Senior Advanced Analyst- Supply Chain Optimization

 

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, Supply Chain Optimization and Advanced Analytics to help us make better decisions across the supply chain. These analytics-based decisions decide where, when and how much inventory is placed to keep customers happy. You will report to the Sr Manager, Supply Chain Optimization & Advanced Analytics.

Below are a few sample projects you could work on:

• Build a model that predicts the impact promotions have on demand and recommend inventory purchase quantities to ensure we maintain high service levels throughout the promotion.
• Forecast supplier purchase order lead times with prediction intervals
• Create an optimization model that prioritizes what we buy from a supplier, while ensuring the total amount purchased fits within a truckload space constraint. The model should evaluate different quantities and combinations of items to maximize the orders that we can fulfill with the purchased inventory.

 

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 Senior Manager, Supply Chain 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 August 19, 2024 until October 1, 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

 

You Have:

• Undergraduate degree or relevant experience
• Master’s degree or equivalent preferred
• 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