Senior Advanced Analyst- Supply Chain Optimization

Key Skills

Apache Airflow, Data science techniques, Kubeflow, Operations, Python Programming, R Programming, Snowflake, SQL, Supply Chain Management

Job Description

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 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.