Sr Analyst Advanced Analytics Supply Chain

General Mills; Mumbai; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

General Mills seeks a data analytics professional to translate supply chain objectives into analytical scope and define success criteria. You will cleanse data, explore trends, and develop statistical, optimization, or machine learning models to drive impactful outcomes.

The role includes scenario planning, sensitivity analysis, and independent management of moderately complex projects. You will mentor analysts and automate workflows to improve efficiency across Plan, Source, Make, and Deliver

Qualifications

• Experience with data analytics in supply chain context and 3+ years in a related role.
• Strong knowledge of statistical modeling, optimization, and machine learning concepts.
• Proficiency in Python, SQL, and data visualization tools.

Responsibilities

• Translate supply chain objectives into analytical scope and define success criteria.
• Cleanse and explore data to identify trends and root causes, building models.
• Perform scenario planning and sensitivity analysis on moderately complex projects.
• Improve modelling efficiency through automation and mentor analysts.

Job description

Role & responsibilities

• Translate supply chain business objectives into analytical scope, assess data feasibility, and define success criteria.
• Cleanse and explore data to identify trends and root causes, then develop statistical, optimization, or machine learning models.
• Conduct scenario planning and sensitivity analysis while independently managing moderately complex analytical projects to deliver impactful solutions.
• Improve modelling efficiency through automation, eliminate redundant workflows, and mentor analysts by validating analytical deliverables.

Domain Expertise

• Plan: Supply and production planning; capacity, demand, and inventory planning; make-versus-buy decisions; service-level optimization and cost trade-offs.
• Source: Procurement process optimization; cost-saving and efficiency opportunities; financial, geopolitical, and environmental, social, and governance risk assessment; supplier sustainability and carbon-footprint tracking.
• Manufacturing and Engineering (MaKE): Manufacturing performance improvement and waste reduction; failure-mode analysis; anomaly detection; predictive maintenance; root-cause analysis; predictive and prescriptive downtime reduction.
• Network: Network design and distribution; facility location; greenfield and brownfield analysis; transportation and logistics planning; route optimization; cross-docking; push, pull, and postponement replenishment strategies.
• End-to-End & Operating Unit: Understanding of the Plan, Make, Source, and Deliver pillars; ability to connect cross-functional priorities; holistic solution mindset; awareness of key supply chain metrics, including service, cost of goods sold, and waste.

MINIMUM QUALIFICATIONS

• Education: Bachelors degree from accredited university (Full Time) in Business Analytics, engineering, statistics or a related quantitative field.
• Experience: 3+ years of related experience in Supply chain analytics
• Technical Skills: Any optimization tool like Supply Chain Guru/Optilogic/Any logic (Nice to have)
• Python, Dash or similar visualization tools, SQL, and cloud platforms such as BigQuery
• Knowledge of statistical modeling, optimization, machine learning
• Proficiency in Excel and PowerPoint, leveraging advanced functions for data analysis, visualization, and effective business storytelling

Preferred candidate profile

• Post graduation in Industrial Engineering, statistics or Supply Chain operations
• Professional Certifications for supply chain and Data science