Senior Analyst - Supply Chain Analytics - Statistical Forecasting

Senior Analyst - Supply Chain

Job Overview:

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

Responsibilities:

Statistical forecasting:

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

- Univariate time series modelling 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.) to generate best in class forecast accuracy.

- 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 to ensure alignment on forecast numbers.

- Coordinate with technical/data science teams to identify and implement process improvement opportunities.

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 and implement framework for segmented demand planning.

- Enhance Demand disaggregation methodology and accuracy.

20% of Time:

Training / Knowledge:

- Stat Forecasting training for new employees and demand planners process standardization/automation and documentation

- Working on Individual development plans

Education:

- Minimum Degree Requirements: BTECH

- Preferred Degree Requirements: Masters

- Preferred Major Area of Study: Operations Research / Statistics

- Preferred Professional Certifications: Data Analytics

- 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)

- Data gathering, pre-processing, model training, cross-validation and forecast generation using R/Python

- 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/Behaviours required for job:

- Interpersonal effectiveness

- Ability to influence across teams/boundaries.

- Good written/oral communication

- Learning Agility

- Broad perspective

- Integrity and team player

- Stakeholder management, Project management