Senior Data Analyst

Job Description

Experienced analytics professional with prior Pharma commercial analytics experience in the below practice areas - - Customer segmentation - Sales Force Effectiveness / Operations - Sizing, Alignment, Call Planning Candidate should be able to leverage various technology platforms Advanced Excel/VBA, Python/R & SQL. Statistical/data science packages expertise will be considered as an added advantage. Deliver various types of analytics projects, like Customer Segmentation, Alignment Design, Sizing, etc for delivering complex business operations projects, depending on the needs of the client. Proactively communicate, internally and externally with senior stakeholders within the team, ensuring that any issues / concerns are handled in a timely manner. Candidate should be a self-starter and be open to new learnings. Provide technical leadership/ mentorship to junior team members; groom them for additional responsibilities. Handle small and large datasets on projects efficiently and figure out the right technology to use for processing the data and delivering the analyses. Develop expertise in pharmaceutical datasets and be a champion within the team. Collaborate with other members within the team to innovate through automation / new ideas / capabilities / tools. Meaningfully communicate insights and information to a broad group of stakeholders (internal/external) through excellent oral and written communication. Must Have BE /B.Tech/M.Tech, MBA (Optional) with 3+ years of experience in pharmaceutical industry Experience in pharmaceutical commercial analytics is a must with know-how of common data-sets like IQVIA, Symphony Has worked on the following areas - - Customer segmentation - Sales Force Effectiveness / Operations - Sizing, Alignment, Call Planning Proficiency in handling small and large datasets through Excel/VBA, MS Access / SQL Server, R/Python Experience in incentive compensation practice is a must Hands-on experience on dedicated platforms & tools for concerned practice area is a must Strong presentation and communication skills