Acquisitions & Reporting Analyst

Storage Operations is seeking a driven analytical and detail-oriented individual with strong technical and communication skills for a full-time Acquisitions & Reporting Analyst position. This is an exciting and challenging opportunity to support executive-level decision-making contribute to high-impact valuation work and build robust data systems that drive continuous improvement across our storage portfolio.

This role is ideal for someone who is self-motivated curious and energized by solving new and complex problems. You will work in a fast-paced environment committed to continuous improvement. Successful candidates will bring a strong analytical mindset a love of learning and the ability to thrive in both independent and collaborative settings.

This position is NOT ELIGIBLE for visa or immigration sponsorship including student Optional Practical Training (OPT). This position requires full-time in-person attendance at U-Hauls campus in Phoenix Arizona.

Responsibilities and Duties

This list is not exhaustive and may be supplemented as necessary.

Business Intelligence Analysis & Reporting

• Build monitor and maintain automated data pipelines that support current and future reporting needs.

• Develop dashboards and reporting tools using SQL Server Python Excel (including macros) Azure Databricks Power BI and internal dashboards.

• Write and validate SQL queries create tables and design data structures to support analytics.

• Use Python (or R with willingness to learn Python) and modern data tools to improve automation and analytical workflows.

• Conduct rigorous quality control testing on datasets and reporting products.

• Collaborate closely with multiple business units to translate analytical findings into clear actionable insights.

Management of Rent Schedules

• Create new rent schedules and update existing schedules on a recurring basis.

• Maintain core pricing standards and ensure consistent application across the portfolio.

• Implement approved rent changes into internal systems and maintain upload programs.

• Monitor post-implementation performance to ensure alignment with financial targets.

• Complete weekly review cycles and conduct annual reviews for all locations.

Financial Analysis of Acquisitions

• Review and analyze existing storage facilities to recommend purchase prices using established valuation models.

• Update and improve valuation models as needed to enhance accuracy and efficiency.

• Conduct market and demographic research including competitor analysis and local economic trends.

• Research property taxes parcel maps and parcel ownership information for due diligence.

• Prepare written valuation summaries and clearly present findings to senior leadership.

• Support acquisition due diligence efforts by gathering data validating assumptions and confirming property-level details.

• Over time work toward becoming an owner of key reporting datasets and pipeline processes.

Additional Responsibilities

• Communicate findings to both technical and non-technical audiences clearly and effectively.

• Independently tackle loosely defined analytical problems and develop creative data-driven solutions.

• Participate in continuous process improvement by proposing and implementing new methods tools and workflows.

• Keep abreast of current industry trends and best practices; make recommendations for self-development.

• Perform other job-related duties as assigned.

Qualifications

• Bachelors degree in Business Finance Information Systems Data Analytics or a related field.

• 3 years of relevant professional experience.

• Strong critical thinking ability and comfort working through complex loosely defined problems.

• Proficiency in SQL for writing queries and performing data extraction (including table design and basic data structures).

• Proficiency in Python for analytical and automation tasks (R also acceptable with willingness to learn Python).

• Advanced knowledge of Microsoft Excel including VBA macros.

• Excellent written and verbal communication skills with the ability to present findings to senior leadership and non-technical audiences.

• Strong organizational skills with the ability to independently manage priorities and deadlines.

• Demonstrated ability to learn quickly ask thoughtful questions and pursue continuous improvement.

Preferred

• Masters degree in business Finance Information Systems Data Analysis or related field.

• Experience with Databricks Power BI and/or other visualization platforms.

• Familiarity with GIS tools.

• Familiarity with HTML CSS JavaScript and related data structures for datamining.

• Experience supporting financial valuation underwriting or real estate-related analytics.

• Experience in developing or maintaining automated data pipelines.

Perks of Joining U-Haul

Get your career moving with a company that empowers team members to become the healthiest versions of themselves. We provide robust wellness benefits events and resources to support personal and professional growth.

Programs available include:

• Full medical coverage

• New indoor fitness gym

• Onsite medical clinic for you and your family

• Career stability

• Opportunities for advancement

• Prescription plans

• Dental & vision plans

• YouMatter Employee Assistance Program

• Paid holidays vacation and sick days

• Employee Stock Ownership Plan (ESOP)

• 401(k) Savings Plan

• Life insurance

• Critical Illness/Group Accident coverage

• Subsidized gym membership

• MetLaw legal program

• LifeLock identity theft protection

• Tuition reimbursement

• Free online courses through U-Haul University

• Wellness programs covering healthcare and financial wellness

U-Haul is an equal opportunity employer. All applications for employment will be considered without regard to race color religion sex orientation gender identity 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.