Sr. Manager/Manager - Supply Chain Analytics
Eli Lilly and CompanyMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand, metro location, mid-level analytics role, and common BI/ML skills increase candidate competition.
Analytics skills transfer across industries, but supply chain and pharma domain knowledge moderately restrict fit.
Explicit 5–10 years plus mandatory BI, ERP, SQL/Python, and domain experience makes screening stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Lead advanced analytics projects to enhance operational efficiency and support data-driven decision-making across the global supply chain.
Design and deliver enterprise-grade Power BI dashboards for real-time visibility into key supply chain KPIs across global operations.
Build and operationalize scalable ETL pipelines and data models; drive automation and continuous improvement initiatives in supply chain analytics.
Minimum Requirements
Bachelor’s or Master’s degree in Supply Chain, Operations, Data Science, or related field.
5–10 years of experience in supply chain analytics, planning, or related domain.
Proficiency in advanced data visualization and transformation tools such as Power BI, DAX, Power Query; experience with ERP/planning systems like SAP IBP, Kinaxis, EWM, TMS.
Experience with AI/ML, SQL, Python/R and working in a global, matrixed organization.
Ideal Candidate Profile
Experience in Pharma/Life Sciences supply chain or manufacturing site environment preferred.
Proven ability to lead cross-functional analytics initiatives and manage stakeholders in a global setting.
Strong analytical and problem-solving skills with expertise in supply chain end-to-end processes, data engineering, and automation.