01Overview
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
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 .
