Senior Business Intelligence Specialist

10 hours ago

Anand, Gujarat, India beBeeAnalytics Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.

Our data analytics and software platforms support data science, commercial operations, real world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting edge analytics from the broadest set of data sources, combined with deep technical and domain expertise.

We enable commercial excellence delivering analytical guidance to the field through SalesOps, our cloud-based sales planning and operations platform.

Position: AI/ML and Predictive Analytics Expert – Pharma Commercial Analytics

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 Experience:

  • 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.

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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