Business Intelligence Analyst Senior, AI

Geisinger; Pennsylvania; Remote; USD 80,000 - 120,000; Full time

Job summary

Geisinger is seeking a senior data analytics professional to join its AI product function, focusing on turning complex healthcare data into actionable insights. You will build production-grade dashboards in Tableau/Power BI, query Epic Clarity and Caboodle data, and partner with clinical teams to measure AI performance and impact across care delivery and revenue cycle.

The role supports remote work from Pennsylvania, collaborating with product managers, data scientists, and clinicians to size

Qualifications

• 5+ years of experience in business intelligence, data analytics, or healthcare informatics.
• Deep proficiency in SQL and experience querying Epic Clarity or Caboodle databases.
• Proven ability to build production-grade dashboards in Tableau, Power BI, or Qlik.
• Experience in healthcare settings with familiarity in clinical workflows, revenue cycle metrics, or quality reporting.
• Bachelor's degree in data science, informatics, health administration, or a related field; Experience supporting AI or machine learning product teams in a healthcare context.
• Familiarity with Epic reporting workbench, SlicerDicer, or Radar dashboards.
• Exposure to clinical quality metrics, coding capture, or patient throughput analytics

Responsibilities

• Analyze and turn clinical and operational data into evidence for AI portfolio decisions.
• Design and maintain feature datasets and data definitions for model development.
• Build dashboards and visualizations to track AI performance in production.
• Collaborate with product managers, data scientists, and clinical partners across care delivery and operations.
• Ensure data quality and documentation are reusable across portfolio.

Skills

SQL

Tableau

Power BI

Qlik

Healthcare analytics

Education

Bachelor's degree in data science, informatics, health administration, or a related field

Master's degree

High School Diploma or GED

Tools

Epic Clarity

Caboodle

SlicerDicer

Radar dashboards

Job description

Location: Work from home (Pennsylvania) Shift:

Why Geisinger:

Geisinger is operationalizing AI at scale across one of the nation's most integrated health systems, moving beyond pilots and proof of concepts to build capabilities that change how care is delivered and how operations run. This role works across clinical, operational, health plan, and pharmacy functions alongside AI product development and organizational leadership to identify and advance the AI opportunities that matter most.

This role provides the analytical foundation that makes good AI investment decisions possible, from measuring what is working in production to sizing what is worth building next. Embedded within Geisinger AI product function, you will turn complex clinical and operational data into the evidence that drives portfolio decisions, validates AI performance in production, and informs how the organization communicates value to leadership. You will work closely with product managers, data scientists, and clinical partners across a broad range of AI initiatives spanning care delivery, revenue cycle, operations, and more. 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.

Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. Relevant experience may be a combination of related work experience and degree obtained (Associate’s Degree = 2 years; Bachelor’s Degree = 4 years, Master's Degree = 6 years).

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
• ~ Bachelors degree in data science, informatics, health administration, or a related field; Experience supporting AI or machine learning product teams in a healthcare context
• Familiarity with Epic reporting workbench, SlicerDicer, or Radar dashboards
• Exposure to clinical quality metrics, coding capture, or patient throughput analytics
• High School Diploma or Equivalent (GED)- (Required) Experience:

Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities.

We constantly seek new and better ways to care for our patients, our members, our community, and the nation.

We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.