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
- Skilled Certifications for supply chain and Data science

Role: Data Science & Analytics - Other, Industry Type: FMCG, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills PythonSQLStatistical ModelingOptimizationSupply Chain Machine LearningAdvanced AnalyticsNetwork Design

📌 Sr Analyst Advanced Analytics Supply Chain (Mumbai)
🏢 General Mills
📍 Mumbai