职位介绍
- 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. Job Profile: 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 all supply chain functions (i.e. plan, source, make, deliver and customer service teams), 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 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: 60% of Time Provide Support to demand planning function through Analytics –
- Generate forecast for New Items using like item modelling approach
- Collect data from multiple system using SQL/PLSQL
- Pre-process Data
- Outlier detection/removal, Univariate, multivariate, robust regression, data smoothening
- Identify Pattern in data- Trend, Seasonality and noise decomposition
- Perform descriptive & diagnostics analysis on historical demand & shipment data
- Build statistical models using historical demand data
- Cluster & Classify data using different machine learning methods
- Forecast Visual analytics, scenario planning, model diagnostics
- Regression methods- Correlation, ANOVA, Chi squared, Dimensionality reduction, r squared, adjusted r squared, p value, composite models
- Contribute to build & implement advance capabilities using machine learning techniques into forecasting framework to enhance accuracy and scalability
- Clustering methods- Distance matrix, Dimensionality reduction, K-means, DBSCAN
- Develop various tools to help Demand Planning maintain correct forecast splits
- Provide support for New Item Forecasting to build statistical forecast 30% of Time Predictive modelling and Time series forecasting
- Historical data pre-processing and outlier correction
- Short and long-term forecasting with best in class accuracy and output validations
- Multivariate modelling incorporating external factors into forecasting
- Effectively review and deploy results to stakeholders using predictive, prescriptive analytics and data visualization
- Statistical modelling using R 10% of Time Training / Knowledge
- Process standardization and documentation Education Minimum Degree Requirements: Bachelors Preferred Degree Requirements: Masters Preferred Major Area of Study: Operations Research / Statistics Preferred Professional Certifications: Data Analytics, Machine learning Experience Minimum years of related experience required: 0 Preferred years of related experience: 1 - 2 yrs. Technical requirements: Good understanding of Demand Planning and supply planning processes Hands on experience on machine learning - various types of regression, classification and clustering techiques R and/or PYTHON Programming SQL/PLSQL Data visualization using Excel and/or Tableau Pivoting, conditional data formatting, charts, graphs Handling large data sets in various formats, volume and dimensions Fundamentals of linear algebra,matrices and probability Competencies/Behaviors required for job: Interpersonal effectiveness Ability to influence across teams/boundaries Good written/oral communication Learning Agility Broad perspective Integrity and team player 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.
福利待遇
•401k
•带薪假期
•Learning Budget
必备技能
Data analysis
Reporting
Stakeholder management
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