W. W. Grainger
Sr Advanced Analytics Analyst
W. W. Grainger, Chicago, Illinois, United States, 60290
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.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 provide functional expertise and guidance for daily execution of select system functionality of the inventory planning system. You will create new processes/automate existing processes/policies for Demand Management, Forecasting, 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. You will report to the Sr Manager, Inventory Management and Optimization.Responsibilities:
Aide 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, using forecasting, optimization, and simulation e.g. linear programming, integer programming etc.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.Minimum Requirements:
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.Passion for using languages to work with large-scale data (e.g. SQL, R, Python).Rewards and Benefits:
With benefits starting day one, Grainger is committed to your safety, health, and wellbeing. Our programs provide choice to meet our team members' individual needs. Check out some of the rewards available to you at Grainger:Medical, dental, vision, and life insurance coverage starts day one.Paid time off (PTO) days and 6 company holidays per year.6% 401(k) company contribution each pay period.Education assistance, including financial counseling, tuition reimbursement, and low-cost degree options.Employee discounts, parental leave, and more.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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Aide 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, using forecasting, optimization, and simulation e.g. linear programming, integer programming etc.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.Minimum Requirements:
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.Passion for using languages to work with large-scale data (e.g. SQL, R, Python).Rewards and Benefits:
With benefits starting day one, Grainger is committed to your safety, health, and wellbeing. Our programs provide choice to meet our team members' individual needs. Check out some of the rewards available to you at Grainger:Medical, dental, vision, and life insurance coverage starts day one.Paid time off (PTO) days and 6 company holidays per year.6% 401(k) company contribution each pay period.Education assistance, including financial counseling, tuition reimbursement, and low-cost degree options.Employee discounts, parental leave, and more.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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