Sr Analyst - Advanced Analytics, GIC SC Analytics

General Mills, Inc.; Mumbai; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

General Mills, Inc. in Mumbai, India, is seeking a Senior Analyst in Supply Chain Analytics to transform complex questions into practical, data-driven insights that improve manufacturing efficiency across our global network.

The role requires translating business goals into analytics, building models, and delivering dashboards using SQL, Python, and BigQuery. You will collaborate with cross-functional teams, mentor analysts, and apply Agile practices in a dynamic environment with a 1:30 pm–10:30

Qualifications

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

Responsibilities

• Translate objectives into analytical problems and data requirements.
• Extract, cleanse, and analyze manufacturing data to identify trends and root causes.
• Develop statistical and machine learning models to improve performance and reliability.
• Build dashboards and reports using Python, Dash, and DevOps practices.
• Collaborate with plant and business stakeholders in Agile teams and mentor junior analysts.

Skills

SQL

Python

Data analysis

Problem solving

Communication

Collaboration

Independent-working

Education

Bachelor's degree in a relevant field (Engineering, Statistics, Mathematics, Operations Research, Computer Science)

Tools

Dash

BigQuery

GitHub

DevOps

Job description

회사 개요

우리는 전 세계가 사랑하는 식품을 만들기 위해 존재합니다. 하지만 우리는 그 이상을 합니다. 우리 회사는 선한 영향력을 발휘하는 것을 최우선으로 하는 곳이며, 매일매일 배움을 확장하고 새로운 시각을 탐구하며 새로운 가능성을 재창조하는 공간입니다. 우리는 서로에게 도전하고 성장할 수 있는 대담한 사고를 가진 인재, 즉 최선을 다할 수 있는 인재를 찾습니다. 식품 분야의 확고한 리더가 되기 위해, 우리는 끊임없이 다음을 향해 도전하는 사람들과 함께합니다.

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, preferably 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.

지원자는 해당 직무가 위치한 국가의 최소 연령 요건을 충족해야 합니다.

새로운 가능성. 대담한 사고. 진실된 마음. 탁월한 사람들과 함께 탁월한 브랜드를 만듭니다.

General Mills는 전 세계가 사랑하는 식품을 만듭니다. 100여 개 시장에 걸쳐서 우리는 힘을 합쳐 새로운 제품을 개발하고, 혁신을 주도하며, 함께 성장해 나갑니다. 이곳에서 여러분은 선의를 추구하는 기업에서 의미 있는 일을 하며 식품 산업의 미래를 이끌어 나갈 수 있습니다.