Premium Health Center is seeking a Business Intelligence (BI) Analyst to transform raw data into actionable insights that will directly inform strategic, clinical, operational, and financial decisions across the organization.
Requirements
- Strong proficiency in SQL, including complex joins, window functions, and data transformations
- Hands-on experience with Power BI, or similar BI platform, including DAX, data modeling, and visualization design.
- Experience working with scripting languages (Python, R, etc) and APIs to support data integration and automation.
- Experience with semantic data modeling in Power BI.
- Strong analytical, critical thinking, and problem-solving skills.
- Detail oriented with strong data troubleshooting and validation skills.
- Familiarity with HIPAA or other similar data privacy standards.
Responsibilities
- Design, develop, and maintain dashboards, reports, and data visualizations in Power BI (or similar tools)
- Apply data visualization and storytelling best practices to create intuitive, user-friendly dashboards.
- Translate complex healthcare data into clear, actionable insights that support decisions for clinical, operational, finance, and executive teams.
- Develop and maintain semantic data models, KPIs, and performance metrics aligned with FQHC goals.
- Analyze healthcare data from EHR systems (e.g.,eClinicalWorks, Office Practicum, etc) and other sources to identify trends, gaps, and opportunities for improvement.
- Support UDS (Uniform Data System) reporting and other regulatory compliance requirements.
- Build and maintain light ETL and data integration tasks using SQL, APIs, and scripting tools.
Other
- 4+ years of experience in a BI, data analyst, or similar role, preferably in a healthcare or FQHC setting.
- Excellent communication and data storytelling skills with the proven ability to present insights to non-technical audiences.
- Highly organized, with the ability to manage multiple tasks and deadlines.
- Self-starter who works independently and collaboratively.
- Ability to partner cross-functionally across clinical, operational, financial, IT, and data teams.
