Job
Description
The Business Insights & Analytics group already provides broad and deep analytical expertise and operational support to a range of functions and has built similar capability for Medical Affairs. This role, the BI&A Medical Affairs Analyst will work on a range of RWD sources and apply analytical/statistical methodologies, while always striving for process improvement, innovation in close collaboration with the other analytics teams. Key Roles and Responsibilities Project Execution : primary owner of the following tasks Build deep expertise on necessary data sets and supports data enabled decision making using a range of RWD sources (claims databases, EMR/EHR/Lab etc) and internal Lilly data (Veeva, Customer 360 etc) Ensure high stakeholder satisfaction through consistent delivery of high quality, timely and insightful outputs throughout analytics value chain on various objectives related to the patient journey, unmet needs, omnichannel engagement, segmentation, targeting, and data support through data mining and warehousing Develop 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 Project management : support the team leader as needed on the below tasks Creation and maintenance of standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs Shared learning forums to identify challenges and establish best practices Expansion of analytical capability of the team by taking on more complex projects and delivering value Process improvements and implementation of analytical best practices Education/Experience Requirements Undergrad in quantitative field (Engg, Math/Stats, quant economics/econometrics etc) 3-6 years of analytics experience with demonstrated ability to think strategically in an ambiguous environment in analytics, especially in pharma/other lifesciences Prior experience of working on a range of pharma/healthcare data sets highly preferred, especially a variety of RWD, including but not limited to syndicated insurance claims databases (IQVIA, Symphony, etc), EMR/EHR/Lab data (IBM MarketScan, Prognos etc), National/international patient registries Prior experience in therapy areas including Cardio Metabolic Health, Immunology, Oncology, Neuroscience or related areas is highly preferred Coursework/qualifications in analytics, statistics, RWE generation, quantitative health economics, patient outcomes will be a plus Technical Skills Strong experience in SQL; fluency in one of R/Python Hands-on experience with at least 1 data viz tool like Tableau, PowerBI etc Advanced MS-office skills (MS-Excel and MS-PowerPoint) 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
