Data Analytics Intern — Engineering & Production Insights

Robert Bosch Group; Lincolnshire (IL); On-site; USD 26,000 - 36,000; Full time

Job summary

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.

Qualifications

• Pursuing a Bachelor's degree in a relevant field (Data Science, Business, Analytics or Finance).
• Experience with data analysis and data visualization concepts from coursework or projects.
• Proficiency in Excel (PivotTables, VLOOKUPs, basic macros) and familiarity with Power BI or Tableau.
• SQL knowledge for data extraction and reporting.

Responsibilities

• Extract, clean, and format high-volume test data from data acquisition systems.
• Design and build automated dashboards to display KPIs such as QPPM, FPY, and OEE.
• Collaborate with data analysis and engineering teams on data flow to end-user reports.
• Identify trends, anomalies, and bottlenecks to improve testing throughput.
• Gather and format historical sales data and forecast market projections for ROI analyses.
• Develop preliminary ROI models to justify capital expenditures for new testing equipment.

Skills

Data analysis

Data visualization

Excel PivotTables

Power BI

Tableau

SQL

Communication

Manufacturing environment

Education

Bachelor's degree in Data Science/Business Analytics/Finance or related field

Tools

Power BI

Tableau

Job description

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.