Business Intelligence Intern

Job Description

The Business Intelligence & Insights Intern will support the Business Intelligence and Insights team in developing data and analytics solutions that help the organization turn information into actionable insight. This role is designed for a student with sophomore standing or higher pursuing a degree in Computer Science, Electrical Engineering, Computer Engineering, Data Science, Information Systems, or a closely related technical field.

The intern will work with the BII team to support the development of assigned business intelligence artifacts, including Power BI reports and dashboards, semantic models, data models, database-driven analysis, and related documentation. The role will provide practical exposure to modern BI and data platform practices, including Microsoft Power BI, Microsoft Fabric, structured datasets, and potentially real-time analytics depending on team priorities.

Position & Objectives

• Support the Business Intelligence and Insights team in the development of assigned BI and analytics artifacts.
• Assist with the creation, enhancement, testing, and documentation of Power BI reports and dashboards.
• Support the development and refinement of semantic models and data models used for reporting and analysis.
• Work with structured data sources and databases to help prepare, validate, and analyze data.
• Assist with analytical analysis to identify trends, answer business questions, and support data-driven decision-making.
• Gain practical experience with Microsoft Power BI, Microsoft Fabric, databases, and modern BI/data platform practices.
• Support data quality review activities, including checking report outputs, validating data logic, and identifying inconsistencies.
• Help document report requirements, model assumptions, data sources, calculations, and business logic.
• Collaborate with team members to understand assigned work, ask appropriate questions, and communicate progress or blockers.
• Contribute to real-time or near-real-time analytics activities when needed by the team.
• Learn how BI artifacts are planned, developed, reviewed, and delivered in a professional team environment.
• Deliver assigned BI artifacts with quality, professionalism, and attention to detail.

Qualifications

Candidate must be able to come in at least 1 day every other week on-site at Lancaster, PA.

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. Strong academic interest in data, analytics, databases, reporting, business intelligence, or related technical areas.

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, Excel, or similar tools is preferred.

Required Skills

• Ability to work full-time during the summer, with potential part-time availability during the school year.
• Strong analytical and problem-solving skills.
• Ability to learn new technical tools, data concepts, and team processes.
• Ability to work collaboratively with team members and complete assigned work.
• Clear written and verbal communication skills.
• Attention to detail when working with data, reports, documentation, and analysis.
• Willingness to ask questions, receive feedback, and improve work products.

Desired Skills

• Exposure to Power BI, dashboards, reporting, or data visualization.
• Exposure to 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.