Sr Analyst - Advanced Analytics, GIC SC Analytics

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

Job summary

General Mills in Mumbai is seeking a Senior Analyst in Supply Chain Analytics to turn complex questions into actionable data-driven insights across the global manufacturing network.

You will work with SQL, Python, and BigQuery to optimize plant productivity, leading analytics projects, building dashboards, and mentoring junior analysts while collaborating with cross-functional teams in an Agile environment.

Qualifications

• Bachelor's degree in a relevant field (e.g., Engineering, Statistics, Mathematics, Operations Research, Computer Science)
• 2-5 years of experience in data analytics or engineering, preferably in manufacturing or supply chain
• Proficiency in SQL and Python programming. Strong analytical and problem-solving skills
• Excellent communication and collaboration skills

Responsibilities

• Translate business objectives into analytical problems, project scopes, success criteria, and feasible data requirements for manufacturing and supply chain initiatives.
• Extract, cleanse, and analyze manufacturing data using SQL, Python, and BigQuery to identify trends, drivers, and root causes.
• Develop and apply statistical, optimization, predictive, prescriptive, and machine learning models to improve performance, reliability, maintenance, and waste.
• Build and maintain dashboards, reports, and self-service analytics solutions using Python, Dash, GitHub, and DevOps practices, with strong data quality, automation, version control, and production deployment.
• Independently deliver moderately complex projects, partner with plant and business stakeholders, communicate results, demonstrate business impact, follow Agile practices, and mentor analysts while ensuring analytical rigor.

Skills

SQL

Python

Education

Bachelor's degree in Engineering/Statistics/Mathematics/Operations Research/Computer Science

Master’s degree (preferred)

Tools

BigQuery

Dash

GitHub

DevOps

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.

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

As a Senior Analyst in Supply Chain Analytics, you will turn complex supply chain questions into practical, data-driven solutions that improve business decisions and operational efficiency. To leverage advanced analytics and supply chain expertise to drive significant improvements in plant productivity and optimize manufacturing costs across General Mills' global food manufacturing network (50+ plants). This role will involve collaborating with cross-functional teams, developing and implementing data-driven solutions, and providing actionable insights to improve manufacturing processes and reliability. This role requires you to operate in 1.30 pm to 10.30 pm shift.

Key Accountabilities

• Translate business objectives into analytical problems, project scopes, success criteria, and feasible data requirements for manufacturing and supply chain initiatives.


• Extract, cleanse, and analyze manufacturing data using SQL, Python, and BigQuery to identify trends, drivers, and root causes.


• Develop and apply statistical, optimization, predictive, prescriptive, and machine learning models to improve performance, reliability, maintenance, and waste.


• Build and maintain dashboards, recommendation reports, and self-service analytics solutions using Python, Dash, GitHub, and DevOps practices, with strong data quality, automation, version control, and production deployment.


• Independently deliver moderately complex projects, partner with plant and business stakeholders, communicate results, demonstrate business impact, follow Agile practices, and mentor analysts while ensuring analytical rigor.

Minimum Qualifications

• Education: Bachelor's degree in a relevant field (e.g., Engineering, Statistics, Mathematics, Operations Research, Computer Science).


• Experience: 2-5 years of experience in a data analytics or engineering role, preferable within a manufacturing or supply chain environment


• Technical Skills: Proficiency in SQL and Python programming. Strong analytical and problem-solving skills. Excellent communication and collaboration skills


• Soft Skills: Strong analytical, problem-solving, communication, collaboration, and independent-working skills, with the ability to connect insights to business decisions.

Preferred Qualifications

• Master’s degree in engineering, Statistics, Mathematics, Operations Research, or a related field.


• 4+ years of analytics or engineering experience in manufacturing or supply chain.


• Proficiency in Python, Dash or similar visualization tools, SQL, and cloud platforms such as BigQuery.


• Knowledge of statistical modeling, optimization, machine learning, and reliability methods including FMEA and RCM.


• Experience with MES, ERP, MMS, and Agile-Scrum environments.

ELIGIBILITY

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