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 and business insights.
Role type
Analytics Engineer I (Commercialization)
Builds
Analytics-ready datasets, dimensional models, and transformation assets for commercial reporting and self-service analytics.
Domain
Pharmaceutical commercialization and data engineering
Deliverable
production ML models
Required skills
SQL, Python, dimensional modeling, ETL/ELT patterns, lakehouse concepts, Databricks, Delta Lake, data quality practices, Git/version control
Preferred skills
Commercial pharma datasets experience, BI/reporting use cases, semantic layer design
Technologies
Databricks, Delta Lake, Tableau, Power BI
Responsibilities
Design and build analytics-ready data products and curated datasets; Translate business requirements into data specifications and metric definitions; Develop scalable SQL and Python transformation logic; Implement data quality checks and validation routines; Document data products, lineage, and assumptions; Partner with data engineers, analysts, and business stakeholders to support dashboard use cases.
Seniority
Junior, hands-on IC