Sr. Advanced Analytics Analyst

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.

Grainger’s inventory planning team manages over 10 million SKUs and $1 billion in inventory across 500 DCs and branches in North America. The Senior Advanced Analytics Analyst is responsible for creating cost‑savings or service‑improving inventory solutions that leverage statistics or operations research.

Lake Forest, IL, USA – Remote (Hybrid)

The anticipated base pay compensation range for this position is $85,300.00 to $.

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; 18 paid time off (PTO) days annually; 6 company holidays per year; 6% company contribution to a 401(k) retirement savings plan each pay period; employee discounts; tuition reimbursement;

student loan refinancing; 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.

• Use operations research, statistical methods, mathematical models and tools to understand, predict and improve inventory processes.
• Contribute to the building and deployment of durable processes and models.
• Participate/lead discussions with representatives to adapt the planning system to accommodate business unit needs.
• Articulate the cost and service impacts of strategic initiatives/projects to gain buy‑in.
• Apply knowledge and business judgment to identify opportunities and quantify impact.
• Present clear and concise results.
• Own the end‑to‑end delivery process that encompasses research, design, testing, scaling, and implementation of projects.
• Build predictive models such as the promotions impact on demand.
• Leverage time‑series features to find targeted improvements to forecast distribution accuracy, run an A/B test with peer‑control groups to compare inventory policy changes, and measure and predict supply‑chain variation to ensure high service levels.

• Bachelor's Degree in Statistics, Mathematics, Operations Research, Industrial Engineering, Business Analytics or a related quantitative field (required).
• 3+ years work experience in a related field.
• Experience with analytics tools (e.g., R, Python, SQL) and data visualization software (e.g., Tableau, Power
  
  BI).
• Experience articulating ambiguous business questions and using quantitative modeling techniques to arrive at a solution.
• Experience processing, filtering, validating, and presenting large quantities of data (millions to billions of rows).
• Experience in supply chain and inventory planning, forecasting and optimization knowledge preferred.

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 providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one’s employment. If you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.

"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."

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.