Associate Consultant, Payer Analytics

Bengaluru, India




2-4 years of experience in Pharma analytics/consulting with hands-on experience in delivering Payer Analytics projects


  • Partner with Payer Marketing teams to build a deep understanding of the managed markets environment for assigned products
  • Consult with managed market leadership to formulate strategy, identify potential tactical initiatives, enhance promotional programs, and develop metrics for measuring/improving
    program execution
  • Understand pharmaceutical ecosystem and data sets including formulary (ex. MMIT, DRG FF), prescription (ex. IQVIA NPA), outlet (ex. IQVIA DDD), claims (ex. Symphony, DRG
    Claims, IQVIA LAAD, Mckesson, Flatiron, FocalPoint)
  • Understand the client business requirements and translate it into analytics problem and develop business rules, process flow and methodology for analysis
  • Provide integrated analysis combining multiple primary and secondary data sources to uncover deep insights that will guide payer, access, and reimbursement strategies
  • Operate delivery execution. This includes processing the data, summarizing the insights, performing quality checks, and creating error free deliverables 
  • Effectively communicate insights and information to a broad group of stakeholders through exceptional oral and written communication
  • Incorporate process changes in response to evolving business needs. Identify and implement business process enhancements
  • Mentor, guide, and coach new joiners/analysts in the team
  • Play an active role in building the Payer Analytics practice and contribute to the development of thought leadership pieces in the space 

Required Skills

  •  2-4 years of analytics or consulting experience in Pharmaceutical and Life Sciences domain.
    Prior experience in Payer analytics is must 
  • Strong interpersonal and communication skills with ability to effectively collaborate with client stakeholders
  • Experience in working on data querying languages (ex. SQL, MySQL, PL/SQL), visualization tools (ex. Tableau, Qlik View, Power BI). Good to have – Python, R, SPSS etc.,
  • Well versed in advanced Microsoft Excel and PowerPoint
  • Demonstrate proficiency with secondary data sources – formulary (ex. MMIT, DRG FF), prescription (ex. IQVIA NPA), outlet (ex. IQVIA DDD), claims (ex. Symphony, DRG Claims, LAAD) and integrate therapeutic area & customer knowledge into analytic interpretations and recommendations
  • High degree of analytical and problem-solving skills with strong understanding of business strategies