The HCS Enterprise Analytics & Interoperability Analyst enables one or many components of the end-to-end lifecycle of our analytics and/or interoperability products and services for business functions across the health system.
Requirements
- Fundamental knowledge (basic proficiency) of relational databases
- Fundamental knowledge (basic proficiency) of SQL (for all positions except Research, Admin, and Interop)
- Understand the importance and have fundamental knowledge (basic proficiency) with leveraging existing reusable data sources for visualizations and analytics before creating their own. When creating new assets they have the ability to make it reusable, with help.
- Proficient in building scalable, interactive dashboards and reports, leveraging enterprise data sources, and applying best practices in data modeling and DAX.
- Experience with Microsoft Fabric and integration with other Microsoft tools (e.g., Excel, Teams, SharePoint) is a plus.
- Experience designing and maintaining semantic models to support governed, reusable datasets that enable self-service analytics across the organization.
Responsibilities
- Design, develop, and maintain Power BI dashboards and reports to support clinical, operational, and strategic decision-making.
- Apply data modeling techniques and write efficient DAX queries to ensure performance and usability.
- Build and maintain semantic models in Power BI and Microsoft Fabric to support governed, reusable datasets that align with enterprise data governance standards.
- Leverage Microsoft Fabric, OneLake, and Power BI Dataflows to build reusable, governed datasets.
- Provide technical support and training to end users on Power BI usage and self-service analytics.
- Maintain documentation for Power BI solutions, including data sources, logic, and user guides.
- They develop and maintain clear, understandable documentation to describe program development and modification, as well as troubleshooting.
Other
- Requires Bachelor's degree
- If a Bachelor's Degree in other field, requires two (2) years of experience.
- If a Bachelor’s Degree in a STEM field (i.e. Engineering, Math, Computer Science, Analytics, etc.), then no years of experience is required.
- If Master’s Degree, then no experience is required.
- If current certification in analytics, requires one (1) year of experience
