Business Intelligence & Insights Intern

Job Description

Business Intelligence Intern | Eurofins BioPharma Product Testing North America

The Tone:
This is a hybrid internship at Eurofins BioPharma Product Testing North America, located in Lancaster, PA. Eurofins Scientific is an international life sciences company providing a unique range of analytical testing services to clients across multiple industries, working to make life and our environment safer, healthier, and more sustainable. As a global leader in various product testing services, Eurofins helps ensure the safety, authenticity, and accuracy of products from food and water to medicines. This role supports the Business Intelligence and Insights team in developing data and analytics solutions, which are crucial for transforming company information into actionable insights for decision-making.

The TL;DR
• Role: Internship
• Type: Full-time during summer, potential part-time during school year (Monday-Friday 8:00am-5:00pm)
• Location: Hybrid, Lancaster, PA (at least 1 day every other week on-site)
• Pay: $14.00 per hour
• Team: Business Intelligence and Insights team
• Mission: Develop data and analytics solutions that help the organization turn information into actionable insight.
• Tech Stack: Microsoft Power BI, Microsoft Fabric, structured datasets, SQL, Excel, Power Query, DAX, Python, R, Azure data services

What You’ll Actually Do
• Artifact Development: Support the Business Intelligence and Insights team in developing assigned BI and analytics artifacts.
• Report Creation: Assist with the creation, enhancement, testing, and documentation of Power BI reports and dashboards.
• Data Modeling: Support the development and refinement of semantic models and data models used for reporting and analysis.
• Data Analysis: Work with structured data sources and databases to help prepare, validate, and analyze data to identify trends and answer business questions.
• Quality & Documentation: Support data quality review activities and help document report requirements, model assumptions, data sources, and business logic.

The Must-Haves
• Background: Currently pursuing a degree with sophomore standing or higher in Computer Science, Electrical Engineering, Computer Engineering, Data Science, Information Systems, Mathematics, Statistics, or a closely related technical field.
• Experience: No prior professional experience is required. Prior academic, internship, project, or personal experience working with data, databases, dashboards, reporting tools, programming, or analytics is preferred. Experience completing coursework or projects involving structured data, data analysis, SQL, Power BI, Python, or Excel is also preferred.
• Skills: Strong analytical and problem-solving skills; ability to learn new technical tools, data concepts, and team processes; clear written and verbal communication skills; attention to detail when working with data, reports, and documentation; ability to work collaboratively with team members.
• Bonus: Exposure to Power BI, dashboards, reporting, or data visualization; familiarity with SQL, relational databases, or structured data analysis; familiarity with data modeling or semantic modeling concepts; exposure to Microsoft Fabric, Azure data services, or other cloud-based data platforms; familiarity with Excel, Power Query, DAX, Python, R, or similar analytical tools; interest in business intelligence, analytics, real-time analytics, or AI-enabled analytics; experience documenting technical work, report logic, data sources, or project assumptions.