Business Intelligence & Insights Intern

Job Description

Business Intelligence Intern | Eurofins Viracor BioPharma Services

The Tone:
This is an internship position at Eurofins Viracor BioPharma Services, located in Lancaster, PA, with a hybrid work model requiring some on-site presence. Eurofins Scientific is an international life sciences company, a global leader providing analytical testing services across various industries, including food, environment, pharmaceutical, and cosmetics. This role is crucial for supporting the Business Intelligence and Insights team in creating data and analytics solutions that transform information into practical, actionable insights for the organization.

The TL;DR
• Role: Internship
• Type: Full-time (summer), Part-time (school year potential)
• Location: Hybrid, Lancaster, PA
• Pay: $14 hourly
• Team: Business Intelligence & Insights team
• Mission: Develop data and analytics solutions to help the organization turn information into actionable insight.
• Tech Stack: Microsoft Power BI, Microsoft Fabric, SQL, Excel, Power Query, DAX, Python, R, Azure data services

What You’ll Actually Do
• Report Development: 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 prepare, validate, and analyze data to identify trends and answer business questions.
• Documentation & Quality: Help document report requirements, model assumptions, data sources, calculations, and business logic, while supporting data quality review activities.
• Collaboration & Learning: Collaborate with team members to understand assigned work, communicate progress, and learn how BI artifacts are planned, developed, reviewed, and delivered in a professional team environment.

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, with a strong academic interest in data, analytics, databases, or business intelligence.
• 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. Coursework or projects involving structured data, data analysis, SQL, Power BI, Python, or Excel are also preferred.
• Skills: Strong analytical and problem-solving skills, the ability to learn new technical tools, data concepts, and team processes, clear written and verbal communication skills, attention to detail when working with data and reports, and the ability to work collaboratively with team members.
• Bonus: Exposure to Power BI, dashboards, or data visualization; experience 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 data platforms; familiarity with Excel, Power Query, DAX, Python, or R; and an interest in business intelligence, analytics, or AI-enabled analytics.