Analytics Engineer I , Commercialization
Core
Design, build, and support analytics-ready data products, curated datasets, and reusable transformation assets within a modern lakehouse environment to enable commercial reporting, self-service analytics, and business insights.
Role type
Analytics Engineer I (Commercialization)
Builds
Analytics-ready datasets, curated data products, and transformation assets for commercial business domains
Domain
Pharmaceutical / Commercial Analytics
Required skills
SQL, Python, dimensional modeling, ETL/ELT patterns, data quality practices, data governance, Git/version control, CI/CD concepts
Preferred skills
Databricks, Delta Lake, lakehouse architecture, commercial pharma datasets (claims, sales, payer), semantic layer design
Technologies
Databricks, Delta Lake, Tableau, Power BI
Responsibilities
Design and build analytics-ready data products and reusable transformation assets; Translate business requirements into data specifications and metric definitions; Develop scalable SQL and Python transformation logic for pharma datasets; Implement data quality checks, validation routines, and anomaly detection controls; Document data products, lineage, and assumptions; Partner with data engineers, analysts, and business stakeholders to support dashboard and reporting use cases
Seniority
Junior to Mid-level, hands-on IC