Data Analyst

Role overview

U-Haul is seeking a Data Analyst to help assess and enhance its products and services. In this position, you will work closely with data scientists, engineers, and business partners to apply large-scale analytics and a scientific approach to solving business problems.

The role centers on understanding complex business processes, developing new solutions, analyzing both structured and unstructured information, creating descriptive analysis and dashboards, and building models for prediction and inference. You will also be expected to adopt emerging tools quickly, contribute ideas across teams, and help strengthen the group’s overall analytics capability.

Key responsibilities

• Build tables and automated jobs with Spark SQL and Python to support reporting and analysis.
• Create interactive dashboards with drill-down capabilities to surface important patterns and business insights.
• Partner with leaders and subject-matter experts to define business questions, shape analysis plans, identify outputs, and present findings.
• Develop and implement suitable data science methods for business problems such as classification, regression, clustering, recommendation, sentiment analysis, and neural networks.
• Explain complex technical ideas clearly and confidently to non-technical audiences.
• Work with business teams to define success metrics for model evaluation.
• Collaborate with data engineers to prepare datasets for analysis and prediction.
• Produce visualizations, reports, and presentations that communicate analytical results effectively.
• Learn new technologies and tools quickly and put them into practice.
• Help guide U-Haul’s data initiatives and contribute technical leadership where needed.
• Share expertise and help develop the team’s advanced analytics and evaluation skills.
• Manage varied work demands independently and perform well under pressure.

Additional analytical duties

• Create mathematical or simulation-based models by defining variables, constraints, alternatives, and competing objectives.
• Test and validate models, then refine them when needed.
• Work with senior leaders and decision-makers to clarify objectives and solve operational problems.
• Present modeling results and data analysis findings to management and other end users.
• Support implementation of selected solutions across the organization.
• Translate management information into well-defined operational problem statements.
• Compare possible courses of action to determine the most effective option.
• Prepare management reports that evaluate issues and recommend solutions.
• Define data needs, collect and verify information, and apply judgment and statistical testing.
• Study current operations from multiple information sources to identify component issues.
• Break systems into parts, assign values to each part, and evaluate mathematical relationships.
• Design, run, and assess experimental operational models when existing data is insufficient.
• Train staff on the use of mathematical models.
• Specify computational or analytical methods for applying models.
• Use time and cost network techniques to plan, control, and review large projects.
• Develop business procedures such as accounting systems, file systems, logistics systems, and production schedules.

Qualifications

This role calls for a master’s degree from an accredited college or university in Business Analytics, Computer Science, Statistics, Mathematics, Engineering, or a related discipline, along with 3 years of relevant experience. Candidates should have proven hands-on experience with SQL and Python, as well as Power BI and Databricks. Experience processing and analyzing both structured and unstructured data is required.

The position also expects familiarity with common statistical and machine learning methods, plus substantial depth in at least one of those areas through industry work or academic research. Strong oral and written communication skills are important, along with comfort working through ambiguity and change. A high level of drive, confidence, commitment, energy, and flexibility is also expected.

Benefits and perks

• Medical insurance and prescription drug coverage.
• Dental and vision coverage, including hearing care discounts.
• Onsite medical clinic for team members and eligible family members.
• Access to a new indoor fitness gym at the Midtown Phoenix campus.
• Gym reimbursement through the Get Fit program.
• Registered Dietitian Program and WeightWatchers® support.
• CVS Virtual Care, U-Haul Kids Program, and a 24-hour nurse line.
• Wellness initiatives, including Healthier You challenges and activities.
• Mindset app reimbursement, pet insurance, and wellness plans.
• Career stability, advancement opportunities, and hands-on training.
• Tuition reimbursement and free online learning through U-Haul University®.
• 401(k) savings plan, employee stock ownership plan, and company-paid life insurance.
• Optional life insurance, short-term and long-term disability coverage, and additional protection plans.
• Business and business travel insurance, legal program access, auto and home insurance, and identity theft protection.
• Financial wellness support through Dave Ramsey’s SmartDollar® and access to U-Haul Federal Credit Union.
• Paid holidays, vacation, sick leave, employee assistance, discounts, volunteer opportunities, and paid maternity leave through the U-Haul Mothers Program.

Work location

This is an onsite position based in Phoenix, Arizona.