Analytics Transformation Leader

6 days ago

Shimoga, Karnataka, India beBeePharmaceutical Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

At our organization, we are seeking an accomplished professional with expertise in predictive analytics and AI/ML who specializes in pharma commercial analytics.

This role involves establishing and leading a capability center in India, working in close collaboration with onsite stakeholders to transition Advanced Analytics projects from the US to India.

Key Responsibilities:

  • Execute advanced secondary data analytics projects to address diverse business challenges, including HCP and patient analysis, market dynamics, customer journey insights, and managed markets analytics.
  • Act as a bridge between stakeholders, understanding business requirements, conducting relevant analyses, and delivering actionable insights.
  • Communicate effectively with stakeholders, ensuring complex analytics are translated into clear business strategies.

Required Skills and Qualifications:

  • Experience: Minimum of 8 years in Pharma Commercial Analytics.
  • Specializations:
  • Patient analytics leveraging claims and secondary market data.
  • Brand performance analytics and reporting.
  • Marketing analytics (preferred).
  • Therapeutic Expertise: Oncology, Rare Diseases, or Specialty Brands (experience in at least one required).
  • Data Proficiency:
  • Familiarity with data sources such as APLD, Specialty Pharmacy, Hub Services, and Formulary.
  • Extensive experience with pharmaceutical datasets like IQVIA (xPonent, PlanTrak, NPA, DDD, HCOS, Patient-Level data) or Symphony data.
  • Technical Skills:
  • Proficiency in Python, R, or SQL (Python preferred).
  • Qualitative Attributes:
  • Self-starter with the ability to work independently.
  • Strong communication and presentation skills, with the ability to engage executive leadership.
  • Prior experience with the Immunology market is preferred.

Benefits:

This is a unique opportunity to lead transformative projects, drive data-driven decision-making, and contribute to the success of a global pharmaceutical analytics initiative.

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