Pharma Data Analyst

1 week ago

Bengaluru, Karnataka, India Lilly Full time
About Lilly

We're a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease.

At Lilly, we unite caring with discovery to make life better for people around the world. We're looking for professionals interested in driving cutting-edge technology-driven business operations, with a focus on quality assurance and continuous improvement.

Omnichannel Recommendation Engine Platform

We have embarked on building and in-housing a state-of-the-art platform to enable more agile sales and marketing operations. This platform will ingest a wide variety of data sources, run advanced personalized marketing models, and integrate seamlessly with all other Lilly SF and marketing operations platforms to provide recommendations on 'what should we do next' to the sales and marketing teams at the individual doctor level, enabling better decision making and improving customer experience.

Job Description

We are looking for experienced analysts who will use various data (including customer 360, market and product sales, prior channel activity and affinities) to maintain, update, assess and fine-tune the performance of the underlying machine learning algorithms that drive personalized recommendations for all key brands for IBU Eli Lilly.

  • Maintain stable and scalable solutions to extract data from diverse systems, cleanse and transform extremely large data sets into actionable business information.
  • Write and tune complex SQL queries in a highly dynamic environment.
  • Utilize knowledge of ML techniques (esp. Neural networks and Genetic Algorithms) to ensure that models are updated that models being used for the recommendation engine are to some extent 'explainable.'
  • Use knowledge of therapeutic area, market events, customer universe and available activity and affinity data, along with guidance from the Advanced Analytics and Data Science team (AADS) to implement alternate advanced analytical and statistical techniques as and when needed to test and validate models embedded in the personalization platform.
Required Skills and Qualifications

We require professionals with 3+ years of in-depth hands-on experience with handling pharma data, including but not limited to, market basket and sales data, customer 360 profiling, channel activity data (sales rep calls, email campaigns, etc).

  • Strong coding experience in R or Python.
  • Creative problem solving, organization, attention to detail, flexibility and adaptability.
  • Comfort with ambiguity and a willingness to work with operational teams to ensure timely deployment and marketing and strategic teams to ensure simplified communication of 'black box' ML models.
  • Strong understanding, through extensive prior delivery and leadership, of how Big Data platforms and data services fit into AI-driven personalized/omnichannel marketing operations.
Salary and Benefits

We offer a competitive salary range of $85,000 - $110,000 per year, depending on experience and qualifications, plus benefits such as health insurance, retirement plan, and paid time off.

Education and Experience

Bachelor's degree or master's required. Prior experience using ML techniques to deploy, assess performance and fine-tune recommendation engine models is preferred.

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