Remote Healthcare Data Analyst Jobs
Remote Healthcare Data Analyst jobs are open across the U.S. in health insurance, hospital systems, digital health, and health IT consulting, with distributed teams at companies like Tiger Analytics, UST, and Optum actively hiring from entry-level to senior roles. Find a role that fits below and apply directly.
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Showing 5 of 19+ Remote Healthcare Data Analyst jobs
Role: Healthcare Data Architect
Domain: Healthcare Payer
Core Technologies: HealthEdge, SQL Server, Oracle, Databricks, SnapLogic, Azure Data Factory, Data Warehousing, Data Modelling, ETL
Role Overview:
- We are seeking an experienced Healthcare Data Architect / Data Program Manager to drive data architecture, platform modernization, and program delivery. The role combines strong technical expertise in data warehousing, ETL, and lakehouse technologies with client consulting, stakeholder management, and end-to-end delivery ownership.
- The candidate will build trusted business relationships, proactively identify risks and improvement opportunities, and drive scalable, business-aligned data solutions.
Key Responsibilities:
- Data Architecture & Modeling: Design enterprise data warehouse and lakehouse architectures, dimensional data models, and business-aligned data marts in collaboration with business users.
- HealthEdge & Data Warehousing: Provide consulting on HealthEdge data warehouse environments, assess existing schemas and data flows, and recommend solutions for data integration and analytics.
- Databricks & Lakehouse Modernization: Lead migration from traditional data warehouses to Databricks. Design and develop data pipelines, configure and manage jobs, implement ETL/ELT workflows, and leverage Medallion Architecture (Bronze, Silver, Gold).
- Data Integration & ETL: Design and guide data integration solutions using SnapLogic, Azure Data Factory (ADF), and Databricks to connect enterprise applications, operational systems, and downstream analytics platforms.
- Business & Client Engagement: Build strong relationships with business users, client stakeholders, and application owners. Lead requirement discussions, translate business needs into technical solutions, and align architecture with business objectives.
- Proactive Risk & Opportunity Management: Identify data gaps, integration challenges, performance issues, architectural limitations, risks, and dependencies early. Drive mitigation plans and identify opportunities for modernization and business growth.
- Program & Delivery Management: Oversee end-to-end solution delivery, coordinating architects, technical leads, data engineering teams, and onshore/offshore resources to ensure quality, timelines, and business outcomes.
- Stakeholder Communication: Define delivery plans and milestones, provide weekly status updates, manage escalations, and maintain alignment across business and technology teams.
Required Skills & Experience:
- Strong expertise in data architecture, data warehousing, SQL Server, dimensional modeling, and data mart development.
- Hands-on experience with Databricks, including pipeline development, job orchestration, data migration, and lakehouse implementation.
- Experience with ETL/ELT and data integration tools such as SnapLogic and Azure Data Factory.
- Knowledge of Medallion Architecture and enterprise data platform modernization.
- Strong client consulting, stakeholder management, program delivery, communication, and proactive risk management skills.
- Experience working in an onshore–offshore delivery model.
Preferred Qualifications:
- Healthcare payer domain knowledge, including claims, enrollment, membership, benefits, and provider data.
- Experience with HealthEdge platforms and associated data warehouses.
- Familiarity with Power BI, Tableau, and enterprise analytics solutions.
Pay: $80.00 - $85.00 per hour
Expected hours: 40.0 per week
Experience:
- Healthcare Data Architect: 4 years (Required)
- Databricks: 4 years (Required)
- ETL/ELT and data integration: 3 years (Required)
- onshore–offshore delivery model: 3 years (Required)
- HealthEdge platforms : 2 years (Required)
Work Location: Remote
Role: Healthcare Data Architect
Domain: Healthcare Payer
Core Technologies: HealthEdge, SQL Server, Oracle, Databricks, SnapLogic, Azure Data Factory, Data Warehousing, Data Modelling, ETL
Role Overview:
- We are seeking an experienced Healthcare Data Architect / Data Program Manager to drive data architecture, platform modernization, and program delivery. The role combines strong technical expertise in data warehousing, ETL, and lakehouse technologies with client consulting, stakeholder management, and end-to-end delivery ownership.
- The candidate will build trusted business relationships, proactively identify risks and improvement opportunities, and drive scalable, business-aligned data solutions.
Key Responsibilities:
- Data Architecture & Modeling: Design enterprise data warehouse and lakehouse architectures, dimensional data models, and business-aligned data marts in collaboration with business users.
- HealthEdge & Data Warehousing: Provide consulting on HealthEdge data warehouse environments, assess existing schemas and data flows, and recommend solutions for data integration and analytics.
- Databricks & Lakehouse Modernization: Lead migration from traditional data warehouses to Databricks. Design and develop data pipelines, configure and manage jobs, implement ETL/ELT workflows, and leverage Medallion Architecture (Bronze, Silver, Gold).
- Data Integration & ETL: Design and guide data integration solutions using SnapLogic, Azure Data Factory (ADF), and Databricks to connect enterprise applications, operational systems, and downstream analytics platforms.
- Business & Client Engagement: Build strong relationships with business users, client stakeholders, and application owners. Lead requirement discussions, translate business needs into technical solutions, and align architecture with business objectives.
- Proactive Risk & Opportunity Management: Identify data gaps, integration challenges, performance issues, architectural limitations, risks, and dependencies early. Drive mitigation plans and identify opportunities for modernization and business growth.
- Program & Delivery Management: Oversee end-to-end solution delivery, coordinating architects, technical leads, data engineering teams, and onshore/offshore resources to ensure quality, timelines, and business outcomes.
- Stakeholder Communication: Define delivery plans and milestones, provide weekly status updates, manage escalations, and maintain alignment across business and technology teams.
Required Skills & Experience:
- Strong expertise in data architecture, data warehousing, SQL Server, dimensional modeling, and data mart development.
- Hands-on experience with Databricks, including pipeline development, job orchestration, data migration, and lakehouse implementation.
- Experience with ETL/ELT and data integration tools such as SnapLogic and Azure Data Factory.
- Knowledge of Medallion Architecture and enterprise data platform modernization.
- Strong client consulting, stakeholder management, program delivery, communication, and proactive risk management skills.
- Experience working in an onshore–offshore delivery model.
Preferred Qualifications:
- Healthcare payer domain knowledge, including claims, enrollment, membership, benefits, and provider data.
- Experience with HealthEdge platforms and associated data warehouses.
- Familiarity with Power BI, Tableau, and enterprise analytics solutions.
Pay: $80.00 - $85.00 per hour
Expected hours: 40.0 per week
Experience:
- Healthcare Data Architect: 4 years (Required)
- Databricks: 4 years (Required)
- ETL/ELT and data integration: 3 years (Required)
- onshore–offshore delivery model: 3 years (Required)
- HealthEdge platforms : 2 years (Required)
Work Location: Remote
See All 19 Remote Healthcare Data Analyst Jobs
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Find JobsRemote Healthcare Data Analyst Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote healthcare data analyst jobs.
- Proficiency in SQL for querying relational databases and clinical data warehouses
- Experience with data visualization tools such as Tableau, Power BI, or Qlik
- Familiarity with EHR systems including Epic, Cerner, or Meditech
- Bachelor's degree in health informatics, statistics, computer science, or a related field
- Knowledge of healthcare terminology, ICD-10 coding, and claims data structures
- Experience with Python or R for data manipulation and statistical analysis
Tips for Your Remote Healthcare Data Analyst Job Search
Show async work output in your portfolio
Remote healthcare data analyst hiring managers want proof you can deliver without daily check-ins. Include documented analyses, annotated SQL queries, or written summaries of findings from claims or EHR data that a reviewer can evaluate on their own time.
Apply early to remote roles that fit
Migrate Mate lists remote healthcare data analyst openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through unrelated listings.
Sharpen written communication for distributed teams
Remote health data teams communicate through written updates, not hallway conversations. Practice writing concise, structured summaries of your analytical findings, because remote employers screen for written clarity as seriously as technical skills in this role.
Target companies with distributed data teams
Health insurers, digital health platforms, and health IT consulting firms maintain permanent distributed analyst teams, making them more likely to have stable remote infrastructure and async workflows compared to hospital systems piloting remote work for the first time.
Remote Healthcare Data Analyst Jobs: Frequently Asked Questions
How do I get a remote healthcare data analyst job?
Remote healthcare data analyst roles go to candidates who can demonstrate self-direction and clear written communication alongside technical skills, because distributed teams can't rely on in-person oversight. Health insurers, digital health platforms, and health IT vendors are the most active remote hirers. Strong SQL, working knowledge of claims or EHR data, and experience documenting your analysis process for async review all give you a real edge.
Which companies hire remote healthcare data analysts?
Companies hiring remote healthcare data analysts right now include Tiger Analytics, UST, and Optum, based on current remote listings on Migrate Mate as of November 2026. Remote-first health insurers, digital health startups, and distributed health IT consulting firms make up the largest share of remote openings in this role.
Can you get a remote healthcare data analyst job with no experience?
Yes, but remote entry roles are harder to land because employers expect you to work independently from day one. Digital health startups and smaller health IT firms are more open to junior remote hires than large hospital systems. A portfolio showing claims data cleaning, EHR analysis, or a public health dataset project signals you can produce results without hand-holding, which is what remote hiring managers look for.
Do you need a degree for remote healthcare data analyst jobs?
Not always. Many remote employers weigh demonstrated skills in SQL, Python, and healthcare data systems over a specific degree, particularly at health tech companies and digital health platforms. A portfolio of real analysis work using claims, clinical, or public health data carries weight, and certifications in health informatics or data analytics can reinforce your technical credibility when you don't have a traditional four-year background.
Which industries hire the most remote healthcare data analysts?
Most remote healthcare data analyst openings sit in Technology & Software, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed analyst teams to process high volumes of claims, clinical, and operational data across geographically spread organizations.
See All 19 Remote Healthcare Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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