Director, Pharma Analytics

12 - 20 years

16 - 30 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role & responsibilities

Role: Analytics Director, Pharma Analytics

Role overview:

Key Responsibilities:

  • Lead end-to-end analytics engagements in the healthcare/pharma domain, managing cross-functional stakeholders across client and internal teams.
  • Challenge conventional analytical approaches and proactively recommend innovative strategies and methodologies.
  • Drive discovery and requirements gathering to ensure business context is accurately captured and translated into analytical solutions.
  • Generate quantitatively-driven insights to solve complex commercial problems such as targeting, segmentation, campaign analytics, omnichannel analytics and performance optimization.
  • Identify next-best actions and strategic recommendations to enhance brand performance, sales force effectiveness, launch analytics, test & control analysis, campaign effectiveness measurement etc.
  • Ensure adherence to programming standards, project documentation protocols, and system management policies across analytics workstreams.
  • Apply deep domain knowledge of pharma commercialization to design solutions aligned with industry-specific compliance, market access, and competitive dynamics.

Preferred Qualifications:

  • Bachelors or Masters degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Engineering, Computer Science) or related field
  • 12 years of Experience in commercial analytics in the pharmaceutical or healthcare domain
  • Strong understanding of pharma commercial processes such as sales force effectiveness, brand performance tracking, patient analytics, and omnichannel marketing etc.
  • Proficiency in analytical tools such as SQL, Python, Pyspark, Databricks for data manipulation and modelling.
  • Familiarity with healthcare data sources like IQVIA (Xponent, DDD, LAAD), Symphony, APLD, EHR/EMR, and claims data.
  • Proven ability to manage stakeholders and translate business needs into actionable analytics solutions.
  • Strong communication and storytelling skills to present complex insights to both technical and non-technical audiences.

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