General Mills | Jobs | Sr Analyst – SC Analytics – Demand | BigDataKB.com | 13-02-22

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Job Location: Mumbai

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:

  • Provide Support to demand planning function through Analytics โ€“
  • Lead and Build statistical models using historical demand data
  • 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

60% of Time

  • Perform descriptive & diagnostics analysis on historical demand & shipment 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
  • 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
  • Build solution framework for segmented demand planning

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

15% of Time

Training / Knowledge

  • Mentor & train team members on data preparation, diagnostics, predictive analytics, R, Python
  • Process standardization and documentation
  • Working on Individual development plan

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