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Finance Intern; Year-Round

Job in Auburn Hills, Oakland County, Michigan, 48326, USA
Listing for: BorgWarner
Apprenticeship/Internship position
Listed on 2026-10-10
Job specializations:
  • Retail
    Financial Reporting, Financial Analyst
Salary/Wage Range or Industry Benchmark: 25000 - 39000 USD Yearly USD 25000.00 39000.00 YEAR
Job Description & How to Apply Below
Position: Finance Intern (Year-Round)

Position Finance Intern – PDS (Year-Round) Location Auburn Hills, MI

About us

Borg Warner is a global product leader in delivering innovative and sustainable mobility solutions for the vehicle market. We are a company of innovators and independent thinkers that brings together talented employees, meaningful work, and amazing technology in a unique environment. At Borg Warner we constantly work towards our vision of a clean and energy-efficient world.

Our Culture

We believe health and safety of our employees are a top priority, we care about our local communities and the global environment. Borg Warner promotes and nurtures a diverse and inclusive environment, honors integrity, strives for excellence, commits to responsibility for our communities and the environment, and builds on the power of collaboration.

Career Opportunities

We manage talent as seriously as we manage our businesses and encourage you to learn about our proud history, strong culture, technologies and future vision. We offer a strong local presence and interesting global opportunities. Start your future with Borg Warner now!

Job purpose

Borg Warner Power Drive Systems is currently seeking a Finance Intern to join our Power Drive System business unit team. The intern will support the Finance team with financial analysis, reporting, and process improvement initiatives. This role is ideal for a student with a good foundation in finance or accounting who is eager to leverage AI-driven tools, data analytics, and automation to improve financial insights, efficiency, and decision-making.

The intern will gain hands‑on experience in a global manufacturing environment, supporting activities such as month‑end close, forecasting, dashboards, cost analysis, and ad‑hoc management reporting, while applying AI tools to streamline and enhance finance processes.

Key responsibilities
  • Utilize AI tools (e.g., Copilot, ChatGPT style tools, Power BI AI features) to:
  • Automate data preparation and recurring analysis, generate insights and explanations for financial trends and improve efficiency in reporting and documentation
  • Support enhancement of Power BI dashboards, Excel models, and analytical templates.
  • Identify opportunities for process automation or standardization using AI and digital tools
  • Assist with month‑end close activities, including journal entries, reconciliations, and variance analysis.
  • Integrate data from multiple data sources into relevant reports
  • Use SAP to prepare monthly intercompany AR confirmations and send to each reporting unit
  • Reconcile GL balances in SAP and One Stream monthly
  • Reconcile journal entries in journal entry tracker to entries posted in SAP
  • Prepare monthly account reconciliations for prepaid assets, accrued liabilities, and intercompany receivable/payables
  • Collaborate with cross functional teams (Supply Chain, Operations, Engineering) on data‑driven initiatives
What we’re looking for
  • Working knowledge of Microsoft Excel (e.g., VLOOKUP/XLOOKUP, IF statements, Pivot Tables) and comfort working with large datasets to compare results and research variances.
  • Strong quantitative aptitude and attention to detail, with an interest in checking data for accuracy, completeness, and consistency.
  • Analytical and problem‑solving skills, with the ability to prioritize tasks and meet deadlines in a fast‑paced environment (with guidance and support).
  • Proactive mindset and willingness to learn; able to identify improvement ideas and support small process or reporting enhancements under supervision.
  • Clear written and verbal communication skills.
  • Interest in AI‑assisted analysis and automation (e.g., Microsoft Copilot) and willingness to learn prompt basics, evaluation, and documentation of AI‑assisted workflows.
  • Exposure to or interest in creating…
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