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Data Analytics Teaching Jobs in Arizona (NOW HIRING)

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:

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:

Data Analysis Tutor

Phoenix, AZ · Remote

$18 - $40/hr

... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching & Problem-Solving: Skilled at teaching data manipulation, visualization creation, and insight extraction ...

Data Analysis Tutor

Mesa, AZ · Remote

$18 - $40/hr

... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching & Problem-Solving: Skilled at teaching data manipulation, visualization creation, and insight extraction ...

Data Analysis Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching & Problem-Solving: Skilled at teaching data manipulation, visualization creation, and insight extraction ...

Data Analysis Tutor

Gilbert, AZ · Remote

$18 - $40/hr

... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching & Problem-Solving: Skilled at teaching data manipulation, visualization creation, and insight extraction ...

Data Analysis Tutor

Tempe, AZ · Remote

$18 - $40/hr

... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching & Problem-Solving: Skilled at teaching data manipulation, visualization creation, and insight extraction ...

Data Analysis Tutor

Tucson, AZ · Remote

$18 - $40/hr

... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching & Problem-Solving: Skilled at teaching data manipulation, visualization creation, and insight extraction ...

Data Analysis Tutor

Chandler, AZ · Remote

$18 - $40/hr

... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching & Problem-Solving: Skilled at teaching data manipulation, visualization creation, and insight extraction ...

Data Analysis Tutor

Glendale, AZ · Remote

$18 - $40/hr

... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching & Problem-Solving: Skilled at teaching data manipulation, visualization creation, and insight extraction ...

Data Science Tutor

Tucson, AZ · Remote

$18 - $40/hr

Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

Data Science Tutor

Mesa, AZ · Remote

$18 - $40/hr

Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

Data Science Tutor

Glendale, AZ · Remote

$18 - $40/hr

Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

Data Science Tutor

Phoenix, AZ · Remote

$18 - $40/hr

Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

Data Science Tutor

Tempe, AZ · Remote

$18 - $40/hr

Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

Data Science Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

Data Science Tutor

Chandler, AZ · Remote

$18 - $40/hr

Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

Data Science Tutor

Gilbert, AZ · Remote

$18 - $40/hr

Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

CD&A Data Engineer

Tempe, AZ · On-site

$150K - $225K/yr

What you'll do The Global Technology - Data & Analytics team builds and operates the data platforms ... Familiarity with at least one major cloud platform (GCP or Azure -- we'll teach the other)

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Showing results 1-20

Data Analytics Teaching information

See Arizona salary details

$22

$51

$88

How much do data analytics teaching jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics teaching in Arizona is $51.02, according to ZipRecruiter salary data. Most workers in this role earn between $41.01 and $57.79 per hour, depending on experience, location, and employer.

What is data analytics teaching?

A Data Analytics Teaching job involves educating students or professionals on data analysis concepts, tools, and techniques. Instructors teach subjects like data visualization, statistical analysis, SQL, Python, and machine learning. They may work in universities, online platforms, or corporate training programs. Responsibilities include developing curriculum, designing hands-on exercises, and mentoring learners. Effective teaching requires both technical expertise and the ability to explain complex concepts clearly.

What are some typical challenges faced by professionals teaching data analytics, and how can they be addressed?

Professionals teaching data analytics often encounter challenges such as varying levels of student proficiency, rapidly changing industry tools, and the need to illustrate real-world applications. To address these, instructors may develop adaptable teaching materials, incorporate hands-on projects, and stay current with industry developments through ongoing education or professional networks. Collaborating with industry partners for guest lectures and case studies can also help keep course content relevant and engaging. Being flexible and using a variety of teaching methods can ensure all students, regardless of background, are able to grasp key concepts.

What are the key skills and qualifications needed to thrive in data analytics teaching?

To excel in Data Analytics Teaching, a solid background in data analysis, statistics, and instructional design—usually supported by an advanced degree in a quantitative field—is essential. Familiarity with tools such as Python, R, SQL, Tableau, and relevant certifications like Microsoft Certified: Data Analyst Associate or Certified Analytics Professional is common. Outstanding communication, patience, and the ability to simplify complex concepts are important soft skills for effectively engaging learners. These skills ensure instructors can deliver practical, accessible learning experiences that prepare students for real-world data roles.

What are the most commonly searched types of Data Analytics Teaching jobs in Arizona? The most popular types of Data Analytics Teaching jobs in Arizona are:
What are popular job titles related to Data Analytics Teaching jobs in Arizona? For Data Analytics Teaching jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Analytics Teaching jobs in Arizona look for? The top searched job categories for Data Analytics Teaching jobs in Arizona are:
Infographic showing various Data Analytics Teaching job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,117 per year, or $51 per hour.

Contact Center Data Analyst

U-Haul

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


U-Haul rating

6.1

Company rating: 6.1 out of 10

Based on 519 frontline employees who took The Breakroom Quiz

146th 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

U-Haul 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
  • U-Haul Kids Program
  • 24-Hour Nurse Line
  • Wellness Program (Healthier You initiatives & challenges)
  • Mindset App Reimbursement
  • Pet Insurance & 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 and Long-Term 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
  • U-Haul 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
  • U-Haul 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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