G
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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