Specialist, Analytics Engineer
Core
Design, develop, and support analytical data products providing visibility into the end-to-end patient journey across Patient Support Services, Specialty Pharmacy, and Hub Operations ecosystems.
Role type
Senior Analytics Engineer (Healthcare Data)
Builds
Scalable data pipelines, automated data models, curated datasets, and semantic layers for reporting, analytics, and AI use cases.
Domain
Healthcare / Pharmaceutical / Patient Services
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Cloud data platforms (Databricks, Snowflake, Azure, AWS, Redshift), Data modeling, Data pipeline development, Data governance, Data quality control, Patient journey analytics, Feature engineering
Preferred skills
Specialty Pharmacy networks knowledge, Healthcare data standards, Modern data stack orchestration, Power BI/ThoughtSpot, AI/GenAI data foundations, Scrum/SAFe
Technologies
Databricks, Snowflake, Azure, AWS, Redshift, Power BI, ThoughtSpot
Responsibilities
Build and maintain analytical data products for Patient Support Services and Specialty Pharmacy; Develop scalable data pipelines and semantic layers; Integrate patient-level data across multiple healthcare sources; Enable analytics across the pre- and post-prescription patient journey; Perform data profiling, validation, and root-cause analysis; Partner with stakeholders to define KPIs and business definitions.
Seniority
Senior, hands-on IC