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Economics & Market Intelligence Senior Analyst

Date: Nov 4, 2021

Location: LAKE FOREST, IL, US, 60045-5201 Virtual Worker, IL, US, N/A CHICAGO, IL, US, 60603-4013

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 Detail:

You will deliver foundational economic and market intelligence to Grainger and its departments. You will apply statistical, econometric, and mathematical techniques to a variety of data, with the intent of uncovering macro trends, competitive dynamics, share performance, and customer behaviors. You will report to the Market and Economic Analytics Manager.

You Will:

  • Help develop and maintain statistical and econometric models to support internal client goals
  • Establish market sizes, trends, and projections and draw their implications for the business
  • Help support our strategic planning process
  • Analyze market data and customer information to identify patterns and trends, translating them into relevant insights
  • Consult with U.S. and global leaders to provide customized market expertise and solutions
  • Present perspectives on the evolving market to several internal departments
  • Prepare materials to be presented by the Grainger Leadership Team (C-suite)
  • Lead global market analytics

You Have:

  • Master's degree in a quantitative discipline such as statistics, economics, mathematics, or related field and 4+ years of equivalent work experience
  • Experience with econometric modeling, including linear regression and time series analysis
  • Experience with R, Python, SPSS, SAS, and SQL


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.