcare coding systems (ICD-10, DRG, CPT) and payer/provider data workflows. Specifically, this role will help define data requirements and business logic to:
Measure provider-level clinical quality from claims data.
Analyze the relationship between quality, price, and market share for health procedures.
Identify missing comorbidities from EHR patient records.
This role requires a strong balance of technical acumen, healthcare domain knowledge, and product management experience. This person will work closely with engineering, clinical informatics, and customer-facing teams to deliver data solutions that improve decision-making, enhance operational efficiency, and support Tendo’s marketplace growth. Under Tendo’s AI-First R&D model, this role operates as a Product Engineer with domain strength, owning features end-to-end from discovery through release, with AI as the first author at every stage.
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
Salt Lake City, UT
Tendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Tendo may consider candidates located in any one of our hub locations.
Responsibilities
Product Strategy & Roadmap: Help define the product vision, strategy, and roadmap for clinical data analytics, aligning with company priorities, customer needs, and market opportunities.
Healthcare Data Expertise: Serve as a subject matter expert on EHR, claims, pricing, payment, and healthcare coding data to ensure accurate, compliant, and valuable use of clinical and financial information in products.
Quality Measurement & Methodology: Define and maintain the business logic, measurement specifications, risk adjustment methodologies, scoring algorithms, and forecasting models that power Tendo’s quality analytics products, ensuring alignment with evolving CMS, commercial payer, and industry quality programs.
Clinical Analytics Leadership: Partner with quality measurement experts, clinical informatics, data science, and engineering teams to design methodologies that accurately measure provider performance, identify opportunities for quality improvement, and produce transparent and explainable analytics.
Customer Engagement: Collaborate with health systems, employers, payers, and other stakeholders to gather requirements, validate use cases, and ensure products deliver measurable value.
Execution & Delivery: Own assigned features end-to-end, from opportunity statement through specification, design input, build, documentation, and release, advancing work through the four PLA gate reviews with no handoffs between stages.
Analytics & Insights: Partner with data science and engineering to build tools that surface actionable insights for users, ensuring outputs are accurate, meaningful, accessible, and aligned with defined methodologies.
Market & Internal Collaboration: Monitor industry trends, competitive offerings, and regulatory developments to inform product direction, and work closely with Sales, Customer Engagement, and Operations to support go-to-market, adoption, and customer satisfaction.
AI-Directed Delivery & Knowledge Sharing: Use AI as the first author for specifications, acceptance criteria, documentation, and analysis; critically evaluate and refine AI-generated output, and contribute prompt patterns, quality examples, and design and decision standards to the shared team library.
Requirements
Bachelor’s degree in Healthcare Administration, Computer Science, Data Science, Health Informatics, or a related field, or equivalent professional experience.
7+ years of product management experience in healthcare technology, healthcare analytics, data products, or a related field.
Deep expertise in U.S. healthcare quality measurement and performance frameworks, including nationally recognized programs such as CMS Star Ratings, Hospital Compare/Overall Hospital Quality Star Ratings, U.S. News Best Hospitals, Leapfrog Hospital Safety Grade, HEDIS, MIPS, ACO quality measures, and other value-based care models.
Demonstrated expertise in healthcare quality measurement science, including measure development, risk adjustment, provider attribution, benchmarking, statistical validation, and quality reporting. Ability to critically evaluate published quality methodologies and translate them into production-grade product functionality.
Experience translating complex clinical and quality measurement methodologies into product requirements, business rules, data models, and analytics solutions, partnering with engineering and data science teams to deliver scalable healthcare products.
Ability to translate complex quality measurement methodologies into scalable product requirements, analytics, AI-driven insights, and decision-support capabilities for healthcare organizations.
Strong working knowledge of healthcare coding systems, including ICD-10, DRG, and CPT, as well as claims, payment, and payer/provider data workflows.
Experience working with healthcare data standards and interoperability technologies, including HL7, FHIR, EHR data models, provider directories, and clinical terminology standards such as LOINC, SNOMED CT, and RxNorm, strongly preferred.
Experience working with large, complex healthcare datasets and translating data into meaningful products, insights, or analytics.
Working familiarity with SQL, Python, relational data concepts, or similar technical tools and concepts.
Demonstrated ability to define product strategy, requirements, business logic, and roadmaps for complex data-driven products.
Strong communication, stakeholder management, and problem-solving skills, with the ability to work effectively across technical, clinical, and business teams.
Demonstrated ability to own product initiatives from discovery through delivery and post-release learning.
Demonstrated fluency with AI tools as a first author, with the ability to direct, evaluate, and refine AI-generated product specifications, documentation, and analysis using strong independent judgment.
Nice to Have
Advanced degree (MBA, MPH, MS in Health Informatics, MS in Data Science, or related field).
Experience with SaaS platforms, digital health solutions, or healthcare marketplaces.
Experience developing products that support provider quality reporting, value-based care, population health, care management, or healthcare transparency initiatives.
Experience with CMS quality programs, HRRP, HCC, Leapfrog, U.S. News, commercial quality scorecards, or other healthcare performance measurement frameworks.
Experience applying predictive analytics or machine learning to healthcare quality measurement, risk prediction, or forecasting.
Familiarity with Medicare, Medicaid, and commercial claims data structures and reimbursement methodologies.
Familiarity with payer, provider, and employer data integration and reporting needs.
Understanding of value-based care, reimbursement models, and healthcare economics.
Experience working with EHR systems and clinical informatics teams in a product capacity.
Base Salary Range
$131,750 - $178,250
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”).
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.
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Find JobsRemote Customer Data Analyst Job Market
Who's Hiring
- Humana11
- ServiceNow8
- Triumph Enterprises8
- Fidelity Investments5
- Tailored Brands3
Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
- Retail
- Education
- Science & Research
What Employers Look For
The qualifications that appear most often in remote customer data analyst jobs.
- Proficiency in SQL for querying and transforming large customer datasets
- Experience with data visualization tools such as Tableau or Power BI
- Familiarity with Python or R for statistical analysis and modeling
- Bachelor's degree in statistics, mathematics, economics, or a related field
- Hands-on experience with CRM platforms or customer data platforms
- Ability to translate analytical findings into clear business recommendations for non-technical stakeholders
Tips for Your Remote Customer Data Analyst Job Search
Build a portfolio showing async data work
Remote employers can't observe how you work day-to-day, so your portfolio has to do that job. Include documented customer analyses with clear write-ups explaining your methodology, findings, and recommendations, so hiring managers can assess both your SQL or Python skills and your written communication.
Signal remote readiness in your application
Call out tools and practices that matter for distributed teams: async communication, version-controlled notebooks, shared dashboards in Looker or Tableau, and experience working across time zones. Employers hiring remotely look for candidates who have already operated in that environment, not just ones who say they prefer it.
Apply early to remote roles that fit
Migrate Mate lists remote customer data analyst openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through listings that aren't actually remote.
Prepare for async-first remote interviews
Many remote-first companies use take-home data challenges, recorded video screens, or written case studies before any live interview. Practice working through customer churn or segmentation problems under time constraints and presenting findings in a written format, since that mirrors how distributed teams actually collaborate.
Remote Customer Data Analyst Jobs: Frequently Asked Questions
How do I get a remote customer data analyst job?
Target companies with distributed data teams, since they're built for remote collaboration and already have the workflows in place for analysts working independently. Remote employers screen hard for self-direction, clear async written communication, and proficiency in tools like SQL, Python, Tableau, or Looker. A portfolio showing real customer data work, even from freelance or personal projects, gives you a concrete edge over candidates with similar credentials.
Which companies hire remote customer data analysts?
Remote customer data analyst roles are posted by Humana, ServiceNow, and Triumph Enterprises and others right now, based on current remote listings on Migrate Mate as of November 2026. These tend to be remote-first technology companies, fintech platforms, and subscription businesses where customer behavior data is central to the product.
Can you get a remote customer data analyst job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one with minimal hand-holding. Remote-first SaaS startups and digital-native companies are the most likely to hire entry-level remote analysts. Build a public portfolio with SQL queries, customer segmentation walkthroughs, or cohort analyses on open datasets, and demonstrate async communication skills clearly in your application materials.
Do you need a degree for remote customer data analyst jobs?
Not always. Many remote employers care more about demonstrated skills than credentials, especially at companies that hire distributed teams and assess candidates through skills tests or portfolio reviews. Proficiency in SQL, data visualization tools, and customer analytics frameworks can substitute for a degree, particularly if you can show documented results from past projects or contract work.
Which industries hire the most remote customer data analysts?
The sectors hiring the most remote customer data analysts are Technology & Software, Healthcare & Medical Services, and Retail, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed data teams to monitor customer behavior, reduce churn, and drive product decisions without requiring analysts to be on-site.
See All 180+ Remote Customer Data Analyst Jobs
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