Supply Chain Data & Analytics Intern (Power BI | SQL | Python)

Bosch Group•Plymouth Charter Township, MI

8d•Onsite

About The Position

We are seeking a highly motivated and analytical Supply Chain & Logistics Analytics Intern to join our VM/LOG-AM corporate logistics team. You will report to the Logistics Innovation Lead and play a key role in transforming our supply chain operations through data. Your work will directly support our manufacturing plants across the Americas by turning complex data into actionable insights and helping to embed a data-driven culture throughout the organization.

Requirements

Must be currently enrolled in an accredited university pursuing a Bachelor's degree in Supply Chain Management or Business (with a minor/focus in analytics) OR a major in Data Science or Computer Science (with a minor/focus in business).
Advanced proficiency in SQL and Python for data extraction, manipulation, and analysis.
Experience with data visualization tools such as Power BI, Tableau, or similar platforms (e.g., Qlik, Looker).
Strong foundational understanding of supply chain operations and business principles.
A GPA of 3.0 or higher.
Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable.

Nice To Haves

Experience with predictive analytics, forecasting, or machine learning models.
Experience with Microsoft Power Platform (e.g., Copilot Studio, Power Automate, Power Apps, Power Pages)
Proficiency in creating visualizations using Python libraries like Plotly, Seaborn, or Matplotlib.
Ability to connect data insights with business operations and communicate effectively to management and other stakeholders.
Candidates must have flexibility for limited domestic and international travel.
A valid passport is required for potential travel to sites in Mexico, Brazil, or Germany.

Responsibilities

Support the Logistics Innovation team by leveraging data analytics to drive decision-making across our manufacturing sites in the U.S., Mexico, and Brazil.
Design, build, and maintain interactive dashboards using tools like Power BI or Tableau to visualize key supply chain and logistics metrics for plant management and other stakeholders.
Collaborate with plant personnel to understand their operational challenges and provide analytical support for supplier escalations, inventory reduction, and material flow optimization.
Apply predictive analytics techniques to identify potential supply chain bottlenecks and support task force management activities.
Assist in training teams on how to effectively use new data tools and analytics platforms.
Contribute to cross-functional logistics innovation projects, helping to identify and share best practices across our network of plants.