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Bosch is seeking a Data Analytics Intern to bridge engineering data with business insights in manufacturing engineering. You will transform raw hydraulic test data into actionable dashboards and support leadership with sales and production projections.
Ideal candidates are pursuing a bachelor’s degree in a related field, have Excel and SQL skills, and can communicate complex data clearly for upper management.
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the change to improve quality of life all across the globe. Welcome to Bosch!
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.
The pay range for this position is based on credit hours ranging from $19.00-$26.00
BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives