Analytics Role - Pharma

Pharma Analytics

- Experience with end-to-end Sales and Marketing Analytics, Data management engagements

- Facilitate the end-to-end Commercial / SFE - Analytics - Performance reporting, Market Access, Call Plan, Territory Alignment, Incentive Compensation, Targeting

- The candidate must have strong consultative / listening skills, ability to analyze data, and translate business requirements into actionable capabilities

- Builds and models a culture of questioning and constructive challenge to foster openness and candid dialogue

- Focuses on the critical issues while prioritizing current work

- Design, apply, and interpret statistical models that help stakeholders measure and optimize promotional effectiveness

- Hands on experience in commercial organization analyses including sales force sizing, alignment and call planning and targeting

- Identifying opportunities for improving salesforce internally and informing solutions to drive field impact

- Build predictive models to quantify measurable insights, account prioritization, next-best-action, campaign optimization

- Data modeling - Segmentation, Targeting,, Promotion Response Modeling, Marketing Mix Optimization, Digital Analytics

- Lead multiple concurrent projects ensuring client requirements and timely delivery.

- Presentations and recommendations to clients on efficient customer, sales and marketing strategies and tactics

- Opportunities to improve go-to-market strategy by gaining additional insight into customer interactions and sentiment

- Lead / Hands on with Statistical and Machine Learning concepts. ML techniques and their applications to business and customer analytics problems

- Execute descriptive analyses, ranging from identifying product opportunities to understanding user behavior

- B Tech / Post Graduate in Pharmacy/Science

- 6 + years of experience in Commercial Analytics / Pharmaceutical commercial - Sales and Marketing

- Experienced in pharma data sets such as IQVIA, Symphony: Xponent, PlanTrak, NPA, DDD, LADD, FIA, Formulary data, Prescriber Dynamics, Payer, Digital Interaction data, Veeva CRM, Call Activity data

- Experience in SAS, R, and SQL, Excel

- Understanding complexity of working in an off-shore and on-shore environment

- Ability to design POCs independently, demonstrating initiative.