Analytics Engineer I, Commercialization

Overview

Early-career Analytics Engineer on the Commercial Data & AI team in Hyderabad, building and supporting the Databricks analytics layer that connects curated data to dashboards, self-service BI and advanced analytics for an assigned Commercial business domain, under the guidance of senior engineers.

What you'll do

• Design, build and support analytics-ready data products, curated datasets and reusable transformation assets within a modern lakehouse environment.
• Translate business and analytics requirements into data specifications, dimensional models, metrics definitions and dataset readiness criteria.
• Develop and maintain scalable SQL- and Python-based transformation logic integrating pharma datasets such as claims, patient, sales, payer, HUB and specialty pharmacy data.
• Apply internal accelerators, reusable code patterns, templates and engineering guardrails.
• Create analytics-friendly models, including fact and dimension tables, cross-domain joins, slowly changing dimensions and business-rule-driven metrics.
• Implement standardized data quality checks, reconciliation logic, validation routines and anomaly detection controls.
• Document data products, metric definitions, lineage, assumptions and known limitations per internal documentation and governance standards.
• Work as part of a deployed engineering team alongside an assigned Commercial domain, partnering with data engineers, analysts, BI developers and business stakeholders.
• Apply data governance standards, access controls and compliant handling practices for sensitive and regulated data, including PII/PHI awareness.

Details

• Location: Hyderabad, Telangana, India.
• Work model assigned per core responsibilities; see the employer's ways-of-working guidance.