Senior Analyst - Supply Chain Advanced Analytics

General Mills, Inc.; Mumbai; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

General Mills, Inc. in Mumbai is seeking a Senior Analyst to apply data science methods to supply chain challenges. You will develop descriptive, diagnostic, predictive, and prescriptive models, conduct scenario planning, and mentor junior analysts while driving timely, impactful solutions in a 1.30 pm–10.30 pm shift.

The role emphasizes model automation and project leadership. Candidates should have 3+ years in supply chain analytics, strong modeling skills, and proficiency with Python, SQL,

Qualifications

• Bachelor’s degree in a quantitative field and relevant analytics experience.
• 3+ years of experience in supply chain analytics.
• Strong knowledge of statistical modeling and optimization.
• Proficiency with Python, SQL, and data visualization tools.
• Experience with cloud platforms like BigQuery is preferred.

Responsibilities

• Translate supply chain objectives into analytical scope and define success criteria.
• Cleanse and explore data, identify trends, and develop predictive or prescriptive models.
• Conduct scenario planning and sensitivity analysis on projects.
• Automate modelling workflows to improve efficiency and mentor junior analysts.
• Manage moderately complex analytics projects end-to-end.

Skills

Data analysis

Model development

Scenario planning

Mentoring

Project management

Education

Bachelor’s degree in Business Analytics / Engineering / Statistics

Post-graduation in Industrial Engineering / Statistics / Supply Chain

Tools

Python

SQL

BigQuery

Dash

Excel

PowerPoint

Supply Chain Guru

AnyLogic

Job description

**OVERVIEW**In this role, the Senior 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 to improve modelling efficiency through automation and mentor junior analysts. Finally, independently manage moderately complex projects to deliver timely and impactful solutions. This role requires you to operate in 1.30 pm 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.* 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:**Bachelor’s 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 QUALIFICATIONS*** Post graduation in Industrial Engineering, statistics or Supply Chain operations* Professional Certifications for supply chain and Data science