Mgr, Business Intelligence

Date: Jul 22, 2025

Location: LAKE FOREST, IL, US, 60045-5202

Company: Grainger Businesses

 

Work Location Type: Hybrid  


About Grainger
W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenances, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit www.grainger.com.  


Compensation
The anticipated base pay compensation range for this position is $101,300.00  to $168,900.00.


Rewards and Benefits
With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:

  • Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
  • 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
  • 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
  • Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
  • Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

For additional information and details regarding Grainger’s benefits, please click on the link below:

https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire

The pay range provided above is not a guarantee of compensation.  The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills.   

The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above. 

Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.  

This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position.

 

Position Details
As Manager, Business Intelligence, you will lead the development analytical resources and drives advancement on tools and technology that impact the Merchandising team’s efforts to drive growth for Grainger through assortment ownership, product information management, and best-in-class published experiences. You will perform high impact statistical analysis to advance critical strategic and operational decisions, leads the alignment of business context with technology development partners, and fosters a culture and capability of data fluency amongst the broader Merchandising Strategy team. 
You will report to Sr. Mgr. Merchandising Operations, Analytics & Technology and is part of the Merchandising Strategy team. 

You Will
•    Lead and support a team to develop, maintain, and improve tools and visuals that facilitate performance tracking and analysis, support and improve decision-making, and drive operational improvements and efficiencies.
•    Function as a subject matter expert on the types of data and tools most relevant to the business units this team supports which may include web analytics, website optimization and relationship management tools to manage enterprise data (e.g. Product Information, Customer Information, etc).
•    Maintain an understanding of critical operational issues and needs of the business in order to anticipate and evaluate business requirements, trends, and variances, and provide perspective, reporting and analysis to drive improvements.
•    Lead efforts to convene business owners and technology and data partners to articulate needs, define and evaluate priorities, monitor execution of critical events and ensure awareness and understanding among stakeholders.
•    Develop and execute programs including department training, guides or work instructions, and mentorship in order to advance and sustain analytical, data, and technology acumen among the broader teams.
•    Coordinate the resolution of data availability, accuracy, completeness and consistency issues and facilitate break-fix activities, troubleshooting, and root cause analysis with both analytical tools sets and technology solutions.
•    Use your knowledge of business processes and overall acumen to link customer needs and behaviors to metrics and results.

You Have
•    Bachelor's Degree or equivalent experience in Analytics, Statistics, Finance/Economics or relevant experience Required
•    5+ years of related experience. Required
•    Experience using designing, building and manipulating existing reports in data visualization platforms such as Tableau/PowerBI , including the ability to build SQL queries to populate the data.
•    Experience using data warehousing tools such as Snowflake, PowerApps, and SAP.
•    Experience in Python-based application development platforms, such as Streamlit, is preferred.
•    Experience applying analytical and data concepts, systems, and strategies.
•    Experience structuring and drawing insights from advanced modeling techniques including regression and predictive analysis, i.e. R, Python, etc.
•    Experience presenting technical concepts to non-technical audience.
•    Experience creating business cases and implementing use cases for Artificial Intelligence in analytics.

 

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.

 

We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one’s employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.

#LI-hybrid
#LI-LE1