SAP Data Analyst

Eaton Corporation•Richmond, VA

1d•$71,000 - $105,000•Onsite

About The Position

This position will help implement continuous improvement efforts required to perform all operations and supply chain efforts in an efficient and accurate manner. You will monitor and analyze all data and related KPIs, provide feedback and direction to shop floor supervisors and hourly associates pertaining to processes, and provide training for all data related systems as required. You will maintain proper queue management and product flow, conducting audits to verify data integrity throughout the plant and use multiple programming tools to assess this data (Excel, SAP, PowerBI, etc.). Making what matters work at Eaton takes the passion of every employee around the world. We create an environment where creativity, invention and discovery become reality, each and every day. It’s where bold, bright professionals like you can reach your full potential—and where you can help us reach ours.

Requirements

Bachelor’s degree from an accredited institution OR High School Diploma/GED from an accredited institution with a minimum of three (3) years in manufacturing, supply chain role, and/or production experience.
Minimum of one (1) year SAP experience in a manufacturing plant

Nice To Haves

Three (3)+ years of SAP experience in a manufacturing plant
Experience with SQL, Power BI, Tableau, SAP
General knowledge of ERP and procurement processes
Lean Manufacturing experience
Experience with MS Office, advanced user in MS Excel.

Responsibilities

Collect, analyze, and interpret large datasets to identify trends, patterns, and actionable insights that improve operational efficiency and decision-making.
Develop and maintain dashboards, reports, and data visualization tools to communicate findings to stakeholders.
Perform inventory and supply chain data analysis to support strategic initiatives and ensure alignment with organizational goals.
Collaborate with cross-functional teams to design and implement data-driven solutions for process improvement and cost optimization.
Support daily operational activities by providing data insights that enhance accuracy and timeliness in replenishment, cycle counting, and inventory management.
Document new processes and incorporate systematic training to ensure sustainable improvements.
Analyze supply chain and operational data to identify root causes of issues and recommend corrective actions.
Drive continuous improvement initiatives by leveraging data to streamline processes and eliminate inefficiencies.
Monitor key performance indicators (KPIs) and self-assess progress toward targets, providing recommendations for improvement.
Participate in materials-related projects as assigned, applying data analytics to optimize inventory, product flow, and resource utilization.
Other duties as assigned