This isn't a coffee-and-spreadsheets internship. As our Data Analyst Intern, you'll sit at the intersection of data, strategy, and design — helping real teams understand what's working and what isn't. You'll contribute to live Power BI dashboards, dig into messy datasets, and walk away having shaped decisions that matter.

Working closely with our Business Intelligence team, you'll collaborate across departments and build the kind of cross-functional fluency that separates good analysts from great ones. This position is designed to provide practical, hands-on exposure to BI tools, data management practices, and professional collaboration.

PRIMARY RESPONSIBILITIES

Data Analysis and Visualization

Build and maintain Power BI reports and dashboards that meet business requirements. Transform raw data into clear, compelling visualizations and contribute to documentation of BI processes and systems.

Requirements and Discovery

Collaborate with business users and stakeholders to understand analytics needs. Help translate those needs into technical requirements and assist in identifying key performance indicators (KPIs) and metrics relevant to departmental goals.

Data Quality and Management

Extract, clean, and validate data from various sources to ensure accuracy and completeness. Maintain data models, datasets, and calculations within Power BI to support ongoing reporting and analytics needs.

Performance and Troubleshooting

Identify and resolve data-related issues alongside senior team members. Learn best practices in data modeling, DAX coding, and query optimization in a hands-on professional environment.

Training and Continuous Learning

Support end-user training and documentation efforts. Stay current with Power BI features, industry trends, and BI best practices as part of ongoing professional development.

EDUCATION AND EXPERIENCE

- Currently pursuing a Bachelor's degree in Computer Science, Information Technology, Business Analytics, Data Science, or a related field (required)

- Coursework or academic exposure to data analysis, statistics, or business intelligence concepts (preferred)

- Basic familiarity with Power BI, Tableau, or similar data visualization tools (a plus)

- Exposure to SQL or data querying concepts (a plus; formal experience not required)

KNOWLEDGE, SKILLS, AND ABILITIES

- Foundational understanding of data analysis concepts and data visualization principles

- Strong analytical thinking and attention to detail

- Eagerness to learn BI tools, DAX, and data modeling in a professional setting

- Effective verbal and written communication skills with the ability to present findings clearly

- Ability to collaborate with cross-functional teams and work both independently and cooperatively

- Strong organizational skills with the ability to manage multiple tasks

PREFERRED QUALIFICATIONS

- Coursework, personal projects, or academic experience involving Power BI, Tableau, or QlikView

- Exposure to data warehousing or ETL concepts through coursework or self-study

- Interest in machine learning, predictive analytics, or advanced data science concepts

- Power BI or related BI tool certification, or certification in progress

PHYSICAL REQUIREMENTS AND WORK ENVIRONMENT

- Primarily an office environment

- Prolonged periods of sitting and working at a computer