Senior Advanced Analytics Analyst

Work Location Type: Remote  

Req Number 321604

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 $85,300.00  to $142,200.00.

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:

Grainger's inventory planning team manages over 10 million SKU's and $2 billion in inventory across 500 DC's and branches in North America. We're hiring a Senior Analyst, Supply Chain Optimization and Advanced Analytics to help us make better decisions across the supply chain. These analytics-based decisions decide where, when and how much inventory is placed to keep customers happy. You will report to the Sr Manager, Supply Chain Optimization & Advanced Analytics.

Below are a few sample projects you could work on:

• Build a model that predicts the impact promotions have on demand and recommend inventory purchase quantities to ensure we maintain high  service levels throughout the promotion.
• Forecast supplier purchase order lead times with prediction intervals
• Create an optimization model that prioritizes what we buy from a supplier, while ensuring the total amount purchased fits within a truckload space constraint. The model should evaluate different quantities and combinations of items to maximize the orders that we can fulfill with the purchased inventory.

We don’t expect you to have experience in tackling all the above problems.  Having an interest in these problems, and experience in some of them is a great start.

You Will:

• Obtain, manipulate, clean, and analyze structured and unstructured data from diverse sources (Snowflake, S3)
• Work with data using R, Python, Julia, or Gurobi
• Deploy models and solutions using Kubernetes, Kubeflow, Apache Airflow
• Build & validate advanced analytical and statistical models, using forecasting, optimization, and simulation e.g. linear programming, integer programming etc.
• Leverage analytics tools to identify problems and implement solutions
• Quantify business impacts and communicate actionable recommendations with business partners to drive informed decisions

You Have:

• Graduate degree (MS or equivalent) in Statistics, Mathematics, Operations Research, Industrial Engineering or a related quantitative field preferred
• Be data driven and have 2-3 years experience with analytics tools (e.g. R, Python, SQL) and data visualization software (e.g. Tableau, PowerBI)
• Fluency in speaking Japanese required
• Supply chain, forecasting and optimization knowledge preferred
• 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)

 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.