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About the Role

Evaluate and improve U-Haul’s products and services by interacting with multi-disciplinary teams. Apply big data analytics and scientific rigor to understand business functions, create solutions, analyze data, develop descriptive analysis, dashboards, and models for inference and prediction. Embrace new technologies, deliver smart solutions, collaborate, and share knowledge to foster team growth.

Responsibilities

• Engineer tables and jobs using Spark SQL and Python for analysis and reporting.
• Create interactive and drill-down dashboards to deliver key trends and insights to stakeholders.
• Collaborate with leaders and domain experts to identify business needs, create an analysis plan, define deliverables, and communicate key insights.
• Design and implement data science models appropriate to business challenges (classification, regression, unsupervised learning, recommendation systems, sentiment analysis, neural network).
• Communicate complex technical concepts to stakeholders with confidence and integrity.
• Work with business stakeholders to determine metrics for evaluating models.
• Work with data engineers to create datasets for insight and prediction.
• Build data visualizations, reports, and presentations.
• Rapidly learn and implement new technologies and tools.
• Provide leadership to help shape data initiatives across U-Haul.
• Share and teach skills around advanced data analytics and data evaluation.
• Handle a variety of responsibilities under pressure and function independently.
• Formulate mathematical or simulation models of problems, relating constants, variables, restrictions, alternatives, conflicting objectives, and numerical parameters.
• Perform validation and testing of models to ensure adequacy, and reformulate models as necessary.
• Collaborate with senior managers and decision makers to identify and solve problems and clarify management objectives.
• Present the results of mathematical modeling and data analysis to management or other end users.
• Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
• Analyze information obtained from management to conceptualize and define operational problems.
• Study and analyze information about alternative courses of action to determine optimal outcomes.
• Prepare management reports defining and evaluating problems and recommending solutions.
• Define data requirements, gather and validate information, apply judgment and statistical tests.
• Observe current systems in operation, gather and analyze information about component problems using various sources.
• Breakdown systems into components, assign numerical values, and examine mathematical relationships between them.
• Design, conduct, and evaluate experimental operational models when models cannot be developed from existing data.
• Educate staff in the use of mathematical models.
• Specify manipulative or computational methods to be applied to models.
• Develop and apply time and cost networks to plan, control, and review large projects.
• Develop business methods and procedures, including accounting systems, file systems, logistics systems, and production schedules.

Requirements

• Master’s degree from an accredited college/university in Business Analytics, Computer Science, Statistics, Mathematics, Engineering, or related fields.
• 3 years of relevant experience.
• Proven experience in SQL and Python.
• Proven experience in Power BI and Databricks.
• Proven experience processing and analyzing structured and unstructured data.
• Exposure to and familiarity with common statistical and machine learning techniques.
• Substantial depth in one or more statistical or machine learning techniques with past industry projects and/or academic research.
• Ability to communicate and present both orally and in writing.
• Comfortability with ambiguity and change.
• High degree of drive, energy, self-confidence, commitment, and flexibility.

Skills

• Spark SQL
• Python
• Power BI
• Databricks
• SQL
• Statistical techniques
• Machine learning techniques
• Data visualization
• Data analysis
• Mathematical modeling
• Problem-solving
• Oral communication
• Written communication
• Presentation skills
• Leadership
• Teaching
• Independent work
• Time and cost network development
• Business methods and procedures development

Location

• 2727 N Central Ave, Phoenix, Arizona 85004, United States of America

Experience Level

• 3 years of relevant experience

Education Level

• Master’s degree in Business Analytics, Computer Science, Statistics, Mathematics, Engineering, or related fields

Benefits

• Medical insurance
• Prescription drug plans
• Dental plan with hearing care discounts
• Vision plan with hearing care discounts
• Onsite medical clinic for team members and eligible family members
• New indoor fitness gym (Midtown Phoenix campus)
• Get Fit Gym Reimbursement Program
• Registered Dietitian Program
• WeightWatchers®
• CVS Virtual Care
• U‑Haul Kids Program
• 24‑Hour Nurse Line
• Wellness Program (Healthier You initiatives & challenges)
• Mindset App Reimbursement
• Pet Insurance
• Pet Wellness plans
• Career stability
• Opportunities for advancement
• Valuable on‑the‑job training
• Tuition Reimbursement Program
• Free online courses for personal and professional development at U‑Haul University®
• 401(k) Savings Plan
• Employee Stock Ownership Plan (ESOP)
• Company‑paid life insurance
• Voluntary life insurance options
• Short-Term Disability
• Long‑Term Disability
• Critical Illness plan
• Accident plan
• Hospital Indemnity plans
• Business insurance
• Business travel insurance
• MetLaw Legal Program
• MetLife Auto & Home Insurance
• LifeLock Identity Theft Protection
• Dave Ramsey’s SmartDollar® Financial Wellness Program
• U‑Haul Federal Credit Union
• Paid holidays
• Paid vacation
• Paid sick time
• You Matter Employee Assistance Program (EAP)
• Discounts on cell phone plans, hotels, computers, vehicles & more
• Community involvement opportunities
• Volunteer opportunities
• U‑Haul Mothers Program (Paid maternity leave)

About the Company

• Since 1945, U-Haul has served do-it-yourself movers and their households.
• The company concept originated from the post-World War II need for one-way, nationwide moving equipment.
• Co-founders L.S. "Sam" Shoen and Anna Mary Carty Shoen recognized this need, spreading ownership costs among users and facilitating mobility in the U.S. and Canada.
• U-Haul's visionary approach led to the birth of an industry.

Equal Opportunity

• U-Haul strives to create a culture of health and wellness.
• Consistent with applicable state law, U-Haul will not hire or re-hire individuals who use nicotine products in specific states (Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Pennsylvania, Texas, Utah, Vermont, Virginia, and Washington).
• This nicotine hiring practice has been in effect since February 1, 2020, supporting a healthy work environment.
• U-Haul is an equal opportunity employer.
• All applicants are considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by law.
• Individual accommodations are available upon request for applicants in all selection process aspects.
• Information obtained during the process will only be shared on a need-to-know basis.