Data Science & Analytics Intern - Fall 2026

Internship Summary Are you looking for an internship that provides real life experience? Phoenix Contact's Corporate Management Team is seeking a highly analytical and business-oriented Data Science & Analytics Intern to support strategic initiatives across Product Management, Operations, Sales, and Marketing. This role is ideal for students who enjoy combining technical data skills with business problem solving to identify trends, uncover opportunities, and recommend actions. Our Fall (Sept – Dec) interns work full time with the opportunity to continue through Spring. We strongly prefer candidates who can work onsite regularly to accelerate learning, collaboration, and business understanding. What does a typical day look like? Onsite Day Meet with Product Management, Operations, Manufacturing, Sales, or AEP teams to understand business challenges and decision-making needs. Analyze customer, product, pricing, operations, supply chain, and financial data to identify trends, root causes, and improvement opportunities. Translate ambiguous business questions into structured analytical approaches. Work directly with leadership and subject matter experts to understand product portfolios, operational processes, and customer dynamics. Build dashboards, predictive models, business cases, and executive-level recommendations. Present findings, risks, and recommended actions to stakeholders. Remote day: Deep analytical work including: Data mining and exploration Statistical analysis Predictive modeling Data cleansing and transformation AI-assisted analytics and automation Develop Power BI dashboards and self-service reporting tools. Prepare executive-ready presentations and recommendations. Document assumptions, methodologies, and business insights What makes this internship unique? Phoenix Contact is a global technology leader where interns work on real business challenges that impact customers, products, and operations. Unlike many internships focused solely on reporting, you will: Work directly with Product Managers, Operations Leaders, and Executive stakeholders. Gain exposure to product management, manufacturing, supply chain, sales, customer trends, and strategic planning. Learn how data drives investment, pricing, portfolio, and operational decisions. Apply AI, analytics, and business intelligence tools in a real enterprise environment. Present insights and recommendations to leadership. Build a portfolio of meaningful business analytics projects. Be considered for future Data Analyst, Data Scientist, Product Analyst, Product Manager, or Business Intelligence roles. Must-Have Qualifications Pursuing a Bachelor's or Master's degree in: Data Science Analytics Computer Science Information Systems Artificial Intelligence Industrial Engineering Statistics Applied Mathematics Business Analytics Advanced Excel skills including Power Query, Pivot Tables, and data…