Position Title | Supply Chain Analytics – Sr. Analyst | Function/Group | Logistics |
Location | Mumbai | Shift Timing | 1:30 pm to 10:30 pm IST |
Role Reports to | Demand Planning MOP | Remote/Hybrid/in-Office | Hybrid |
About General Mills
We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.
How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com
General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.
With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in
We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.
Job Profiles
Supply chain analytics group is responsible for delivering the solutions and developing the capabilities which enables better decision-making in supply chain. This team works closely with plan pillars of supply chain, business units and other cross functional partners for developing solutions to drive business value. This team also drives step-change innovation and improvements in business practices by delivering actionable demand insights through advanced analytics and supply chain expertise. The purpose of the job is to support Demand planning function by providing Innovative solutions and help implementing it to optimize/Standardize processes which will bring improvement to overall forecasting approach resulting in better accuracy. Explore and take up opportunities which supports the demand planning efforts by creating and executing industry standard approaches.
Responsibilities & Duties
- Understand different forecasting models, analyze forecasting outputs, and prepare final analysis of change reports for the stakeholders to understand the data analysis steps, enabling them to take important decisions based on various facts and insights.
- Identify, analyze and interpret patterns and trends through descriptive analysis in complex data sets that could be helpful for diagnosis and prediction.
- Analyzing the different performance metrics (e.g. Accuracy, Bias etc.) and identifying improvement opportunities through RCA in order to achieve business targets.
- Use automated tools (like Tableau Dashboards, GCP etc.) to extract data from primary and secondary sources using SQL/PLSQL
- Constantly engage with stakeholders to ensure alignment in demand forecast.
- Coordinate with technical/data science teams to identify process improvement opportunities, validate outputs, propose modification if required.
Preferred Qualification
- Minimum of a bachelor’s degree in Operational research, statistics, supply chain and any other relevant field
- 2-3 years of experience in data analysis
- Working knowledge of data visualization software like Tableau/Power BI/Looker
- Basic knowledge of supply chain/CPG/Retail
- Familiar with forecasting techniques like Time series models (Exponential smoothing/ARIMA) and other ML techniques
- Proficiency in statistics and statistical tool like R/ Python/Excel/SQL to be used for data set analysis.
- Basic knowledge of cloud environment like GCP/AWS/AZURE
- Having a systematic and logical approach to problem-solving
- Strong Verbal and written communication