Job Description

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

Monster