As one of the fastest-growing and most exciting brands in the industry, Crash Champions is the largest founder-led multi-shop operator (MSO) of high-quality collision repair service in the U.S. The company, which also operates the growing Crash Champions LUXE | EV Certified brand of highline and luxury EV repair centers, services customers at more than 650 state-of-the-art locations in 38 states across the U.S. Crash Champions was founded in 1999 as a single Chicago repair center by industry veteran and 2023 EY Entrepreneur of the Year Midwest award winner Matt Ebert. For more than 25 years, our vision has been anchored by the belief that delivering superior collision repair service is about People First. Welcome to Crash Champions. We Champion People. 

JOB PURPOSE: The Data Analytics Intern will support the Data Analytics team in building, maintaining, and analyzing data solutions that drive operational and strategic decision-making. You will partner closely with a Senior Data Engineer and cross-functional stakeholders to work with real-world datasets, contribute to reporting, and gain exposure to modern data architecture and tools.

This is a high-impact, hands-on internship designed to build foundational skills in SQL, data modeling, reporting, and data pipelines.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Assist in developing and maintaining SQL queries, datasets, and data transformations to support reporting and analytics initiatives
• Support the creation of dashboards and reports (Power BI or similar tools) to communicate insights across the business
• Work with the Data Engineering team to understand and contribute to ETL/data pipeline processes and data integration from multiple sources (APIs, flat files, internal systems)
• Help validate data accuracy, troubleshoot discrepancies, and ensure data quality and consistency
• Participate in Agile ceremonies (stand-ups, sprint planning) and collaborate across teams
• Assist in documenting data processes, data dictionaries, and workflows
• Analyze datasets to identify trends, patterns, and opportunities to improve business performance
• Translate business questions into data-driven insights with guidance from senior team members

What You’ll Learn

• How enterprise data platforms are built (data warehouses, ETL, data modeling)
• Hands-on experience with SQL Server, Azure data tools, and BI platforms
• How to turn raw data into actionable insights for operations, finance, and leadership teams
• Exposure to Kimball data modeling, data pipelines, and reporting architecture
• Best practices in data governance, documentation, and stakeholder communication

Qualifications

Required:

• Currently pursuing a degree in Data Analytics, Computer Science, Information Systems, Mathematics, Economics, or related field
• Basic knowledge of SQL and relational databases
• Strong analytical and problem-solving skills
• Detail-oriented with a focus on accuracy and data integrity
• Ability to communicate findings clearly (written and verbal)
• Comfortable working in a fast-paced, collaborative environment

Preferred:

• Exposure to Power BI, Tableau, or other data visualization tools
• Familiarity with Excel, Python, or data analysis tools
• Basic understanding of data warehousing or ETL concepts
• Interest in learning Azure, data pipelines, and enterprise data systems

The Company offers the following benefits for this position, subject to applicable eligibility requirements and annual updates:

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Group Life Insurance

We are committed to providing competitive compensation for this role. The actual offer will be based on various factors, including but not limited to: job related knowledge, skills, experience, relevant certifications and qualifications.

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.