Senior Statistical Analyst

3 weeks ago

Atlanta, Georgia, United States Newell Brands Full time

Job Summary

The Senior Statistical Analyst will play a key role in developing a baseline statistical forecast that serves as the starting point for the Category Demand Planner to build a consensus demand plan. This role will manage statistical models, cleanse sales order history, and maintain life cycle data with a goal to maximize statistical forecast accuracy (WFA) and attainment for specified Product Categories, Segmentation Profiles, and/or Regions.

Key Responsibilities

  • Manage and cleanse sales order history by identifying known outliers and making model adjustments to improve the accuracy of a statistical model.
  • Leverage Life Cycle Management parameters such as end of life skus/dates, linking supersession skus, and new product introductions to build statistical history and drive stat forecast improvements.
  • Conduct demand analytics by reviewing statistical outliers, segmentation (ABC/XYZ), and performing WFA and bias reviews to manage by exception.
  • Tune statistical models by managing the algorithm assignments to each sku, classify history patterns, and update model parameters.
  • Generate a baseline statistical forecast and adjust based on downstream data such as POS, incoming sales orders, and category/customer intelligence.

Requirements

  • 3+ years of Supply Chain experience (Forecasting, Demand Planning, Supply Planning, Inventory Management, and Fulfillment).
  • 1+ years of statistical modeling and demand systems (APO, IBP, JDA, Logility, etc).
  • 2+ years of experience in data acquisition, spreadsheet, or database development and analytics using business intelligence tools such as Power BI.

Education and Training

  • Bachelor's degree of Supply Chain Management, Statistics, Mathematics, Business Administration, or equivalent undergraduate degree, with related work experience.
  • Training (or equivalent prior experience) with demand planning tools like SAP APO-Demand, SAP IBP Demand, Oracle, or equivalent constrained-based supply planning tools.
  • Proficiency with Excel, PowerPoint, and other MS Office applications, and supply chain planning and optimization tools.

Aptitudes

  • Ability to understand the dynamics of the business – both commercially and operationally.
  • Ability to work with large datasets and develop diagnostic, predictive, and prescriptive analytics models.
  • Ability to influence decisions and translate business impact to stakeholders across different organizational functions well beyond the supply chain.
  • Ability to collaborate effectively with and manage execution across multiple teams.

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