Senior Business Intelligence Analyst, Discovery

Geisinger

Danville (PA)

On-site

USD 85,000 - 110,000

Full time

14 days+

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Job summary

A leading health system in Pennsylvania seeks an analyst to evaluate AI opportunities based on data analysis and strategic decision-making. The role involves portfolio-level analysis, collaboration with various departments, and developing compelling narratives to drive investment decisions. Applicants should have significant experience in healthcare analytics, strong SQL and data visualization skills, and a relevant degree. This position allows for remote work, catering to a flexible work environment.

Qualifications

  • 5+ years of experience in business intelligence, healthcare analytics, or strategy analytics.
  • Strong proficiency in SQL and data visualization tools.
  • Ability to manage ambiguity and produce polished analytical narratives.

Responsibilities

  • Conduct portfolio-level analysis to identify AI opportunity areas.
  • Collaborate with leaders to surface data-driven insights.
  • Design measurement frameworks for early-stage pilots.

Skills

Business intelligence
Healthcare analytics
SQL
Data visualization
ROI models
Written communication
Data analysis
Analytical narratives

Education

Bachelor's degree in data science, informatics, or related field
Advanced degree

Tools

SQL (Epic Clarity, Caboodle)
Tableau
Power BI

Job description

Job Summary

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 sizing what is worth building next to supporting the external partnership evaluations that expand Geisinger AI capabilities. Position Summary: This is a role for an analyst who wants their work to drive real strategic decisions, not just report on things after the fact. Embedded within Geisinger AI Discovery and Strategy function, you will build the quantitative case for which AI opportunities deserve investment, size the potential value of what the organization is considering, and provide the analytical grounding that keeps discovery work honest. Your findings will directly inform what gets built and which partnerships get pursued.

Job Duties
  • Do the portfolio level analysis that tells the discovery team where to focus next, identifying where the biggest clinical and operational gaps exist and which AI opportunity areas have the strongest evidence for investment.
  • Work directly with clinical, operational, health plan, and pharmacy leaders across Geisinger to understand strategic priorities, surface data‑driven insights, and help shape where discovery energy gets directed.
  • Size opportunities that have never been sized before, building quantitative business cases from messy, incomplete data and turning them into the evidence that determines whether an idea moves forward.
  • Benchmark Geisinger performance against peer health systems and external data sources to identify where the organization has the most to gain and where the market is moving.
  • Design measurement frameworks for early‑stage pilots from scratch, ensuring that every initiative the team pursues is set up to generate real learning rather than just activity.
  • Produce clear, compelling analytical narratives and visualizations that translate complex findings into strategic recommendations leadership can act on.
  • Collaborate with analysts across the AI portfolio to share methods, data assets, and reusable components that raise the quality of analytical work across the function.

Work is typically performed in an office or remote environment. Accountable for satisfying all job‑specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all‑inclusive. They represent typical elements considered necessary to successfully perform the job.

Required Qualifications
  • 5 or more years of experience in business intelligence, healthcare analytics, or strategy analytics.
  • Strong proficiency in SQL with experience accessing Epic Clarity, Caboodle, or similar clinical data repositories.
  • Demonstrated ability to build compelling data visualizations in Tableau, Power BI, or equivalent tools.
  • Experience developing business cases, ROI models, or opportunity sizing frameworks in a healthcare or technology context.
  • Strong written communication skills with the ability to produce polished analytical narratives and supporting documentation.
  • Ability to manage ambiguity and move effectively between exploratory analysis and structured deliverables.
  • Bachelor's degree in data science, informatics, finance, or a related field; advanced degree preferred.
Preferred Qualifications
  • Prior experience supporting AI or innovation functions within a health system or digital health organization.
  • Familiarity with clinical quality metrics, coding capture, throughput analytics, or revenue cycle KPIs.
  • Experience contributing to vendor RFI or RFP evaluation processes.
  • Exposure to statistical modeling or predictive analytics in addition to descriptive BI.
Education

High School Diploma or Equivalent (GED) – required.

Experience

Minimum of 8 years of relevant experience required; combined work experience and degree according to industry standards (Associate’s Degree = 2 years; Bachelor’s Degree = 4 years; Master’s Degree = 6 years).

Equal Employment Opportunity Statement

We are an affirmative action, equal opportunity employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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