Eli Lilly

Cardiometabolic Health HCP Analytics - Data Analyst

Bengaluru, India
Streaming SQL R Python
Description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Eli Lilly Services India Pvt Ltd 

Cardiometabolic Health HCP Analytics Team: Data Analyst 

At Lilly, we unite caring with discovery to make life better for people around the world. We are 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. We’re looking for people who are determined to make life better for people around the world. 

The LCCI (Lilly Capability Center India) Business Insights & Analytics team was started in 2017 with the objective of using innovative data mining and analytics to support business decisions to Marketing and Access functions in the US and ex-US affiliates (focused on in-line and pre-launch brands). This team has rapidly grown and currently comprises of more than 100 staff members, with varied backgrounds and skills across data management, data sciences, analytical techniques, pharmaceutical commercial operations, and business insights. The team provides analytics outcomes for driving decision making across Lilly’s Marketing, Sales, Payer Access, Medical Affairs, and a range of other functions. 

To support these teams in their decision-making, a data and analytics team has been set up simultaneously in Indianapolis (HQ) and Bengaluru (LCCI). This team is responsible for setting up the data warehouses necessary to handle large volumes of digital streaming data, create meaningful analyses using that data, and deliver recommendations to leadership. 

As part of the LCCI team, we have an exciting opportunity for the role of a Cardiometabolic Health Data Analyst who will be an integral part of the HCP analytics within BI&A. The analyst will be a part of a team comprising of creative problem solvers who support analytical decision making of Lilly Cardiometabolic Health Brands in the US market. The ideal candidate should thrive in a fast paced environment, be focused on delivering insights to support our brand goals, have strong collaboration and communication skills and continuously strive for process improvements and innovation. 

Key Responsibilities:

  • Project Execution: as individual contributor, responsible for
    • 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

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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