Designs and manages enterprise data, analytics, and KPI measurement frameworks to deliver reliable and automated performance insights. Acts as a bridge between data engineering and business teams to standardize metrics, develop scalable data models, and enable self-service analytics while improving reporting efficiency through automation and governance of KPI definitions.
The role requires strong expertise in reporting, Microsoft BI, and SQL Server, with working knowledge of statistical tools such as R or Python. Basic familiarity with pharmaceutical industry KPIs is also important to enable faster impact within the domain.