Senior Business Data Analyst

Position

Senior Business Data Analyst

Location

Nagpur/Pune/Chennai/Bangalore

Type of Employment

Full-Time

Purpose of the Position

The Senior Business Data Analyst will support commercial analytics and decision‑making within the pharmaceutical domain by translating business needs into data‑driven insights. The role focuses on sales, marketing, market access, and commercial operations analytics, enabling stakeholders to optimize performance, improve forecasting, and drive strategic outcomes.

Key Result Areas and Activities

Commercial Data Analytics & Insights

• Analyse commercial pharma datasets (sales, prescriptions, claims, market access, HCP/HCO, territory data) to generate meaningful insights

Business Requirement Translation into Data

• Partner with multiple teams within Commercial Ops to understand business questions and analytical needs.
• Analyse related data and data models to ascertain presence of required data and the data quality.
• Convert business problems into data‑driven analytical requirements, KPIs, and metrics.
• Collaborate closely with data engineers, BI developers, and analytics teams to ensure accurate implementation.

Reporting, Dashboards & KPI Enablement

• Review and validate dashboards and reports (Power BI, Tableau, MicroStrategy, etc.) to ensure accuracy, usability, and business relevance.
• Support enhancements and continuous improvement of reporting solutions.

Data Quality, Validation & Reconciliation

• Perform data validation, reconciliation, and sanity checks to ensure high data quality and consistency.
• Identify data gaps, anomalies, and upstream data issues and work with technical teams for resolution.
• Ensure trust and confidence in analytics outputs used by business stakeholders.

Stakeholder Collaboration & Delivery

• Act as a trusted analytics partner for business users.
• Support sprint planning, backlog grooming, UAT, and review cycles in Agile delivery environments.
• Ensure timely delivery of insights and continuous alignment between business expectations and analytics outputs.