Role Overview :

Manager - Pharmaceutical Data Analytics to lead data-driven business intelligence, analytics strategy, and digital transformation initiatives across pharmaceutical operations. The role will focus on leveraging advanced analytics, data platforms, and business intelligence solutions to improve operational efficiency, commercial performance, quality management, and strategic decision-making.

Key Responsibilities :

- Develop and implement enterprise data analytics strategies aligned with business objectives.

- Lead data analytics initiatives across manufacturing, supply chain, quality, R&D, finance, and commercial functions.

- Design and implement dashboards, business intelligence reports, and performance management frameworks.

- Drive advanced analytics, predictive modelling, and data-driven decision-making.

- Manage data integration, data governance, data quality, and reporting automation.

- Collaborate with IT, manufacturing, quality, regulatory, and business leadership teams.

- Drive digital transformation and analytics adoption across pharmaceutical operations.

- Ensure data integrity, security, and compliance with applicable GxP and regulatory requirements.

- Present analytical insights, business performance reports, and strategic recommendations to senior management.

Tech Stack :

- Power BI, Tableau, SQL, Python, R, SAP, ERP, MES, cloud data platforms, and ETL tools.

Education & Experience :

- B.Tech / B.E. in Computer Science, Information Technology, Data Science, or related engineering discipline.

- MBA / M.Tech in Business Analytics, Data Science, or Information Systems preferred.

- 8 - 12 years of experience in data analytics, business intelligence, data engineering, or digital transformation.

- Pharmaceutical, biotechnology, or life sciences industry experience preferred.

Key Performance Indicators :

- Analytics project delivery and business impact.

- Data accuracy and reporting efficiency.

- Dashboard adoption and automation.

- Operational cost optimization through analytics.

- Data governance and compliance performance.

- Improvement in business decision-making and productivity.