Digital Health Analytics Analyst Senior

Location: Danville, Pennsylvania, United States

Employment Type: Full time

• 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.