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

Supply Chain Analyst - Senior