Analyst - Advanced Analytics, GIC SC Analytics

General Mills; Mumbai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

General Mills in Mumbai seeks an Analyst to leverage data science for supply chain challenges, including data analysis, model development, and scenario planning. You will focus on modeling efficiency and automate workflows under supervision, working in a 1:30pm–10:30pm shift.

The role requires 2+ years in supply chain analytics, strong statistical and optimization skills, and hands-on experience with Python, SQL and BigQuery. Collaboration across functions is essential.

Qualifications

• Bachelor's degree in a quantitative field.
• 2+ years of related experience in supply chain analytics.
• Knowledge of statistical modeling and optimization.
• Proficiency in Excel Macros and PowerPoint for data analysis.
• Experience with Python, Dash, SQL and BigQuery is preferred.
• Self-driven, adaptable and able to collaborate across functions.

Responsibilities

• Translate supply chain objectives into analytical scope and success criteria.
• Cleanse and explore data to identify trends and root causes; build models under guidance.
• Conduct scenario planning and sensitivity analysis for clear insights.
• Drive process automation and identify opportunities to streamline workflows.

Skills

Statistical modeling

Optimization

Data analysis

Excel macros

PowerPoint

Python

Dash

SQL

BigQuery

Automation

Education

Bachelor's degree in Business Analytics, engineering, statistics or related quantitative field

Tools

Excel Macros

PowerPoint

Python

Dash

SQL

BigQuery

Job description

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.

OVERVIEW

In this role, the Analyst key responsibilities involve leveraging data science to solve supply chain challenges. This includes data analysis, model development (descriptive, diagnostic, predictive, prescriptive), and scenario planning. Focus on improving modeling efficiency through automation. Finally, under supervision of project leads manage projects to deliver timely and impactful solutions. This role requires to operate in 1.30pm to 10.30 pm shift.

KEY ACCOUNTABILITIES

• 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 under guidance.
• Conduct scenario planning and sensitivity analysis to present information in a structured and understandable manner.
• Drive process automation, identify opportunities to automate workflows and eliminate redundant tasks

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.
• 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: Bachelor's degree from accredited university (Full Time) in Business Analytics, engineering, statistics or a related quantitative field.
• Experience: 2+ years of related experience in Supply chain analytics
• Technical Skills: Knowledge of statistical modeling, optimization
• Technical Skills: Proficiency in Excel Macros and PowerPoint, leveraging advanced functions for data analysis, visualization, and effective business storytelling
• Technical Skills: Python, Dash or similar visualization tools, SQL, and cloud platforms such as BigQuery (nice to have)
• Soft Skills: Self-driven, adaptable, accountable, and comfortable collaborating across functions and locations.

PREFERRED QUALIFICATIONS

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

ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.