Data-Driven Insights Specialist for Global Pharma Investments

6 days ago

Bengaluru, Karnataka, India beBeePharma Full time ₹ 1,04,000 - ₹ 13,08,780
Job Description

The Global Pharma Analytics Specialist will be responsible for developing and delivering data-driven insights to inform pharma pipeline investments. This role will lead the development of analytics capabilities for the pharma pipeline in assigned therapeutic areas, including infectious diseases/HIV, immunology, cardiovascular, and ophthalmology.

  • Develop commercial insights solutions, business cases, and market evaluations to support decision-making for the pharma pipeline and business development.
  • Partner with global marketing teams, operations, and clinical to inform strategic reviews and increase commercial rigor through all phases of pipeline asset development.

Main Responsibilities:

  • Global Commercial Pipeline Analytics: Develop commercial insights solutions, business cases, and market evaluations to support decision-making for the pharma pipeline and business development.
  • Stakeholder Collaboration: Partner with global marketing teams, operations, and clinical to inform strategic reviews and increase commercial rigor through all phases of pipeline asset development.
  • Communication and Transparency: Provide transparency and commercial insights on pipeline portfolio topics related to market dynamics, competitive insights, patient journeys, access considerations, and others.
  • Analytics and Benchmarking: Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform pipeline development choices.

Requirements

  • Bachelor's degree in a scientific, engineering, or business-related field.
  • 5+ years of overall experience and 3+ years of relevant experience in marketing, clinical development, commercial/advanced analytics, asset portfolio management, strategic planning, insights syndication, or related roles within the pharmaceutical or biotechnology industry.
  • Strong problem-solving abilities to find and execute solutions to complex or ambiguous business problems.
  • Experience conducting secondary data analytics on large datasets using relevant skills such as Excel VBA, Python, SQL.
  • Deep understanding and hands-on expertise in pharma commercial data ecosystems.
  • Strategic thinker who can be consultative and engage as equals.
  • Strong communication skills using effective storytelling grounded on data insights.

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