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 Supply Chain Analytics & ReportingDevelop and maintain analytics to track operational performance and trendsBuild and enhance reporting capabilities for key Supply Chain KPIsEnsure data integrity, accuracy, and consistency across reportsUse business systems to create repeatable and scalable analytics solutions Data Analysis & InsightsAnalyze and interpret KPIs to identify improvement opportunitiesConduct root cause analysis and recommend corrective actionsDevelop supply chain models for scenario analysis and decision-makingPerform benchmarking (internal & external) to identify best practicesProvide financial analysis to support business decisions Business Translation & Stakeholder CollaborationUnderstand business requirements and convert them into actionable insightsTranslate business problems into clear technical/analytics requirementsFacilitate collaboration between business stakeholders and analytics/data teamsPresent insights and recommendations to senior leadership Solution Development & ValidationGuide development of analytics/AI solutions aligned with business needsValidate outputs against operational and business realitiesTest solutions with end users and refine based on feedback Adoption & Change ManagementDrive adoption of analytics solutions across supply chain teamsDevelop training materials and user documentationConduct workshops and demonstrations to enable usageGather feedback and continuously improve solutions Skills & Competencies Technical & Functional Skills Supply Chain Analytics & KPI ManagementMaterial Planning & Inventory OptimizationData Analysis, Modeling & Scenario PlanningKnowledge of BI tools (Power BI, dashboards, etc.)Understanding of ERP/Planning systems and data structuresFamiliarity with AI/analytics concepts and use cases Core Competencies Strong analytical and problem-solving skillsAbility to translate business needs into technical requirementsEffective communication and stakeholder managementProcess optimization and continuous improvement mindsetGlobal collaboration and cross-functional working Preferred Knowledge PFEP (Plan for Every Part)Supply Chain Planning Tools / Advanced Planning SystemsExposure 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 preferredExperience 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 stakeholdersExperience in bridging business and analytics teams Knowledge Areas Covered Supply Chain Performance & KPI ManagementMaterial Planning & TroubleshootingData Analysis & Business IntelligenceContinuous 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 .