Data Analytics Intern - Engineering & SAP Operations

Within our testing engineering department, we focus on the rigorous validation and performance testing of advanced hydraulic cartridge valves. We are currently modernizing our testing infrastructure to be faster and more scalable for production. In this internship role, you will get hands-on experience bridging the gap between complex engineering data and high-level strategic planning, ensuring our technical innovations are backed by solid data visualization and commercial viability. As a Data Analyst Intern for the Manufacturing Engineering department, you will play a supporting dual role in our technical capabilities and our business strategy. Your primary project will be helping us take complex raw data generated by our hydraulic test stands and transforming it into clear, actionable visual dashboards for our engineering team. In addition to engineering data, you will collaborate with department leadership to pull and format sales figures, project costs, and production volumes. You will use this commercial data to help build compelling business cases, assisting us in proving out the ROI of large-scale engineering projects (such as new automation) and forecasting future departmental needs. Key Responsibilities Test Data Analysis & Visualization Support Assist in extracting, cleaning, and formatting high-volume test data generated by data acquisition software and hardware control systems. Help design and build automated dashboards to visually display key performance metrics of hydraulic valves, pass/fail rates (QPPM) (FPY), and overall equipment effectiveness (OEE). Work closely with current data analysis and engineering teams to understand how data flows from our newly structured testing programs to end-user reports. Learn to identify trends, anomalies, and performance bottlenecks in test results to help the team optimize testing throughput. Project Justification & Sales Analytics Support Support the gathering and formatting of historical sales data and future mar