{"id":2575478,"url":"https://alion.io/job/cummins-supply-chain-analyst-senior","title":"Supply Chain Analyst - Senior","company":{"id":1758413,"name":"Cummins","domain":"cummins.com","url":"https://alion.io/company/cummins-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":83,"open_postings":70,"ghost_share":0,"stale_share":0.886,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Operations","role_family":"Operations","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":8500,"max_usd":20000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Power BI","optional":false}],"status":"live","first_seen_at":"2026-05-14T07:53:09Z","employer_posted_date":"2026-05-14","last_verified_at":"2026-10-25T14:52:55Z","board_verified":true,"closed_at":null,"days_open":164,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":163},"description":"Job Summary\nDevelop 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.\nKey Responsibilities\n1. Supply Chain Analytics & Reporting\nDevelop and maintain analytics to track operational performance and trends\nBuild and enhance reporting capabilities for key Supply Chain KPIs\nEnsure data integrity, accuracy, and consistency across reports\nUse business systems to create repeatable and scalable analytics solutions\n2. Data Analysis & Insights\nAnalyze and interpret KPIs to identify improvement opportunities\nConduct root cause analysis and recommend corrective actions\nDevelop supply chain models for scenario analysis and decision-making\nPerform benchmarking (internal & external) to identify best practices\nProvide financial analysis to support business decisions\n3. Business Translation & Stakeholder Collaboration\nUnderstand business requirements and convert them into actionable insights\nTranslate business problems into clear technical/analytics requirements\nFacilitate collaboration between business stakeholders and analytics/data teams\nPresent insights and recommendations to senior leadership\n4. Solution Development & Validation\nGuide development of analytics/AI solutions aligned with business needs\nValidate outputs against operational and business realities\nTest solutions with end users and refine based on feedback\n5. Adoption & Change Management\nDrive adoption of analytics solutions across supply chain teams\nDevelop training materials and user documentation\nConduct workshops and demonstrations to enable usage\nGather feedback and continuously improve solutions\n Skills & Competencies\nTechnical & Functional Skills\nSupply Chain Analytics & KPI Management\nMaterial Planning & Inventory Optimization\nData Analysis, Modeling & Scenario Planning\nKnowledge of BI tools (Power BI, dashboards, etc.)\nUnderstanding of ERP/Planning systems and data structures\nFamiliarity with AI/analytics concepts and use cases\nCore Competencies\nStrong analytical and problem-solving skills\nAbility to translate business needs into technical requirements\nEffective communication and stakeholder management\nProcess optimization and continuous improvement mindset\nGlobal collaboration and cross-functional working\nPreferred Knowledge\nPFEP (Plan for Every Part)\nSupply Chain Planning Tools / Advanced Planning Systems\nExposure to digital technologies and data quality frameworks\nQualifications\nPost grad/Certificatin in Data Analytics \nExperience\nWorked on Digitization or System role are preferred. \nOverall experience on 8-12 years with Supply chain and Data exposure preferred\nExperience working with global stakeholders and cross-functional teams\n Internal Candidate Expectations (Additional)\nStrong system thinking (end-to-end supply chain understanding)\nDigital exposure (data, AI awareness, data quality concepts)\nAbility to work in global shifts and manage multiple stakeholders\nExperience in bridging business and analytics teams\nKnowledge Areas Covered\nSupply Chain Performance & KPI Management\nMaterial Planning & Troubleshooting\nData Analysis & Business Intelligence\nContinuous Improvement (Six Sigma mindset)\nStakeholder Collaboration & Change Management\nStrategic Partnership (20% of time)\nUnderstand the business requirements and convert them into functional insights\nPresent insights and recommendations to senior leadership\nTranslation and Requirements Engineering (30% of time)\nTranslate business problems into clear, actionable technical requirements\nDocument functional specifications, success metrics, and acceptance criteria\nFacilitate workshops between business stakeholders and data science teams\nEnsure alignment on problem definition, data requirements, and expected outcomes\nSolution Development and Validation (30% of time)\nGuide AI/analytics solution development to ensure business relevance\nValidate model outputs against operational reality and business logic\nInterpret technical results and translate into business recommendations\nTest solutions with end users and incorporate feedback\nAdoption and Change Management (20% of time)\nChampion analytics solutions among Supply Chain teams\nDevelop training materials and user documentation\nDrive adoption through demonstrations and success stories\nGather user feedback for continuous improvement System\nThinking (Ability to understand and connect E2E supply chain process with business and understand interdependency, connecting with Digital Tech will be added advantage)\nDigital Exposure (Familiarity with AI capabilities, limitations, and appropriate use cases (not coding expertise), Knowledge of data structures, quality requirements, and common data challenges\nThe Individual working in EMEA shift (12PM to 9PM) with global stake holder and across multiple functions.","description_format":"text","description_chars":4979,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Supply Chain","Industrial Machinery","Automotive 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