Job Summary
Develop and deliver supply chain analytics across Business Units to drive performance visibility in areas such as lead time, delivery, logistics, working capital, and order management. Provide actionable insights and recommendations to improve profitability, customer service, and inventory outcomes.
Key Responsibilities
- Supply Chain Analytics & Reporting
- Develop and maintain analytics to track operational performance and trends
- Build and enhance reporting capabilities for key Supply Chain KPIs
- Ensure data integrity, accuracy, and consistency across reports
- Use business systems to create repeatable and scalable analytics solutions
- Data Analysis & Insights
- Analyze and interpret KPIs to identify improvement opportunities
- Conduct root cause analysis and recommend corrective actions
- Develop supply chain models for scenario analysis and decision-making
- Perform benchmarking (internal & external) to identify best practices
- Provide financial analysis to support business decisions
- Business Translation & Stakeholder Collaboration
- Understand business requirements and convert them into actionable insights
- Translate business problems into clear technical/analytics requirements
- Facilitate collaboration between business stakeholders and analytics/data teams
- Present insights and recommendations to senior leadership
- Solution Development & Validation
- Guide development of analytics/AI solutions aligned with business needs
- Validate outputs against operational and business realities
- Test solutions with end users and refine based on feedback
- Adoption & Change Management
- Drive adoption of analytics solutions across supply chain teams
- Develop training materials and user documentation
- Conduct workshops and demonstrations to enable usage
- Gather feedback and continuously improve solutions
Skills & Competencies
Technical & Functional Skills
- Supply Chain Analytics & KPI Management
- Material Planning & Inventory Optimization
- Data Analysis, Modeling & Scenario Planning
- Knowledge of BI tools (Power BI, dashboards, etc.)
- Understanding of ERP/Planning systems and data structures
- Familiarity with AI/analytics concepts and use cases
Core Competencies
- Strong analytical and problem-solving skills
- Ability to translate business needs into technical requirements
- Effective communication and stakeholder management
- Process optimization and continuous improvement mindset
- Global collaboration and cross-functional working
Preferred Knowledge
- PFEP (Plan for Every Part)
- Supply Chain Planning Tools / Advanced Planning Systems
- Exposure to digital technologies and data quality frameworks
Qualifications
- Post grad/Certificatin in Data Analytics
Experience
- Worked on Digitization or System role are preferred.
- Overall experience on 8-12 years with Supply chain and Data exposure preferred
- Experience working with global stakeholders and cross-functional teams
Internal Candidate Expectations (Additional)
- Strong system thinking (end-to-end supply chain understanding)
- Digital exposure (data, AI awareness, data quality concepts)
- Ability to work in global shifts and manage multiple stakeholders
- Experience in bridging business and analytics teams
Knowledge Areas Covered
- Supply Chain Performance & KPI Management
- Material Planning & Troubleshooting
- Data Analysis & Business Intelligence
- Continuous Improvement (Six Sigma mindset)
- Stakeholder Collaboration & Change Management
Strategic Partnership (20% of time)
Understand the business requirements and convert them into functional insights
Present insights and recommendations to senior leadership
Translation and Requirements Engineering (30% of time)
Translate business problems into clear, actionable technical requirements
Document functional specifications, success metrics, and acceptance criteria
Facilitate workshops between business stakeholders and data science teams
Ensure alignment on problem definition, data requirements, and expected outcomes
Solution Development and Validation (30% of time)
Guide AI/analytics solution development to ensure business relevance
Validate model outputs against operational reality and business logic
Interpret technical results and translate into business recommendations
Test solutions with end users and incorporate feedback
Adoption and Change Management (20% of time)
Champion analytics solutions among Supply Chain teams
Develop training materials and user documentation
Drive adoption through demonstrations and success stories
Gather user feedback for continuous improvement System
Thinking (Ability to understand and connect E2E supply chain process with business and understand interdependency, connecting with Digital Tech will be added advantage)
Digital Exposure (Familiarity with AI capabilities, limitations, and appropriate use cases (not coding expertise), Knowledge of data structures, quality requirements, and common data challenges
The Individual working in EMEA shift (12PM to 9PM) with global stake holder and across multiple functions.
Job Supply Chain Planning
Organization Cummins Inc.
Role Category On-site with Flexibility
Job Type Exempt - Experienced
ReqID 2428090
Relocation Package No
100% On-Site No
