Statistical Analyst

Grainger is a broad line, business-to-business distributor of maintenance, repair and operating (MRO) supplies and other related products and services. More than 3.2 million businesses and institutions worldwide rely on Grainger for products such as safety gloves, ladders, motors and janitorial supplies, along with services like inventory management and technical support. These customers represent a broad collection of industries including commercial, government, healthcare and manufacturing. They place orders online, on mobile devices, through sales representatives, over the phone and at local branches. Approximately 5,000 suppliers provide Grainger with more than 1.6 million products stocked in Grainger’s distribution centers and branches worldwide.

Primary Function

Apply statistical and other quantitative methods to the ongoing pursuit of “understanding the customer and marketplace”.  The decisions made by this position have an impact on the organization through the development of analytical work that enhances the success of tactical initiatives.

Primary Duties and Responsibilities

• Development and maintenance of statistical or other quantitative models in support of internal client activities
• Plan, execute, and effectively communicate the results of strategic database analyses
• Conducts analysis of market data and customer information, identifying patterns, trends and translating those into actionable insights 
• Utilize measurement and analysis techniques to quantify results of business activities.  Assist in the education of various business partners on analysis methodologies
• Research and recommend innovative solutions to a wide array of business problems using statistics and mathematics
   
   
  Preferred Education & Experience:

• Bachelor’s degree in statistics, economics, mathematics, or related field.  Master’s degree in statistics, economics, or analytics preferred
• 1 to 4 years experience
• Experience with linear regression, logistic regression, cluster analysis, time series analysis, or other machine learning techniques
• Experience with either R or Python, and SQL
• Strong business acumen
• Excellent communication skills
   
   
  EEOC Statement
   
  Grainger is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.