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Senior Advanced Analytics Analyst

Senior Advanced Analytics Analyst

W. W. GraingerChicago, IL, United States
2 days ago
Job type
  • Full-time
Job description

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Location : Remote, IL, US, N / A LAKE FOREST, IL, US, 60045-5203 LAKE FOREST, IL, US, 60045-5201 CHICAGO, IL, US, 60654-4203

Work Location Type : Remote

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 maintenance, 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, andMonotaRO.com offers more than 24 million products. For more information, visitwww.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 :

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."

KeepStock is a Grainger managed inventory solution that helps customers manage their on-hand inventory, reduce time and labor costs, and save valuable space. As a Senior Advanced Analytics Analyst on the KeepStock team, you will report to the Sr Manager, Inventory Management and Optimization. You will provide functional expertise and guidance for daily execution of select system functionality of the inventory planning system, create new processes, automate existing processes / policies for Demand Management, perform forecasting and manage EOQ / Safety Stock Planning. You will also administer current stocking policies, ensure the accurate delivery of inventory plan updates, support continuous improvement goals, and ensure documentation of systems procedures. This position is hybrid requiring 50% of time onsite at the Lake Forest, IL or Chicago, IL offices.

You Will

  • Aid in developing supply chain strategies to meet customer service initiatives and meet inventory performance targets for KeepStock customers
  • Build models that predict the impact on demand and recommend inventory purchase quantities to ensure we maintain high service levels throughout the promotion
  • Build & validate advanced analytical and statistical models including but not limited to forecasting, optimization, and simulation such as linear programming or integer programming
  • Participate / lead discussions with representatives to adapt the planning system to accommodate business unit needs
  • Work with data using R, Python, Julia, or Gurobi
  • Deploy models and solutions using Kubernetes, Kubeflow, Apache Airflow
  • You Have

  • Bachelor's degree in Supply Chain Management, Business, Engineering, Statistics or related field
  • Master’s degree or equivalent preferred
  • 5 + years' experience in related field, supply chain experience highly preferred
  • Passion for using languages to work with large-scale data (e.g. SQL, R. Python)
  • Availability to be in the office two to three days a week either in Lake Forest or the Merchandise Mart
  • 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.

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