Digital Health Analytics Analyst Senior

Location: Work from home (Pennsylvania) Shift: Days (United States of America) Scheduled Weekly Hours: 40 Worker Type: Regular Exemption Status: Yes Job Summary: 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. Job Duties: 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. 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. Position Details: Competencies and Skills: 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. Education and/or Experience: Required Education: Bachelor's degree in data analytics, information systems, computer science, statistics, healthcare informatics, public health, business analytics, or a closely related field. Master's degree preferred. Required Experience: Suggested 5 to 7 years of experience in analytics, business intelligence, healthcare reporting, healthcare operations analytics, digital health analytics, or product analytics. Preferred Experience: Demonstrated experience with healthcare and electronic health record data, clinical workflows, digital product implementations, requirements gathering, stakeholder consultation, and executive communication. Certifications or Licensures: Preferred: Epic Clarity, Cogito, or Caboodle reporting certification; Professional Scrum Master or equivalent agile certification; Tableau or Databricks certification Education: Bachelor's Degree-Technology Related Degree (Required) Experience: Minimum of 5 years-Related work experience (Required), -Healthcare (Preferred) Certification(s) and License(s): Skills: Critical Thinking, Working Independently OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities. KINDNESS: We strive to treat everyone as we would hope to be treated ourselves. EXCELLENCE: We treasure colleagues who humbly strive for excellence. LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow. INNOVATION : We constantly seek new and better ways to care for our patients, our members, our community, and the nation. SAFETY: We provide a safe environment for our patients and members and the Geisinger family. We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality. Equal Opportunity Employer. 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.