Lilly, a renowned pharmaceutical company, is offering an internship opportunity in Bangalore for individuals interested in gaining valuable experience in the field. The position is open to candidates with a degree in a quantitative discipline such as Statistics, Mathematics, Finance, Engineering, or Computer Sciences from Tier-1/2 institutes. While MBA or post-graduation is preferred, it’s not mandatory. With an experience requirement of 0-1 years, this internship provides an excellent opportunity for fresh graduates or those early in their careers to learn and grow within the pharmaceutical industry. Interns at Lilly will have the chance to work on meaningful projects, collaborate with experienced professionals, and contribute to the company’s mission of improving patient outcomes.
Company Name: Lilly
Job Role: Intern
Job Type: Internship
Education Required: Degree in quantitative discipline i.e. Statistics, Mathematics, Finance, Engineering or Computer Sciences from Tier-1/2 institutes. MBA/post-graduation will be preferred.
Experience Required: 0-1 years
Job Location: Bangalore
Role and Responsibilities:
- Build expertise on available data sets and supports data enabled decision making using patient and prescription data from external suppliers (APLD, Xponent, DDD, NPA, FIA, MMIT, etc) and internal data for various other sources.
- Ensure high stakeholder satisfaction by supporting 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, Institutional/KAM performance, customer analysis, etc.
- data support through data mining and warehousing.
- Participating in meetings with stakeholders and communicating the final outputs and recommendations.
Required Skills and Qualification:
- Degree in quantitative discipline i.e. Statistics, Mathematics, Finance, Engineering or Computer Sciences from Tier-1/2 institutes. MBA/post-graduation will be preferred.
- Experience related requirements.
- 0-1 years of analytics experience with demonstrated ability to think strategically in an ambiguous environment in analytics.
- Experience in pharma industry is preferable.
- Technical Skills.
- Strong Problem-solving skills.
- Advanced MS-office skills (MS-Excel and MS-PowerPoint).
- Experience in SQL,Python/R (preferred).
- Experience in data visualization tools e.g. Tableau/PowerBI (preferred).
- Base level knowledge of various databases including APLD, Xponent, NPA (preferred).
- VBA and MS-Access knowledge (preferred).
- 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.
