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Senior Advanced Analytics Analyst

Senior Advanced Analytics Analyst

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

Senior Advanced Analytics Analyst – Grainger

Join to apply for the Senior Advanced Analytics Analyst role at Grainger .

About Grainger

W.W. Grainger, Inc. is a leading broad‑line 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 and solutions delivered through innovative technology and deep customer relationships. In 2024, the company generated $17.2 billion in revenue.

Work Location Type : Hybrid (50% onsite at Lake Forest, IL or Chicago, IL offices).

Compensation : $85,300.00 – $142,200.00 (anticipated base pay).

Rewards and Benefits :

  • Medical, dental, vision, and life insurance plans starting on day one.
  • 18 paid time off days annually for full‑time employees and 6 company holidays per year.
  • 6 % company contribution to a 401(k) Retirement Savings Plan.
  • Employee discounts, tuition reimbursement, student‑loan refinancing, and financial counseling.
  • 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.

Position Details. 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% time onsite at the Lake Forest, IL or Chicago, IL offices.

Key Responsibilities

  • Aid in developing supply‑chain strategies to meet customer service initiatives and inventory performance targets for KeepStock customers.
  • Build models that predict demand impact and recommend inventory purchase quantities to maintain high service levels during promotions.
  • Build and validate advanced analytical and statistical models, including forecasting, optimization, and simulation (e.g., linear programming, 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, and Apache Airflow.
  • Required Qualifications

  • Bachelor’s degree in Supply Chain Management, Business, Engineering, Statistics, or a related field.
  • Master’s degree or equivalent preferred.
  • 5 + years of experience in a related field; supply‑chain experience highly preferred.
  • Proficiency with SQL, R, and Python for large‑scale data work.
  • Availability to be in the office two to three days a week in Lake Forest or the Merchandise Mart.
  • EEO Statement : 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.

    Inclusive Workplace Commitment : We are committed to fostering an inclusive, accessible work environment and provide reasonable accommodations to individuals with disabilities during the application and hiring process and throughout employment. Please advise us if you need a reasonable accommodation.

    Seniority Level : Mid‑Senior level

    Employment Type : Full‑time

    Job Function : Business Development and Sales – Retail Office Equipment

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