Senior Business Intelligence Analyst, AI
Geisinger
full-time
Posted on:
Location Type: Remote
Location: Pennsylvania • United States
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Job Level
About the role
- Partner with product managers during problem sizing to quantify opportunity areas, establish baselines, and define what success looks like before any solution is built
- Conduct exploratory data analysis during model development, profiling data quality, understanding distributions, identifying anomalies, and helping data scientists understand what the data is actually telling them
- Build and maintain the feature datasets and data definitions that model development depends on, ensuring the analytical foundation is sound before anyone builds on it
- Design and own the measurement frameworks that track AI performance in production, going beyond adoption to capture clinical and operational impact
- Dig into Epic, Clarity, Caboodle, and other enterprise data sources to answer hard questions about how AI initiatives are performing and where they need to improve
- Identify and resolve data quality issues at the source, working with clinical and operational teams to address problems that would otherwise degrade model performance silently
- Turn complex analytical findings into clear narratives and visualizations that help product and strategy leaders make faster, better decisions
- Establish and maintain data standards and documentation that make analytical work reusable and trustworthy across the portfolio
Requirements
- 5 or more years of experience in business intelligence, data analytics, or healthcare informatics
- Deep proficiency in SQL and experience querying Epic Clarity or Caboodle databases
- Demonstrated ability to build production grade dashboards in tools such as Tableau, Power BI, or Qlik
- Experience working in healthcare settings with familiarity in clinical workflows, revenue cycle metrics, or quality reporting
- Strong communication skills with the ability to translate analytical findings for nontechnical audiences
- Comfort operating in ambiguous, fast moving environments with multiple competing priorities
- Bachelors degree in data science, informatics, health administration, or a related field; advanced degree preferred.
Benefits
- We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners.
- Encourages an atmosphere of collaboration, cooperation and collegiality.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata analysisdata profilingdata qualitydata visualizationdashboard developmentmeasurement frameworksfeature datasetsanomaly detectionclinical impact assessment
Soft Skills
strong communicationproblem solvingnarrative buildingadaptabilitycollaborationdecision makingorganizational skillstranslating technical findingsworking under ambiguityprioritization