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Commission Healthcare Data Analytics Jobs (NOW HIRING)

Saransh Inc

Health Care Data Engineer

New York, NY · On-site

$125K - $150K/yr

... and pipelines to support analytics and business intelligence. This role focuses on data ... Experience with healthcare data and leading data teams * Agile development experience * Strong ...

DRC Systems

Technical Lead - Data Analysis

Boston, MA · Remote

$50 - $54/hr

Data Visualization & Storytelling - Ability to translate complex healthcare data into actionable insights using dashboards and stakeholder-ready visualizations. * Healthcare Analytics & Value-Based ...

Medeloop

Healthcare Data Scientist (RWD)

New York, NY · On-site

This is a hands-on role that combines rigorous real-world evidence analysis with deep collaboration ... healthcare data. Externally, you will serve as an embedded data scientist for our partner ...

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How much do commission healthcare data analytics jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for commission healthcare data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It requires skills in data management, statistical analysis, and familiarity with healthcare systems and tools like SQL and Python. The demand for professionals in this area is increasing, making it a promising career choice for those interested in healthcare and data science.

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Commission Healthcare Data Analytics jobs near you

Senior Healthcare Data Modeler

Spring Park, MN • On-site

Techvilla Solutions
IT Services • 51 - 200 employees
Learn more about Techvilla Solutionsexternal

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Primary Responsibilities
  • Design and implement enterprise data models and data architecture for large, complex healthcare systems.
  • Translate business and technical requirements into scalable data models and end-to-end data solutions.
  • Develop data strategies, roadmaps, and data management solutions supporting analytics and enterprise reporting.
  • Design normalized OLTP, OLAP, MDM, and dimensional models, including Star schemas, SCDs, role-playing dimensions, hierarchies, and data classification.
  • Develop and review complex SQL queries, stored procedures, DDL, DML, and DCL using ANSI standards.
  • Optimize SQL queries and analyze database performance.
  • Define and implement data quality, profiling, governance, security, metadata management, MDM, archival, and migration strategies.
  • Ensure compliance with healthcare data security and privacy requirements, including HIPAA, PHI, and PII.
  • Collaborate with Data Managers, Data Integration Leads, Data Engineers, and business stakeholders.
  • Provide technical leadership, problem-solving, presentations, and recommendations for complex data initiatives.
Required Skills & Qualifications
  • 8+ years of experience in Data Modeling, Data Architecture, or Data Management.
  • 5+ years of hands-on experience with Erwin Data Modeler.
  • 5+ years of experience working with healthcare data and healthcare information systems.
  • Strong experience with Medicaid, Medicare, and Commercial healthcare datasets; Medicaid experience is highly preferred.
  • 7+ years of advanced SQL experience, including complex queries, stored procedures, DDL, DML, DCL, and query optimization.
  • Strong expertise in OLTP, OLAP, MDM, and dimensional data modeling.
  • Experience with Star schemas, Slowly Changing Dimensions (SCD), role-playing dimensions, dimensional hierarchies, and data classification.
  • Strong knowledge of Data Governance, Data Quality, Data Profiling, Data Security, Metadata Management, MDM, Data Archival, and Data Migration.
  • Strong understanding of HIPAA, PHI, PII, and healthcare data privacy/security requirements.
  • Excellent problem-solving, communication, influencing, presentation, and stakeholder management skills.
  • Ability to work independently and take ownership of complex data initiatives.
Preferred Skills
  • Experience with Microsoft Azure data services, including Azure Data Lake Storage, Azure Data Factory, Microsoft Purview, and Azure Maps.
  • Experience with Snowflake.
  • Experience with Power BI or Tableau.
  • Experience designing and implementing large-scale healthcare data warehouse and analytics solutions.

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