Senior Digital Health Analytics Analyst

🕒 July 28

🔔 Pennsylvania – Remote

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⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

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👻 Ghost score 34%

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Logo of Geisinger

Geisinger

10,000+ employees

Founded 1915

🏥 Healthcare

💊 Pharmaceuticals

🧘 Wellness

Healthcare • Pharmaceuticals • Wellness

Geisinger is a healthcare organization that has been providing accessible medical services for over a century in Pennsylvania. It focuses on meeting the healthcare needs of its communities and is dedicated to innovative patient care. With career opportunities in various fields including nursing, allied health, and administration, Geisinger promotes professional development and a supportive workplace for its employees, emphasizing diversity, equity, and inclusion.

📋 Description

• Independently own complex analytics initiatives from discovery through delivery and monitoring • Build and maintain datasets, automated SQL jobs, dashboards, and reports on Databricks, SQL Server, Epic Clarity, and Tableau • Work directly with clinical, operational, product, and executive stakeholders to define requirements, KPIs, and reporting strategy • Design analytic approaches, reporting data models, and dashboard strategies • Lead analytics work to implement and evaluate AI-enabled products, including data readiness, validation, and ongoing performance measurement • Lead data validation sessions and resolve complex data-quality, logic, and reconciliation issues • Serve as the primary analytics liaison across product, engineering, vendors, data management, and operations • Design data assets and reporting logic supporting digital product implementations and automated processes • Build KPI frameworks, pre/post summaries, and leadership-ready interpretations of findings • Partner with research and data science experts for formal evaluation or advanced modeling • Provide technical guidance to analysts and contribute to documentation and validation standards • Use approved generative AI tools for summarization, drafting, and executive-ready storytelling while protecting PHI

🎯 Requirements

• 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 related work experience • 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, including 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 • Preferred experience with healthcare and electronic health record data, clinical workflows, digital product implementations, requirements gathering, stakeholder consultation, and executive communication • Preferred Epic Clarity, Cogito, or Caboodle reporting certification • Preferred Professional Scrum Master or equivalent agile certification • Preferred Tableau or Databricks certification

🏖️ Benefits

• Healthcare benefits for full-time and part-time positions from day one • Vision benefits • Dental benefits • Domestic partner benefits • Collaborative, cooperative, and collegial work atmosphere

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