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.

(Sr.) Associate, BI&A Data Science, will be responsible for conducting (advanced) commercial analytics at Lilly China. The role is responsible for building analytics capabilities that can drive customer experience improvement and understand business impact for go-to-market (GTM) model at Lilly China.

Responsibilities:

Business Analysis: Proactively diagnose cross-BU/brand performance and execution; lead the analytics initiatives and recommendation to impact the way business operates (Examples: Predictive Analytics, Segmentation, Hypothesis Testing, Time-series Forecasting, NLP analytics, etc.)Tracking and learning: Effectively track customer activity from customer centric perspectives (360 degree). The outcome should support BU to enhance the quality and efficiency of business decisions and channel mix.Capability Development Support: Identify and grow the affiliate’s capability in using data and analytics by identifying, sharing and training on business analysis projects (Deliverable Examples: Affiliate NGCE analytics training, project sharing & learning, etc.)Synergy with other teams (BE, OCE, MR, MOE, etc.): Keep high synergy with cross-functional teams and ensure cross channel/data analysis and provide customer centric and campaign measurement.

Education Requirements

Degree (Master preferrable) in Statistics, Data Science or other quantitative discipline i.e., Computer Sciences, Economics, Life Science, or related field.

Experience related requirements

Basic qualifications:

2+ years of strong data analytics experience with business acumen and an ability to think strategically in an ambiguous environment.Strong knowledge of advanced analytics algorithms and programming language (e.g. Python, R, etc.).Broad awareness and working knowledge of advanced analytics areas such AI. ML, NLP and Predictive Analytics.Excellent communication (written &verbal), interpersonal influencing skills and prioritization skills with attention to detail.Strong track record of supporting cross-functional teams to deliver complex analyses.High level of motivation and a strong desire to find creative solutions to challenging situations.

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.

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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