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Senior Analyst- Supply Chain Advanced Analytics

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Hybrid

Senior Analyst- Supply Chain Advanced Analytics

General Mills

Senior Analyst- Supply Chain Advanced Analytics

Skills

Data ScienceData AnalysisMachine LearningProcess ImprovementSupply Chain

2 months ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Hybrid

Published on:

9 September 2026

What they need


Key Accountabilities

Analytics & Modeling:

  • Understand business objectives Analyze supply chain challenges, define scope, and set success criteria.
  • Data feasibility assessment – Evaluate completeness, availability, and accuracy of supply chain data.
  • Data processing & cleansing – Handle missing data, outliers, and inconsistencies to ensure data integrity.
  • Exploratory analysis – Conduct exploratory data analysis (EDA) to uncover trends and root causes.
  • Develop & implement data science models – Apply descriptive, diagnostic, predictive and prescriptive analysis through statistical, optimization, or machine learning techniques to solve key supply chain problems.
  • Scenario planning & sensitivity analysis – Perform "What-If" analysis to evaluate business impact under different scenarios.
  • Independent problem-solver – Effectively executes tasks with minimal supervision while ensuring high productivity.
  • Manages moderately complex projects – Handles challenging but structured analytical problems, ensuring timely and impactful solutions.

Process Improvement:

  • Enhance modeling efficiency – Drive process automation, identify opportunities to automate workflows and eliminate redundant tasks
  • Mentorship & validation – Guides analysts, reviews their work, and ensures analytical rigor in deliverables.

Minimum Qualifications

  • Bachelor’s degree from accredited university (Full Time) in Business Analytics or a related subject area
  • +3 years of related experience in Supply chain analytics
  • Strong analytic ability to translate business ask into mathematical model and ability to think “out of the box” & strong analytical skills.
  • Proficiency in Excel and PowerPoint, leveraging advanced functions for data analysis, visualization, and effective business storytelling

Preferred Qualifications

  • Post graduation in Industrial Engineering, statistics or Supply Chain operations
  • Professional Certifications for supply chain and Data science
  • Learning Agility – driven by curiosity and a passion for continuous learning, always seeking to understand the "why" behind concepts

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