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MyMichigan Health·Midland, MI

Sr Data Management Analyst

Healthcare AdministrationFull time
iPosting details
ScheduleFull time
EducationBachelor's degree · Master's degree preferred
Experience5+ years preferred
SourceMyMichigan Health · posted Oct 8, 2026
✓Requirements
Education
✓Bachelor's Degree in IT, business, or healthcare field required.
Master's degree in data science, analytics, or a related field preferred.
Qualifications
✓Two or more years of experience leading complex data management or analysis projects.
✓Proven ability to develop and manage ETL processes for large-scale healthcare data.
✓Experience with healthcare data standards and regulations (e.g., HIPAA, HITRUST).
✓Demonstrated success in implementing data governance policies and procedures.
✓Proficiency in SQL and relational database concepts.
✓Experience with data warehouse platforms (e.g., Microsoft SQL Server Analysis Services, Teradata, Snowflake).
✓Knowledge of ETL tools (e.g., Informatica PowerCenter, SSIS).
✓Familiarity with data extraction tools from healthcare systems (e.g., EPIC Cogito).
✓Basic understanding of data visualization tools (e.g., Tableau, Power BI).
✓In-Depth experience and competency with EPIC and Cogito applications including (Clarity, Caboodle, Chronicles, Radar, Reporting Workbench. Slicer Dicer, Analytics Catalog).
✓Strong communication skills with ability to collaborate at multiple organization levels across the health system as required, including both technical and non-technical staff.
Five or more years of experience in data management roles, preferably within a healthcare setting. preferred
Experience working with a healthcare EMR system, ideally EPIC. preferred
+MyMichigan Health
32administration roles open
MidlandMI · 85 mi to Grand Rapids
✓You’ll need
Education
✓Bachelor's Degree in IT, business, or healthcare field required.
Master's degree in data science, analytics, or a related field preferred.
Qualifications
✓Two or more years of experience leading complex data management or analysis projects.
✓Proven ability to develop and manage ETL processes for large-scale healthcare data.
✓Experience with healthcare data standards and regulations (e.g., HIPAA, HITRUST).
✓Demonstrated success in implementing data governance policies and procedures.
✓Proficiency in SQL and relational database concepts.
✓Experience with data warehouse platforms (e.g., Microsoft SQL Server Analysis Services, Teradata, Snowflake).
✓Knowledge of ETL tools (e.g., Informatica PowerCenter, SSIS).
✓Familiarity with data extraction tools from healthcare systems (e.g., EPIC Cogito).
✓Basic understanding of data visualization tools (e.g., Tableau, Power BI).
✓In-Depth experience and competency with EPIC and Cogito applications including (Clarity, Caboodle, Chronicles, Radar, Reporting Workbench. Slicer Dicer, Analytics Catalog).
✓Strong communication skills with ability to collaborate at multiple organization levels across the health system as required, including both technical and non-technical staff.
Five or more years of experience in data management roles, preferably within a healthcare setting. preferred
Experience working with a healthcare EMR system, ideally EPIC. preferred

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About the role

Lead the design and implementation of high-performance, secure data models within the healthcare system's data warehouse, optimized for efficient data queries and analysis.

What you’ll do
(25%)* Data Model Design(25%)* Data Model Design and Maintenance:
Lead the design andLead the design and implementation of high-performance, secure data models within the healthcare system's data warehouse, optimized for efficient data queries and analysis
Refine and maintain existingRefine and maintain existing data models to accommodate evolving data landscapes and user needs
Ensure adherence to healthcareEnsure adherence to healthcare data standards and best practices during data modeling activities
Oversee the ETL (ExtractOversee the ETL (Extract, Transform, Load) processes for loading data from EPIC and other disparate sources into the data warehouse, ensuring accuracy, completeness, and timeliness