Sr. Analyst – Statistical forecasting

Job Number: 11885
Location(s): Mumbai, Maharashtra

General Mills is reshaping the future of food. We believe food makes us better. It nourishes our bodies, brings us joy and connects us to each other. As one of the world’s leading food companies, General Mills operates in more than 100 countries and markets more than 100 consumer brands, including Cheerios, Nature Valley, Betty Crocker, Yoplait, Annie’s Homegrown, Old El Paso, Epic Provisions, Blue Buffalo and more. Are you passionate about the future of food? You’ve come to the right table. We want the very best talent to help lead something big.

Job Details

Overview & Responsibilities

The fundamental purpose of this role is to support Demand planning by working extensively in the area of statistical forecasting. Also providing innovative solutions and help implement it to optimize/Standardize processes which will bring improvement to overall forecasting approach and accuracy.

65%

of Time

 

Statistical forecasting

·         Pre-process and cleanse the input data for outliers and imputation of zero ship periods

·         Univariate time series modelling using exponential smoothing and Box Jenkins methods for very large data sets at SKU, warehouse and Customer level in weekly and monthly buckets

·         Multivariate modelling incorporating external and causal factors into forecasting

·         Leverage machine learning models (Support vectors, Ensembles – Random forest, Gradient boosting etc.) & deep learning (Recurrent Neural network (LSTM) etc.) to generate best in class forecast accuracy.

·         Algorithm selection and hyper parameter tuning along with handle on overfitting to effectively generate accurate forecast with minimal efforts.

·         Exception handling and alert management to effectively review and manage forecasting KPIs above defined targets

·         Long-term forecasting incorporating strategic inputs from marketing, finance, operations etc.

·         Effectively deploy results to stakeholders using predictive, prescriptive analytics and data visualization

 

15%

of Time

 

Segmentation & demand planning analytics –

·         Generate forecast for New Items using like item modelling/ machine learning approaches

·         Perform descriptive & diagnostics analysis on historical demand & shipment data

·         Forecast Visual analytics, scenario planning, model diagnostics

·         Build solution framework for segmented demand planning by leveraging Clustering methods- Distance matrix, Dimensionality reduction, K-means, DBSCAN etc.

·         Enhance Demand disaggregation methodology and accuracy

 

 

20%

of Time

Training / Knowledge

·         Stats Forecasting training for new employees and demand planners

·         Process standardization and documentation

·         Working on Individual development plans

 

  • Interpersonal effectiveness
  • Ability to influence across teams/boundaries
  • Good written/oral communication
  • Learning Agility
  • High level of analytical skills, functional competence in the area of Demand management, Ability to influence without power, Good inter personal skills etc.

 

Shift: 1.30 PM to 10.30 PM

Qualifications

Education

 

Minimum Degree Requirements:  

Bachelors

Preferred Degree Requirements:  

Masters

Preferred Major Area of Study:

Operations Research / Statistics

Required Professional Certifications:

 

Preferred Professional Certifications:

Data Analytics, Machine learning

 

Experience

 

Minimum years of related experience required:

4 years

Preferred years of related experience:

4 – 6 yrs.

Technical requirements:

    • Strong understanding of E2E Demand Planning and supply planning processes (Must have)
    • R and PYTHON Programming (Must have)
    • Data visualization using Excel, Tableau etc.
    • Handling large data sets in various formats, volume and dimensions (SQL / Data Lakes)
    • Fundamentals of linear algebra, calculus, matrices and probability
    • Prior exposure to ERP (preferred)

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

Overview & Responsibilities

The fundamental purpose of this role is to support Demand planning by working extensively in the area of statistical forecasting. Also providing innovative solutions and help implement it to optimize/Standardize processes which will bring improvement to overall forecasting approach and accuracy.

65%

of Time

 

Statistical forecasting

·         Pre-process and cleanse the input data for outliers and imputation of zero ship periods

·         Univariate time series modelling using exponential smoothing and Box Jenkins methods for very large data sets at SKU, warehouse and Customer level in weekly and monthly buckets

·         Multivariate modelling incorporating external and causal factors into forecasting

·         Leverage machine learning models (Support vectors, Ensembles – Random forest, Gradient boosting etc.) & deep learning (Recurrent Neural network (LSTM) etc.) to generate best in class forecast accuracy.

·         Algorithm selection and hyper parameter tuning along with handle on overfitting to effectively generate accurate forecast with minimal efforts.

·         Exception handling and alert management to effectively review and manage forecasting KPIs above defined targets

·         Long-term forecasting incorporating strategic inputs from marketing, finance, operations etc.

·         Effectively deploy results to stakeholders using predictive, prescriptive analytics and data visualization

 

15%

of Time

 

Segmentation & demand planning analytics –

·         Generate forecast for New Items using like item modelling/ machine learning approaches

·         Perform descriptive & diagnostics analysis on historical demand & shipment data

·         Forecast Visual analytics, scenario planning, model diagnostics

·         Build solution framework for segmented demand planning by leveraging Clustering methods- Distance matrix, Dimensionality reduction, K-means, DBSCAN etc.

·         Enhance Demand disaggregation methodology and accuracy

 

 

20%

of Time

Training / Knowledge

·         Stats Forecasting training for new employees and demand planners

·         Process standardization and documentation

·         Working on Individual development plans

 

  • Interpersonal effectiveness
  • Ability to influence across teams/boundaries
  • Good written/oral communication
  • Learning Agility
  • High level of analytical skills, functional competence in the area of Demand management, Ability to influence without power, Good inter personal skills etc.

 

Shift: 1.30 PM to 10.30 PM

Qualifications

Education

 

Minimum Degree Requirements:  

Bachelors

Preferred Degree Requirements:  

Masters

Preferred Major Area of Study:

Operations Research / Statistics

Required Professional Certifications:

 

Preferred Professional Certifications:

Data Analytics, Machine learning

 

Experience

 

Minimum years of related experience required:

4 years

Preferred years of related experience:

4 – 6 yrs.

Technical requirements:

    • Strong understanding of E2E Demand Planning and supply planning processes (Must have)
    • R and PYTHON Programming (Must have)
    • Data visualization using Excel, Tableau etc.
    • Handling large data sets in various formats, volume and dimensions (SQL / Data Lakes)
    • Fundamentals of linear algebra, calculus, matrices and probability
    • Prior exposure to ERP (preferred)

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

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