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Sr Advanced Analytics Analyst

Date: Jan 11, 2022

Location: LAKE FOREST, IL, US, 60045-5201

Company: Grainger Businesses

About Grainger:

Grainger is North America's leading distributor of maintenance, repair, and operating products and services. Our wide assortment, deep expertise, innovative technology solutions and unparalleled customer service keep customers' operations running and their people safe.


We're looking for passionate people who can move our company forward. We have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way at Grainger.


Position Details:

Grainger's inventory planning team manages over 10 million SKU's and $1 billion in inventory across 500 DC's and branches in North America. We're hiring a Senior Analyst, Inventory Optimization and Advanced Analytics to help us make better decisions across the supply chain. These analytics-based decisions decide where, when and how much inventory is placed to keep customers happy. You will report to the Sr Mgr, Inventory Optimization & Advanced Analytics.


Below are a few sample projects you could work on:

  • Build a model that predicts the impact promotions have on demand and recommend inventory purchase quantities to ensure we maintain high service levels throughout the promotion.
  • Forecast supplier purchase order lead times with prediction intervals
  • Create an optimization model that prioritizes what we buy from a supplier, while ensuring the total amount purchased fits within a truckload space constraint. The model should evaluate different quantities and combinations of items to maximize the orders that we can fulfill with the purchased inventory.


You Will:

  • Access data using Teradata, Snowflake, S3
  • Work with data using R, Python, Julia, or Gurobi
  • Deploy models and solutions using Kubernetes, Kubeflow, Apache Airflow
  • Continue to learn new tools to identify problems and implement solutions.


You Have:

  • Undergraduate degree or relevant experience
  • 3+ years experience in data science, industrial engineering, or operations research to help solve complex supply chain problems.
  • A passion for using languages to work with large-scale data (e.g. SQL, R, Python).


Rewards and Benefits:

With benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice and flexibility to meet our team members' individual needs. Check out some of the rewards available to you at Grainger

  • Medical, dental, vision, and life insurance plans
  • Generous paid time off (PTO) and 6 company holidays per year
  • Automatic 6% 401(k) company contribution each pay period
  • Employee discounts, parental leave, 3:1 match on donations and tuition reimbursement
  • A comprehensive set of emotional, financial, physical and social wellbeing programs


DEI Statement

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.