Data Analyst Spring Internship

U-Haul•Phoenix, AZ

3d•Onsite

About The Position

U-Haul is hiring a Data Analyst intern for its Spring 2027 Internship Program. The position is fully on-site in Phoenix, Arizona, at 2721 N Central Ave. The program runs from February 1 through April 30, 2027, and pays $17 per hour. The intern will gain hands-on experience supporting ETL workflows, data pipelines, SQL development, data quality, and data integration, with mentorship and networking opportunities. Applicants must be legally authorized to work in the United States and must not require employer sponsorship. Candidates are expected to complete interviews and assessments independently without AI tools. U-Haul will not hire or re-hire nicotine users in Arizona and other listed states, consistent with applicable state law. U-Haul is an equal opportunity employer and provides accommodations for applicants participating in the selection process.

Requirements

Currently pursuing a bachelor's degree in Information Technology, Computer Science, Data Analytics, Information Systems, or a related technical field.
Basic knowledge of relational databases and SQL.
Must be legally authorized to work in the United States and must not require employer sponsorship.
Must complete interviews and assessments independently without using artificial intelligence tools.

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.