Advanced Analytics Manager

Work Location Type: Hybrid 

As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working® by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we’re dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results.

Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified™ company, we’re looking for passionate people to join our team as we continue leading the industry over our next 100 years.

Compensation

The anticipated base pay compensation range for this position is $110,500.00  to $184,100.00.  

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.   

Position Details
Core to Grainger’s value is our ability to get our customers what they need, when they need it, delivering 30M+ shipments to our 4.5M customers from an extensive network of 250+ distribution centers and branches. The Operations Support team drives the success of this fulfillment network by providing clear visibility into operational health, identifying, and driving performance improvements to ensure Grainger delivers the best service to our customers at the lowest cost. 

As Advanced Analytics Manager, you will be responsible for developing advanced analytical capabilities that will drive cost savings and improving service delivery. You will design, build, and deploy models for forecasting and production-grade optimization processes. You will uncover relationships and key driver in our business and deliver machine learning and advanced tooling that will have quantifiable improvement to business performance. You will play a critical role in driving the adoption and integration of advanced analytics capabilities across Distribution Centers (DCs) and Branch Networks. This role requires a combination of technical expertise, strategic thinking, and strong leadership to ensure the successful integration of data-driven approaches into the organization’s operations.
This role will begin as an Individual Contributor with potential future people management as the function scales.  
 

You Will
•    Design, build, and deploy predictive models and optimization algorithms for operational and strategic decision-making.
•    Conduct advanced analyses to identify key drivers, relationships, and trends in business performance, providing data-driven recommendations and optimized solutions.
•    Collaborate with cross-functional teams, including business leaders and data engineering teams, to integrate advanced analytics tools and solutions into Distribution Centers (DCs) and Branch Networks. 
•    Develop and maintain a strategic roadmap for advanced analytics, ensuring alignment with business priorities and long-term goals. 
•    Drive the adoption of data science practices across the organization by showcasing measurable business impact and delivering user-friendly tools. 
•    Stay updated on the latest advancements in data science, machine learning, and optimization to ensure the team leverages state-of-the-art techniques and tools.

You Have
•    Bachelor’s degree in statistics, economics, mathematics, or related field.  
•    5+ years work experience 
•    Proven experience in advanced analytics, data science, or a related field, with a track record of delivering measurable business impact through data-driven solutions.
•    Strong expertise in statistical modeling, machine learning, and optimization techniques.
•    Proficiency in programming languages such as Python, R, or SQL, as well as experience with data visualization tools (e.g., Tableau, Power BI, Streamlit).
•    Experience in large data environments, with proven track record of developing and managing suite of metrics and reporting.
•    Strong business acumen and a strategic mindset. 
•    Occasional travel may be required to DC and branch field locations. 
 

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.

We are committed to fostering an inclusive, accessible 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.  With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.

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