What are the responsibilities and job description for the SENIOR ADVANCED ANALYST- INVENTORY OPTIMIZATION position at Grainger?
Work Location Type : Remote 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. 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, Inventory Optimization and Advanced Analytics to help us make better decisions across the branch network and broader supply chain. These analytics-based decisions decide where, when and how much inventory is placed to keep customers happy. Below are a few sample projects you could work on : Build a model to predict the impact of same day service on sales. Forecast demand of newly stocked items in the branch network. 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 report to a Manager, Inventory Optimization and this role is a remote based position. Some travel will be required. The salary range for this position is $85,300 to $142,200. This range provided is a guideline and not a guarantee of compensation. Other factors that are involved in offer decisions include and not limited to : Candidate experience, qualification, geographical area and internal equity of the team. This position will be posted from September 16, 2024 until October 16, 2024. 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 and develop strategies. You Have : Undergraduate degree or relevant experience 3 years experience in data science, industrial engineering, or operations research to help solve complex problems A 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 and flexibility to meet our team members' individual needs. Check out some of the rewards available to you at Grainger Medical, dental, vision, and life insurance plans Generous paid time off (PTO) and 6 company holidays per year Automatic 6% 401(k) company contribution each pay period Employee discounts, parental leave, 3 : 1 match on donations and tuition reimbursement A comprehensive set of emotional, financial, physical and social wellbeing programs 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. #LI-remote #LI-JG1
Salary : $85,300 - $142,200
