Senior Advanced Analytics Analyst

Grainger's inventory planning team manages over 10 million SKU's and $1 billion in inventory across 500 DC's and branches in North America. The Senior Advanced Analytics Analyst is responsible for creating cost-savings or service improving inventory solutions that leverage statistics or operations research. These analytics-based solutions would be used to improve how Grainger decides where, when and how much inventory should be placed that aligns with strategic goals and keeping customers happy. You Will   Use operations research, statistical methods, mathematical models and tools to understand, predict and improve inventory processes. Contribute the building and deployment of durable processes and models. Participate/lead discussions with representatives to adapt the planning system to accommodate business unit needs. Articulate the cost and service impacts of strategic initiatives/projects to get buy-in. Apply knowledge and business judgment to identify opportunities and quantify impact. Present clear and concise results. Own the end-to-end delivery process that encompasses research, design, testing, scaling, and implementation of projects. Build predictive models such as the promotions impact on demand. Leverage time series features to find targeted improvements to forecast distribution accuracy, run an A/B test with peer-control groups to compare inventory policy changes, measure and predict supply chain variation to ensure high service levels     You Have Bachelor's Degree in Statistics, Mathematics, Operations Research, Industrial Engineering, Business Analytics or a related quantitative field required 3+ years work experience in related field Experience with analytics tools (e.g. R, Python, SQL) and data visualization software (e.g. Tableau, PowerBI) 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) Experience supply chain and inventory planning, forecasting and optimization knowledge preferred