Lilly Hiring 2026 – Supply Chain Analytics Manager Jobs in Bengaluru
Lilly (Eli Lilly and Company) is hiring experienced professionals for the position of Sr. Manager / Manager – Supply Chain Analytics in Bengaluru, India.
The role is part of Lilly’s Business Intelligence Center of Excellence (COE) and focuses on using analytics, data engineering, AI/ML and business intelligence to support global supply chain operations.
Professionals with 5–10 years of experience in supply chain analytics, planning or related areas can apply.
About Lilly
Lilly is a global pharmaceutical company focused on discovering and delivering medicines for patients around the world.
The company combines pharmaceutical research, technology, data and operational capabilities to support the development and delivery of medicines across global markets.
The Bengaluru opportunity sits within the company’s broader Business Intelligence and Global Supply Chain organization.
Job Overview
| Particular | Details |
|---|---|
| Company | Lilly |
| Position | Sr. Manager / Manager – Supply Chain Analytics |
| Department | Business Intelligence COE / Global Supply Chain |
| Location | Bengaluru, India |
| Experience | 5–10 Years |
| Qualification | Bachelor’s / Master’s degree |
| Employment Type | Full-time |
| Requisition ID | R-111810 |
| Application Deadline | September 28, 2026 |
Role Overview
The Sr. Manager / Manager – Supply Chain Analytics will provide technical and analytical expertise across areas such as:
- Supply chain analytics
- Supply chain planning
- Global logistics
- Business intelligence
- Data engineering
- Statistical modelling
- AI/ML
- Supply chain optimization
The position will support stakeholders across manufacturing sites, affiliates, hubs, regions and zones.
Key Skills & Qualifications
Candidates should have:
Education
- Bachelor’s or Master’s degree in:
- Supply Chain
- Operations
- Data Science
- Or a related field
Experience
- 5–10 years of experience in supply chain analytics, planning or a related domain
Technical Skills
- Power BI
- Microsoft Fabric
- DAX
- Power Query
- SQL
- Python / R
- AI/ML and advanced analytics
Supply Chain Systems
Experience with enterprise resource planning and supply chain platforms such as:
- Kinaxis
- SAP IBP
- EWM
- TMS
Additional Experience
- Pharmaceutical or life sciences experience is preferred
- Manufacturing-site exposure is an advantage
- APICS / CSCP certification is preferred
- Experience working in global, matrix-based organizations
Candidates should also demonstrate strong analytical thinking, problem-solving, stakeholder management and communication skills.
Key Responsibilities
The selected professional will be responsible for activities including:
Supply Chain Analytics
- Provide advanced analytics support to global supply chain stakeholders
- Convert complex supply chain data into actionable insights
- Develop analytical solutions for business requirements
- Lead root-cause analysis of analytics-related issues
Business Intelligence & Reporting
- Design enterprise-level Power BI dashboards
- Develop KPI reporting solutions
- Improve reporting accuracy and usability
- Support self-service analytics capabilities
- Build robust semantic data models
Data Engineering & Automation
- Develop scalable ETL pipelines
- Support Enterprise Data Lake initiatives
- Implement automation using:
- Python
- SQL
- Power Automate
Supply Chain Transformation
- Support EWM and TMS-related data initiatives
- Collaborate with global planners and operations teams
- Work closely with IT and business partners
- Develop optimization models
- Identify opportunities for continuous improvement
Technology & Analytics Exposure
This position combines several high-value technology areas, including:
Power BI + Microsoft Fabric + SQL + Python/R + AI/ML + Data Engineering + Supply Chain Systems
Professionals can work at the intersection of pharmaceutical supply chain operations, business intelligence and advanced analytics.
Global Supply Chain Exposure
The role involves collaboration with teams across a global supply chain environment.
Potential areas of exposure include:
- Manufacturing operations
- Global planning
- Logistics
- Supply chain technology
- Business intelligence
- Data transformation
- Analytics-driven decision-making
Benefits & Career Exposure
The supplied job information highlights opportunities for:
- Working with a global pharmaceutical organization
- Exposure to advanced supply chain analytics
- AI/ML and business intelligence projects
- Career development in Global Supply Chain
- Professional learning and development
- Collaboration within a global organization
- Participation in projects supporting medicine supply
How to Apply for Lilly Supply Chain Analytics Job
Interested candidates should apply through the official Lilly careers portal.
Position
Sr. Manager / Manager – Supply Chain Analytics
Requisition ID
R-111810
Location
Bengaluru, India
Application Deadline
September 28, 2026
Candidates should review the complete official job description and eligibility requirements before submitting their application.
Official Application
Use the official Lilly careers listing for the position and search for Requisition R-111810.
The application should be submitted through Lilly’s official careers platform rather than through an unofficial recruiter or third-party application page.
Important Dates
Application Deadline:
September 28, 2026
This is an application-based position; the supplied information does not indicate a walk-in interview.
Who Should Apply?
This opportunity is relevant for professionals with backgrounds in:
- Supply chain analytics
- Supply chain planning
- Operations analytics
- Data science
- Business intelligence
- Supply chain technology
- Pharmaceutical manufacturing analytics
- Global logistics analytics
Candidates should have the required 5–10 years of experience and relevant technical expertise.
Frequently Asked Questions
1. What is the position at Lilly?
The position is Sr. Manager / Manager – Supply Chain Analytics.
2. Where is the job located?
The position is based in Bengaluru, India.
3. How much experience is required?
Candidates should have approximately 5–10 years of experience in supply chain analytics, planning or a related field.
4. What qualifications are required?
A Bachelor’s or Master’s degree in Supply Chain, Operations, Data Science or a related field is required.
5. What technical skills are important?
Key skills include Power BI, Microsoft Fabric, DAX, Power Query, SQL, Python/R and AI/ML.
6. Which supply chain systems are relevant?
Experience with systems such as Kinaxis, SAP IBP, EWM and TMS is relevant to the position.
7. Is pharmaceutical experience mandatory?
Pharmaceutical or life sciences experience is preferred, while manufacturing-site exposure is also considered an advantage.
8. What is the Lilly job requisition number?
The requisition ID is R-111810.
9. What is the application deadline?
The supplied posting lists September 28, 2026 as the application deadline.
