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Statistics Intern Jobs in Reno, NV (NOW HIRING)

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How much do statistics intern jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for statistics intern in Reno, NV is $17.25, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $19.18 per hour, depending on experience, location, and employer.

What is a statistics intern?

Statistics Interns are students or recent graduates who assist professional statisticians by collecting, analyzing, and interpreting data. They typically work under supervision in industries such as healthcare, finance, government, or academia. Their tasks may include data entry, cleaning datasets, running statistical software, and preparing reports or presentations. This internship provides hands-on experience in applying statistical methods and tools, helping interns build foundational skills for a career in statistics or data analysis.

What types of projects does a statistics intern typically work on during their internship?

Statistics Interns are often involved in data collection, cleaning, and analysis projects that support ongoing research or business initiatives. They may help design experiments, run statistical tests, create data visualizations, and interpret results under the guidance of experienced statisticians. Interns frequently collaborate with professionals from other departments, such as data science, engineering, or marketing, to provide insights that inform decision-making. This hands-on experience helps interns develop practical skills and gain exposure to real-world applications of statistical methods.

What are the key skills and qualifications needed to thrive as a statistics intern, and why are they important?

To thrive as a Statistics Intern, you need a solid understanding of statistical methods, data analysis, and a relevant academic background in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, SPSS, or Python, as well as proficiency in Excel, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for accurately analyzing data and supporting evidence-based decision-making within organizations.

What is the difference between Statistics Intern vs Data Analyst?

AspectStatistics Intern

Statistics Interns typically have limited work experience, often are students or recent graduates, and focus on supporting data collection, cleaning, and basic analysis under supervision. Data Analysts usually have more experience, may hold certifications or degrees in statistics, data science, or related fields, and are responsible for interpreting data, creating reports, and providing insights independently. Both roles are common in industries like finance, healthcare, and tech, but Data Analysts often have more advanced skills and responsibilities.

What are the most commonly searched types of Statistics jobs in Reno, NV?

The most popular types of Statistics jobs in Reno, NV are:

What cities near Reno, NV are hiring for Statistics Intern jobs?

Cities near Reno, NV with the most Statistics Intern job openings:

Statistics Intern jobs near you
Infographic showing various Statistics Intern job openings in Reno, NV as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $35,889 per year, or $17.3 per hour.

Business Intelligence UWEP Internship - Fall 2025

Sparks, NV • Remote

United Soccer League (USL)
Spectator Sports • 11 - 50 employees
Learn more about United Soccer League (USL)external

$16 - $20.25/hr

Internship

Re-posted 20 days ago

Job description

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

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. 

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. 
  • 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 bachelor’s or master’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. 
  • Positive attitude and strong work ethic are a must. Must have a “team-first” mentality with an eagerness to learn. 
  • Should be extremely organized and detail oriented, with a focus on quality and consistency. 
  • While completing the USL Work Experience Program remotely, participants must have access to a computer or laptop with reliable internet connection. 
  • 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.

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