Analytics Engineer I, Commercialization
Recruiter Fit Breakdown & Candid Summary
This is an entry-to-junior level Analytics Engineer role requiring 1 to 3 years of hands-on experience in data or analytics engineering.
The ideal candidate brings strong SQL proficiency, working knowledge of Python, and familiarity with dimensional modeling and modern lakehouse architectures like Databricks.
Candidates should be comfortable working in an onsite environment in Hyderabad, India, embedded within a commercial business domain.
Senior professionals or those seeking remote/hybrid arrangements should not apply, as this is an onsite junior position.
Role Responsibilities
- 1Design, build, and support analytics-ready data products, curated datasets, and reusable transformation assets within a modern lakehouse environment.
- 2Translate business and analytics requirements into clear data specifications, dimensional models, and metrics definitions.
- 3Develop and maintain scalable SQL- and Python-based transformation logic integrating pharma datasets such as claims, patient, and sales data.
- 4Implement standardized data quality checks, reconciliation logic, validation routines, and anomaly detection controls.
- 5Document data products, metric definitions, lineage, assumptions, and known limitations in accordance with governance standards.
- 6Partner with data engineers, analysts, BI developers, and business stakeholders to support dashboard and reporting use cases.
Skills Matrix
Must-Have Skills
Nice-to-Have Skills
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