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Business Analyst - Pharma Commercial Analytics

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Onsite

Business Analyst - Pharma Commercial Analytics

Virtusa

Business Analyst - Pharma Commercial Analytics

Skills

SQL QueriesTableauPythonRSnowflakeDatabricksData AnalysisMachine LearningAIAWSCRMSalesforceCompliancePower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹2,000,000 – ₹3,000,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

31 August 2026

What they need


  • 8–10 years of overall experience, with a minimum of 5–6 years in pharmaceutical, biotech, or life sciences commercial operations and analytics — gained at a consulting firm (e.g., ZSAssociates, IQVIA, Axtria, Cognizant), a pharma manufacturer, or a specialized commercial analytics vendor.
  • Hands-on experience across at least two of: salesforce effectiveness, incentive compensation management, forecasting, market/patient-level data analytics, segmentation & targeting, or omnichannel marketing analytics.
  • Strong working knowledge of pharma commercial data ecosystems — IQVIA Xponent/DDD, Symphony Health, claims (medical/pharmacy), specialty pharmacy, CRM/Veeva, and syndicated market data.
  • Proficiency in SQL and at least one analytics/statistical tool (Python, R, or SAS); experience with a BI platform such as Power BI, Tableau, or Qlik.
  • Demonstrated experience managing client relationships directly, including running workshops, presenting to senior stakeholders, and owning workstream delivery.
  • Strong structured problem-solving and storyline development skills — able to move from ambiguous business questions to clear, defensible recommendations.
  • Excellent written and verbal communication skills; comfortable creating and delivering executive-ready presentations.
  • Bachelor's degree in a quantitative, life sciences, engineering, or business discipline; MBA or advanced degree preferred.
  • Prior experience at a top-tier pharma commercial analytics or consulting firm.
  • Exposure to AI/ML-enabled commercial use cases — next-best-action, propensity modeling, or GenAI-assisted insight generation.
  • Experience with cloud data platforms (Snowflake, Databricks, AWS/Azure) supporting commercial analytics.
  • Familiarity with pharma compliance and regulatory considerations affecting commercial data use (HIPAA, GDPR, Sunshine Act).
  • People management experience — leading or mentoring a pod of 2–4 analysts/consultants.

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