Sr Analyst - SC Analytics - Demand

India || 6 Day Ago
Category :Vacant
Country :India
Mumbai Spectra Office
publish date :2026-03-19
Description
India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. Sr Analyst – SC Analytics (Demand) Function: Supply Chain Location: Mumbai Shift: 1:30 PM – 10:30 PM Reports to: Assistant Manager – Demand Planning Capabilities Work Mode: Hybrid About General Mills General Mills is a global food company with 100+ brands across 100 countries, including Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen‑Dazs. Founded in 1866, the company has a long legacy of innovation and delivering food the world loves. The General Mills India Center (GIC) in Mumbai is a global capability center with 1800+ professionals delivering value across Supply Chain, Digital & Technology, Innovation, Consumer & Market Intelligence, Sales Strategy, Finance, and HR. Role Overview The Senior Analyst – SC Analytics (Demand) supports the demand planning function by developing data-driven forecasting solutions, improving forecast accuracy, and standardizing demand planning processes. The role leverages analytics, forecasting models, and cross-functional collaboration to enable better business decisions and optimized demand planning. Key Responsibilities Apply statistical forecasting models and fine-tune parameters to align forecasts with market dynamics. Analyze forecasting outputs and present insights to support business decision-making. Identify patterns and trends through advanced data analysis to support forecasting and diagnostics. Monitor and publish performance metrics such as forecast accuracy and bias. Conduct root cause analysis (RCA) to identify improvement opportunities. Support forecasting for new product launches and manage related data requirements. Extract, transform, and manage data using SQL, Excel, Python, and tools such as GCP, Tableau, Dash, and AFO. Collaborate with brand marketing and cross-functional teams to align demand forecasts with launch strategies and promotions. Facilitate consensus meetings to align stakeholders on demand plans and assumptions. Drive process standardization and tool adoption through training and best practices. Work with data science and technical teams to enhance forecasting processes and solutions. Minimum Qualifications Bachelor’s degree in Operations Research, Statistics, Supply Chain, or related field 3+ years of relevant experience in analytics or supply chain Strong data analysis and statistical skills Experience with data visualization tools (Tableau / Power BI / Looker) Familiarity with forecasting methods (Time Series models such as Exponential Smoothing, ARIMA; basic ML techniques) Proficiency in Python / R / SQL / Excel Basic knowledge of cloud platforms (GCP, AWS, Azure) Understanding of Supply Chain / CPG / Retail domain Strong problem-solving, stakeholder management, and communication skills Preferred Qualifications Master’s degree in Operations or related field 5+ years of relevant experience Certifications such as CSCMP or APICS Advanced Excel and ERP knowledge (SAP APO preferred) 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 other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.
Please pay attention to fraud and not pay any money to any person or entity that is not trusted, inspect the commodity and ensure its safety before completing the deal, and report violating advertisements immediately..
2023-11-11
£15,000 - £20,000
2021-09-26
£45,000 - £50,000
2021-09-26
£45,000 - £50,000