Operations Data Engineer - Warehouse & Supply Chain Analytics

Accelerate your career. Join the organization that's driving the world's technology and shape the future. 

Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at www.ingrammicro.com

Come join our team where you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey!

Job Summary

We’re looking for a Data Engineer to join our high-performing Global Engineering Analytics team. In this role, you’ll apply cutting-edge data science, supply chain analytics, and optimization techniques to solve complex problems that directly impact warehouse operations, labor efficiency, inventory flow, and facility design.

If you're excited by the challenge of turning data into smarter decisions and want to see your work make a visible difference in day-to-day operations, this is the role for you. Join us and help shape the future of our distribution network.

Key Responsibilities

• Analyze warehouse and supply chain data to uncover performance gaps, root causes, and improvement opportunities.
• Build predictive models for slotting, labor demand, equipment utilization, capacity planning, and inventory flow using Python, Alteryx, and SQL.
• Design and implement optimization models to improve resource allocation, space usage, and throughput in global distribution centers.
• Use Alteryx to automate workflows and streamline data preparation for reporting and modeling.
• Create dashboards and visualizations using Power BI or similar tools to communicate insights to operations leaders.
• Work with cross-functional teams, including Distribution Operations, IT, and Supply Chain, to execute data-driven initiatives.
• Translate complex analytics into actionable recommendations that reduce costs and increase warehouse efficiency.
• Support ongoing digital transformation and automation initiatives within the distribution network.

Qualifications

• 2–4 years of experience in data science, warehouse analytics, or operations research
• Bachelor’s degree in Data Science, Industrial Engineering, Applied Mathematics, or a related field (Master’s preferred)
• Strong experience in Python, SQL, and data visualization (Tableau preferred)
• Alteryx experience is highly preferred for data preparation and automation
• Proven track record of solving complex problems in warehouse, logistics, or supply chain environments.
• Familiarity with simulation tools (e.g., AnyLogic) and optimization platforms (e.g., CPLEX, Gurobi) is a plus.
• Excellent communication and data storytelling skills with the ability to present to technical and non-technical audiences.
• Self-starter with strong attention to detail and a passion for operational excellence

Why Join Us?

• Solve real-world problems that impact our distribution network and supply chain operations
• Work with a collaborative, cross-functional analytics team
• Contribute to cutting-edge solutions that improve warehouse efficiency and customer fulfillment
• Grow your career in data science, logistics analytics, and supply chain optimization

Keywords: Data Engineer, Distribution Center Analytics, Warehouse Optimization, Alteryx Jobs, Python, SQL, Supply Chain Data Science, Logistics Data Analyst, Operations Research, Labor Planning, Inventory Analytics, Tableau, Power BI, Simulation Modeling, Supply Chain Optimization Jobs

The typical base pay range for this role across the U.S. is USD $69,300.00 - $110,900.00 per year.

The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidate’s primary work location, pay grade, and variable compensation plan. Individual base pay within each range depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range.

At Ingram Micro certain roles are eligible for additional rewards, includi