Job Description

Build and exhibit deep expertise on available pharma data sets and supports data enabled decision making using patient and prescription data from external suppliers (IQVIA LAAD, MMIT, etc.) and internal data (like Engagement activity) Consistent delivery of high quality, timely and insightful outputs throughout analytics value chain on various objectives related to Patient journey, multichannel engagement, segmentation, targeting, etc. e.g. analysis on source of business, persistency, test and control, engagement segmentation, channel spend optimization, trade off analysis, etc. Performance analytics for dashboards and reports pertaining to Lilly brand performance, market monitoring, new brand launch performance trackers, customer analysis, etc. Developing into a trusted advisor by actively participating in various phases of the project including kick-off, methodology development, execution, insight generation and data visualization and results presentation to various stakeholders Participating in meetings with stakeholders and communicating the final outputs and recommendations Education: Undergraduate degree in a quantitative field (e.g. Engineering, Maths, or Statistics) from a Tier-I institution; MBA or advanced degree is a plus Experience related requirements 2+ years of analytics experience preferable but not mandatory Demonstrated ability to think strategically while solving ambiguous, open-ended problems Experience in pharma industry and APLD datasets like IQVIA LAAD is preferable Experience in SQL is required along with one visualization tool (like Tableau/PowerBI); knowledge of other programming languages like R and Python are encouraged Soft Skills Strong work ethic and personal motivation Good presentation skills Interpersonal and communication skills with ability to work across time zones Ability to operate effectively in an international matrix environment Strong stakeholder management skills Strong team player who is dynamic and result oriented