Digital Health Analytics Analyst Senior

Geisinger • Work from home (Pennsylvania), PA

10d • Remote

About The Position

The Senior Digital Health Analytics Analyst independently owns complex analytics initiatives end to end, from discovery through delivery and monitoring, advancing digital health strategy and innovation across clinical operations, patient engagement, and product implementations. Working directly with clinical, operational, product, vendor, and executive stakeholders, this role turns ambiguous problems into requirements, KPIs, reporting strategy, validated datasets, and clear recommendations, with no business-analyst intermediary. For formal evaluation or advanced modeling, the senior analyst partners with research and data science experts as the data and context broker. The team also helps implement and evaluate a growing set of AI-enabled solutions, supporting their rollout, adoption, and ongoing performance measurement. Our analytics team partners closely with the data management and enterprise analytics teams, building datasets and automated solutions on top of the enterprise data warehouses they maintain and coordinating shared data needs, definitions, and new data sources.

Requirements

• Advanced healthcare analytics judgment across clinical workflows, operational goals, patient-engagement models, and EHR data limitations.
• Advanced SQL development and data analysis across enterprise data warehouses and reporting environments.
• Ability to independently gather requirements, define scope, set KPIs, design dashboards, and choose the right descriptive monitoring approach.
• Strong data validation skills: reconciliation, logic review, stakeholder validation, and source-to-output comparison.
• Ability to partner with product managers, engineers, vendors, data management, clinicians, care teams, and executives.
• Ability to build executive-ready narratives, presentations, and written recommendations from complex findings.
• Working knowledge of agile delivery, backlogs, sprint planning, and Azure DevOps.
• Ability to recognize when research/data science or formal evaluation is needed and partner effectively with those teams.
• Bachelor's degree in data analytics, information systems, computer science, statistics, healthcare informatics, public health, business analytics, or a closely related field.
• Minimum of 5 years of experience in analytics, business intelligence, healthcare reporting, healthcare operations analytics, digital health analytics, or product analytics.

Nice To Haves

• Master's degree preferred.
• Demonstrated experience with healthcare and electronic health record data, clinical workflows, digital product implementations, requirements gathering, stakeholder consultation, and executive communication.
• Epic Clarity, Cogito, or Caboodle reporting certification; Professional Scrum Master or equivalent agile certification; Tableau or Databricks certification.

Responsibilities

• Independently owns one or more complex analytics initiatives from discovery through delivery and monitoring.
• Builds and maintains datasets, automated SQL jobs, dashboards, and reports on enterprise platforms (Databricks, SQL Server, Epic Clarity, Tableau).
• Works directly with clinical, operational, product, and executive stakeholders to define requirements, KPIs, and reporting strategy, with no business-analyst intermediary.
• Designs the analytic approach, reporting data model, and dashboard strategy for assigned initiatives.
• Leads the analytics work to implement and evaluate AI-enabled products, including data readiness, validation, and ongoing performance measurement.
• Leads data validation sessions and resolve complex data-quality, logic, and reconciliation issues.
• Serves as the primary analytics liaison across product, engineering, vendors, data management, and operations.
• Designs the data assets and reporting logic required to support digital product implementations and automated processes.
• Builds KPI frameworks, pre/post summaries, and leadership-ready interpretation of findings.
• Partners with research and data science experts for formal evaluation or advanced modeling, serving as the data and context broker.
• Provides technical guidance to analysts and contribute to documentation and validation standards.
• Uses approved generative AI tools to speed summarization, drafting, and executive-ready storytelling while protecting PHI.

Benefits

• healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners.
• atmosphere of collaboration, cooperation and collegiality.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior