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Remote Spss Jobs in Arizona (NOW HIRING)

This position is local to our corporate campus located in Phoenix, AZ and is ineligible for fully remote work. As a Data Analyst, team members will be responsible for evaluating and improving U-Haul ...

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Remote Spss information

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$25.2K

$77.6K

$164.1K

How much do remote spss jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote spss in Arizona is $77,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,573.00 and $100,000.00 per year, depending on experience, location, and employer.

What is a Remote SPSS?

A Remote SPSS job involves working with SPSS (Statistical Package for the Social Sciences) software to analyze data, create reports, and interpret statistical findings, all while working remotely. Professionals in this role may perform tasks such as data cleaning, statistical modeling, and survey analysis for businesses, research institutions, or academia. These roles are common in fields like market research, healthcare, social sciences, and business analytics. Strong skills in statistics, data interpretation, and SPSS software are essential for success in this position.

What are the key skills and qualifications needed to thrive in the Remote SPSS position, and why are they important?

To thrive as a Remote SPSS professional, you need advanced statistical analysis skills, a background in data science or social sciences, and experience using IBM SPSS software. Familiarity with related tools such as Excel, R, or Python, as well as certifications in data analytics or statistics, are often beneficial. Strong attention to detail, clear communication, and the ability to work independently in a virtual setting are key soft skills. These abilities are crucial for delivering accurate insights, meeting project deadlines, and collaborating effectively with remote teams.

What does a typical day look like for someone working remotely in an SPSS-focused role?

A typical day as a Remote SPSS professional involves analyzing datasets using SPSS, preparing detailed reports, and collaborating with clients or colleagues via video conferences and email. You may spend part of your day cleaning and organizing raw data, running statistical models, and interpreting outputs to support business or research objectives. Frequent communication and sharing of results with team members located in different regions are common, so proactive collaboration and effective time management are essential. Over time, you may also gain opportunities to lead projects, train new team members, or specialize in more advanced statistical methodologies.

What are the most commonly searched types of Spss jobs in Arizona? The most popular types of Spss jobs in Arizona are:
What cities in Arizona are hiring for Remote Spss jobs? Cities in Arizona with the most Remote Spss job openings:
Infographic showing various Remote Spss job openings in Arizona as of August 2026, with employment types broken down into 62% Full Time, 16% Part Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $77,624 per year, or $37.3 per hour.

Contact Center Data Analyst

U-Haul

Phoenix, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


U-Haul rating

6.0

Company rating: 6.0 out of 10

Based on 520 frontline employees who took The Breakroom Quiz

148th of 171 rated vehicle equipment hire


Job description

Location:

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

This position is not eligible for employer sponsorship.


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.


This position is local to our corporate campus located in Phoenix, AZ and is ineligible for fully remote work.


As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products and services. You will be interacting with multi-disciplinary teams of Data Scientists, Engineers and Business Experts and will bring big data analytics and scientific rigor to the team. This process involves understanding complex business functions, creating new solutions, analyzing structured and unstructured data, forming descriptive analysis and dashboards, and developing models for inference and prediction. You are expected to embrace new technologies and deliver smart solutions and services, collaborate with teams, share their knowledge, and collectively grow capability, skills, and knowledge in the team.


Responsibilities:

  • Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs
  • Creating interactive and drill-down dashboards to deliver key trends and insights to stakeholders
  • Working with leaders and domain experts to identify business needs, create an analysis plan, identify deliverables, and communicate key insights
  • Designing and implementing the data science model appropriate to the business challenge (classification, regression, unsupervised learning, recommendation systems, sentiment analysis, neural network, etc.)
  • Communicating complex technical concepts to stakeholders with confidence and integrity
  • Working with business stakeholders to determine metrics for evaluating the models
  • Working with data engineers to create datasets for insight and prediction
  • Building data visualizations, reports, and presentations
  • Rapidly learning and implementing new technologies and tools
  • Provide leadership to help shape our data initiatives across U-Haul
  • Potential to share and teach skills around advanced data analytics and data evaluation
  • Handling a variety of responsibilities under pressure and functioning independently

Relevant tasks:

  • Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their 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 a variety of problems and to 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 which plan will offer the best outcomes.
  • Prepare management reports defining and evaluating problems and recommending solutions.
  • Define data requirements, gather and validate information, apply judgment and statistical tests.
  • Observe the current system in operation and gather and analyze information about each of the component problems, using a variety of sources.
  • Breakdown systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.
  • Design, conduct, and evaluate experimental operational models in cases where 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.

Qualifications:

  • Master's degree from an accredited college/university in Business Analytics, Computer Science, Statistics, Mathematics, Engineering, or related fields, with 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 of the above techniques with past industry projects and/or academic research.
  • The ability to communicate and present both orally and in writing, and comfortability with ambiguity and change
  • High degree of drive, energy, self-confidence, commitment, and flexibility

UHaul Offers:

  • Medical insurance
  • Prescription drug plans
  • Dental & 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
  • UHaul Kids Program
  • 24Hour Nurse Line
  • Wellness Program (Healthier You initiatives & challenges)
  • Mindset App Reimbursement
  • Pet Insurance & Wellness plans
  • Career stability
  • Opportunities for advancement
  • Valuable onthejob training
  • Tuition Reimbursement Program
  • Free online courses for personal and professional development at UHaul University
  • 401(k) Savings Plan
  • Employee Stock Ownership Plan (ESOP)
  • Companypaid life insurance
  • Voluntary life insurance options
  • Short-Term and LongTerm Disability
  • Critical Illness, Accident & Hospital Indemnity plans
  • Business & business travel insurance
  • MetLaw Legal Program
  • MetLife Auto & Home Insurance
  • LifeLock Identity Theft Protection
  • Dave Ramsey's SmartDollar Financial Wellness Program
  • UHaul Federal Credit Union
  • Paid holidays, vacation, and sick time
  • You Matter Employee Assistance Program (EAP)
  • Discounts on cell phone plans, hotels, computers, vehicles & more
  • Community involvement & volunteer opportunities
  • UHaul Mothers Program (Paid maternity leave)

#LI-FT1

U-Haul Holding Company, and its family of companies including U-Haul International, Inc. ("U-Haul"), continually 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. The states in which U-Haul will decline to hire nicotine users are: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Pennsylvania, Texas, Utah, Vermont, Virginia, and Washington. U-Haul has observed this hiring practice since February 1, 2020 as part of our commitment to a healthy work environment for our team.

U-Haul is an equal opportunity employer. All applicants 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.


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