Senior Business Intelligence Analyst, AI

Geisinger

Senior Business Intelligence Analyst leveraging analytics to advance AI initiatives in healthcare. Collaborating with product, clinical, and operational teams to drive data-informed decisions.

Posted 4/16/2026full-timeRemote • Pennsylvania • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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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