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Data Analytics Internship Jobs in Tempe, AZ (NOW HIRING)

Our interns will work alongside industry projects and gain valuable insights into our core ... Currently pursuing a Master's degree in Data Analytics, Data Science, Business Analytics, AI/ML ...

Metrics, Data Quality & Analytics Governance - Define enterprise KPIs and analytic standards ... S. Our internship hourly rates are a standard pay determined based on the position and your ...

Metrics, Data Quality & Analytics Governance - Define enterprise KPIs and analytic standards ... S. Our internship hourly rates are a standard pay determined based on the position and your ...

... data retrieval and visualization processes -Perform analytics per traditional and new approaches ... This can include coop or internship assignments - 2 years in an Industrial Engineering or ...

... data retrieval and visualization processes -Perform analytics per traditional and new approaches ... This can include coop or internship assignments - 2 years in an Industrial Engineering or ...

... data retrieval and visualization processes -Perform analytics per traditional and new approaches ... This can include coop or internship assignments - 2 years in an Industrial Engineering or ...

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Phoenix, AZ ยท On-site

$70K - $75K/yr

... and internship opportunities, AHCCCS offers meaningful career opportunities in a competitive ... The Senior Medical Economics Analyst will work in the Office of Data Analytics translating Medicaid ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... Experience building advanced analytic solutions using generalized linear models and at least one of ...

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Data Analytics Internship information

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How much do data analytics internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for data analytics internship in Tempe, AZ is $21.89, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What types of projects do Data Analytics Interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.

What is a Data Analytics Internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What is the difference between Data Analytics Internship vs Data Analyst?

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What are the most commonly searched types of Data Analytics jobs in Tempe, AZ? The most popular types of Data Analytics jobs in Tempe, AZ are:
What are popular job titles related to Data Analytics Internship jobs in Tempe, AZ? For Data Analytics Internship jobs in Tempe, AZ, the most frequently searched job titles are:
What cities near Tempe, AZ are hiring for Data Analytics Internship jobs? Cities near Tempe, AZ with the most Data Analytics Internship job openings:
Infographic showing various Data Analytics Internship job openings in Tempe, AZ as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $45,532 per year, or $21.9 per hour.
Business Intelligence UWEP Internship - Fall 2025

Business Intelligence UWEP Internship - Fall 2025

United Soccer League (USL)

Scottsdale, AZ โ€ข Remote

$15.75 - $20/hr

Other

Posted 5 days ago


Job description

Job Title: Business Intelligence UWEP Position Type: Internship - For College Credit Hours Onlyย  Semester: Fall 2025 Location: Remoteย 

Overview of the United Soccer League (USL)The United Soccer League (USL) is the heartbeat of American soccer. Impacting more than 200 communities across the United States, the USL is the first and only soccer organization in the United States to build a youth-to-professional pathway for both men and women within one ecosystem. That structure includes three professional leagues: Gainbridge Super League (women), USL Championship (men), and USL League One (men); two pre-professional leagues: USL League Two (men) and the USL W League (women); and two youth platforms: USL Academy and USL Youth. Authentic, vital, and exciting, the USL is dedicated to providing an inclusive and memorable soccer experience for players, fans, and communities across our growing "soccer nation."

Program Purpose

Under the direction and guidance of USL Executives and Leaders (mentors), the USL Work Experience Program (UWEP) provides students with the unique opportunity to gain practical sport management experience in a professional sports league setting. By working on various strategic projects and initiatives, UWEP participants will gain hands on experience with league staff as well as member teams.

Participants are tasked with and responsible for partnering within a specialized department but will interact with all league departments across the organization including business development, digital, club services, analytics, and more; with the ultimate goal of providing students with well-rounded practical work experience in sports.ย 

Position Purpose

Under the direction of the USL Technology & Data Strategy team, the Business Intelligence UWEP supports the department by assisting with maintaining and developing league-wide dashboards. The Participant will assume an integral role in the production of data analytics and distribution of the results.

Duties and Responsibilities

Specific duties include, but are not limited to:

  • Assist with the routine collection of data and updating of established Tableau dashboards.
  • Build Tableau dashboards to track performance in key metrics towards league goals and initiatives.
  • Identify opportunities to implement procedures for new data collection processes and/or data reporting.
  • Translate data across key revenue-driving verticals (e.g., ticketing, corporate partnerships, and consumer products) into targeted analyses, providing insights and recommendations to critical organizational stakeholders that lead to actionable business decisions.ย 
  • Generate new analysis of match performance data to unlock potential commercial value driven from our partnerships with Stats Perform and Spiideo.
  • Support ad-hoc requests for data; build reports, visualizations, executive dashboards, and presentations.
  • Act in a quality assurance role to ensure dashboards/reports are functioning correctly and to provide any recommendations for improvements.
  • Assist other departments and operational areas as requested to provide a well-rounded overview of working in sports.

Qualifications

  • Participants must be working towards a bachelorโ€™s or masterโ€™s degree in a related field and/or training and must certify that they are able to receive college course credit from an accredited college or university for their participation.
  • Solid computer skills and proficiency with MS Word, Excel, PowerPoint, Outlook are a must.
  • Excellent verbal and written communication skills are required.ย 
  • Positive attitude and strong work ethic are a must. Must have a โ€œteam-firstโ€ mentality with an eagerness to learn.ย 
  • Should be extremely organized and detail oriented, with a focus on quality and consistency.ย 
  • While completing the USL Work Experience Program remotely, participants must have access to a computer or laptop with reliable internet connection.ย 
  • Familiarity of Tableau, or another data visualization software.
  • Familiarity of SQL, or other programming languages.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.