Data Science & Analytics Intern - Fall 2026
About The Position
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.
Requirements
- 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 modeling
- Experience with Power BI, Tableau, MicroStrategy, or similar BI platforms
- Strong SQL and database fundamentals
- Experience using AI productivity and analysis tools (Microsoft Copilot, ChatGPT, Claude, etc.)
- Strong analytical problem-solving skills
- Ability to translate business problems into analytical solutions
- Comfortable presenting insights and recommendations to business stakeholders
- Intellectual curiosity and willingness to learn products, markets, and operational processes quickly
Nice To Haves
- Experience with Python, R, or other analytical programming languages
Responsibilities
- 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.
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
