Data Analyst Spring Internship

Return to Job Search

Data Analyst Spring Internship

To ensure a fair and consistent evaluation process, candidates are expected to complete all interviews and assessments independently and without the use of artificial intelligence tools (including AI-generated responses, prompts, or real-time assistance). Use of AI throughout the application and recruiting process may result in removal from consideration. Our goal is to get to know your authentic experiences, communication style, and problem-solving approach.

Launch your career with our Spring 2027 Internship Program!

Ready to gain real-world experience and make an impact from day one? Our internship program offers hands-on projects, mentorship from industry professionals, networking opportunities, and meaningful work that helps you grow both personally and professionally. Join a team that values innovation, collaboration, and developing future talent.

Location: This role will be fully on-site in Phoenix, Arizona.

Program Dates: The Spring Internship program will run from February 1st through April 30th.

Compensation: This position is offered at $17 per hour.

Primary Responsibilities:

• Assist in developing and maintaining ETL workflows and data pipelines.
• Create, test, and document SQL queries, stored procedures, and data transformations.
• Support data extraction from operational systems, APIs, flat files, and databases.
• Validate data accuracy, completeness, and integrity throughout ETL processes.
• Troubleshoot data load failures and perform root cause analysis.
• Assist in monitoring scheduled ETL jobs and data integration processes.
• Participate in data cleansing, data profiling, and quality assurance activities.
• Collaborate with business analysts and data engineers to understand reporting requirements.
• Help maintain data dictionaries, process documentation, and technical specifications.
• Participate in testing and deployment of ETL enhancements.

Qualifications:

• Currently pursuing a bachelor's degree in:

• Information Technology

• Computer Science

• Data Analytics

• Information Systems

• Related technical field

• Basic knowledge of relational databases and SQL.

#LI-LS1

U-Haul is an equal opportunity employer. All applications for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state, or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.