Supply Chain Analyst - Senior

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

1. 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

2. 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

3. 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

4. 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

5. 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

Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.
Responsibilities:

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

Qualifications:

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.