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Detroit Metro

Internship

Onsite

Intern

Stoneridge is a company that designs and manufactures advanced technologies for vehicle OEMs across various markets. They are offering an internship that provides students with hands-on experience in data analytics and its application in business planning, while also supporting ongoing business challenges.

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Responsibilities

Engage with cross-functional teams including Sales, Product Line Management, Operations, Finance, Purchasing, and Engineering to develop, implement, and manage data analysis strategies
Use data tools including Campfire (Forecasting), JDE (ERP), PowerBI (Analysis), and S&P Global (outside 3rd party market data) to analyze data, draw conclusions, and develop actions for the cross-functional team
Under the guidance and support of team leaders, assist in the development and communication of Business Process improvements between Sales, Product Team Lead and Project Management
Support real-time business operations including bookings, product line profitability, new business opportunity management, and pricing analysis

Qualification

Required

Must be a full-time student at an accredited University pursuing a minimum of a bachelor's degree
Maintain a 3.0 GPA or better, and complete a minimum of two years of Postsecondary education or first year if master's degree
Proficient with MS Office tools. Intermediate Excel skills a must. Must know how to make charts, pivot tables, use formulae such as VLOOKUP, XLOOKUP, index functions, etc
Available to work 40 hours a week during summer, 20 hours per week during school
Available to work in a hybrid setting out of Novi headquarters
Must be detail oriented and a self-starter
Must be able to interpret and explain data analyzed to technical and non-technical audiences alike
Good communication skills, willingness to interact with global, cross-functional teams regularly

Preferred

Data analytics, business analytics, business administration, supply chain management, or industrial engineering concentration preferred
Familiarity with data mining tools such as Power BI, power query, VBA, SQL, or Python preferred