Data Analytics Intern - Engineering & SAP Operations

Bosch develops technologies across mobility solutions, consumer goods, industrial technology, and energy and building technology. The Data Analytics Intern will support manufacturing engineering by analyzing hydraulic valve test data, building dashboards, and combining technical results with sales, cost, and production data to support ROI analysis and project planning.

What you'll do:

• 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

What they're looking for:

• 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