Data Analytics Intern - Engineering & SAP Operations

• 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.

• Support the gathering and formatting of historical sales data and future market projections to help evaluate the financial viability of proposed engineering projects.
• Collaborate on developing preliminary ROI (Return on Investment) models to justify capital expenditures for new testing equipment.
• Assist in creating clear, persuasive presentation slides that combine technical test results with commercial sales projections for upper management review.
• Track ongoing project costs against initial projections, highlighting any variances to department leadership.

• Currently pursuing a Bachelor’s degree in Data Science, Business, Business Analytics, Finance, or a related field.
• Working knowledge of data analysis and data visualization concepts through coursework or academic projects.
• Proficiency in Microsoft Excel (e.g., PivotTables, VLOOKUPs, basic macros) and familiarity with visualization tools (e.g., Power BI, Tableau).
• Knowledge of SQL for data extraction.
• A strong interest in working within a manufacturing, engineering, or laboratory environment.
• High-level understanding of data structures generated by hardware/software integration platforms.
• Academic or project experience in building cost-benefit analyses, business models, or interpreting sales projections.
• Excellent communication skills, with a proven ability to translate complex information into easy-to-understand insights.
• A proactive, inquisitive mindset with a willingness to learn and tackle open-ended problems.

The pay range for this position is based on credit hours ranging from $19.00-$26.00

Equal Opportunity Employer, including disability / veterans

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

• FIRST Robotics (For Inspiration and Recognition of Science and Technology)
• AWIM (A World In Motion)