Data Analyst: Personalization Analytics

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 Private Limited
Business Insights & Analytics – Data Analyst: Personalization Analytics
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 45,000+ 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.

Lilly Bengaluru, BI&A (Business Insights & Analytics) team was started in 2017 with the objective of supporting business decisions for the commercial and marketing functions in the US and ex-US affiliates. This team is part of the Lilly Bengaluru - Commercial Services organization and works very closely with business analytics team based in Indianapolis (HQ). The team currently comprises of ~300 team members, with varied backgrounds and skills across data visualization, data engineering, analytics, data sciences and market research. The team works across customer segments which include HCPs, Payer and HCOs, Consumer and Med Affairs.

This role is for a Data Analyst in the Personalization Analytics team, specifically focusing on building pre- & post-personalization analytics tools using 1st party data. The team analyses data to help measure, inform and advise on personalized journeys and experiences we are trying to enable for our customers (across HCP, consumer and medical affairs) to create the best in any class customer experience.

Core Responsibilities

• Collaborate with brand, marketing, product, IT and other stakeholders to understand their data needs and provide data driven solutions
• Share findings from analysis along with recommendations to a wide variety of business and technical stakeholders
• Extract actionable insights from customer engagement data (web, digital & clinical) to improve marketing strategies, customer experiences, and business processes.
• Help with the implementation of predictive models used to make real-time decisions with the Adobe Orchestration tools (RT-CDP/AJO)
• Measure the performance of personalized customer experiences, and identify and recommend opportunities for refinement and optimization
• Embrace a product mindset to drive efficiency and scale within analytics
• Stay up to date in the ever-changing ad-tech/mar-tech ecosystem and identify areas to drive more data driven thinking throughout the organization

Required

• 4-8 years of relevant experience
• Hands-on experience with SQL. Working knowledge of R or Python are good to have but not mandatory
• Demonstrated history of breaking down unstructured business problems and translating them to more tangible problem-solving approaches
• Experience in gathering business requirements, transforming data and preparing readout and recommendation narratives from Analytics to share with Business users
• Proven experience working with Customer Data Platforms (CDP) or Data Management Platform (DMP) or CRM tool is preferred
• Strong working knowledge of visualization tools (PowerBI preferred)
• Comfort with ambiguity and a willingness to work with a high degree of autonomy
• Demonstrated experience working in cross-functional, cross-geography teams

Preferred Qualifications

• Experience in Data and/or Business Analytics from Healthcare/Pharma/Retail/BFSI/Digital/ Media Ad companies
• Experience with Adobe Experience Platform (AEP) tools – Customer Journey Analytics (CJA - Preferred) / Real Time – Customer Data Platform (RT-CDP) / Adobe Journey Optimizer (AJO) / Target
• Bachelor's degree (or) Master's degree in technology, Statistics or Computer Science background

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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.