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Internship Football Data Analyst Jobs in Utah (NOW HIRING)

We are looking for someone who thinks in systems, moves fast with data, and sees AI as a core part ... You have up to 2 years of experience or relevant internships. * AI-forward: You already use AI ...

AI Finance Analyst

Provo, UT · On-site

$50K - $90K/yr

We are looking for someone who thinks in systems, moves fast with data, and sees AI as a core part ... You have up to 2 years of experience or relevant internships. * AI-forward: You already use AI ...

We are looking for someone who thinks in systems, moves fast with data, and sees AI as a core part ... You have up to 2 years of experience or relevant internships. * AI-forward: You already use AI ...

... data analysis, presentation of results, and accurate and thorough recordkeeping. Interns will: * Listen actively while receiving instruction, in order to quickly master assigned duties * Be present ...

... data analysis, presentation of results, and accurate and thorough recordkeeping. Interns will: * Listen actively while receiving instruction, in order to quickly master assigned duties * Be present ...

... data analysis, presentation of results, and accurate and thorough recordkeeping. Interns will: * Listen actively while receiving instruction, in order to quickly master assigned duties * Be present ...

... data analysis, presentation of results, and accurate and thorough recordkeeping. Interns will: * Listen actively while receiving instruction, in order to quickly master assigned duties * Be present ...

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Internship Football Data Analyst information

What are the key skills and qualifications needed to thrive as an Internship Football Data Analyst, and why are they important?

To thrive as an Internship Football Data Analyst, you need a solid understanding of statistics, football tactics, and data analysis, often supported by coursework or a degree in fields like statistics, sports science, or data analytics. Familiarity with tools such as Excel, Python, R, and football analytics platforms like Wyscout or Opta is typically expected. Strong attention to detail, problem-solving abilities, and effective communication help you interpret data insights and present findings to coaches or management. These skills are vital to providing actionable insights that can enhance team performance and strategic decision-making.

What are the typical responsibilities of an Internship Football Data Analyst on a day-to-day basis?

As an Internship Football Data Analyst, you can expect to spend your days collecting and cleaning match data, creating visualizations to highlight player or team performance, and supporting senior analysts with research projects. You'll likely use tools such as Excel, Python, or specialized sports analytics software to manage and interpret large datasets. Collaboration is key—you'll often work closely with coaches, scouts, and other analysts to translate your findings into actionable insights. This hands-on experience not only hones your technical skills but also deepens your understanding of the football industry’s analytical needs.

What does an Internship Football Data Analyst do?

An Internship Football Data Analyst assists in collecting, processing, and analyzing football-related data to help coaches, scouts, and management make informed decisions. They work with tools like Excel, SQL, and specialized sports analytics software to create reports and visualize performance trends. Interns may also help track player statistics, review match footage, and contribute to tactical analysis. This role provides hands-on experience in sports analytics and is a valuable stepping stone for a career in football data analysis.
What are the most commonly searched types of Football Data Analyst jobs in Utah? The most popular types of Football Data Analyst jobs in Utah are:
What are popular job titles related to Internship Football Data Analyst jobs in Utah? For Internship Football Data Analyst jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Internship Football Data Analyst jobs? Cities in Utah with the most Internship Football Data Analyst job openings:
Intern-Commercial Analytics (Promotions, Customer & DTC Analytics)

Intern-Commercial Analytics (Promotions, Customer & DTC Analytics)

Natures Sunshine Products

Lehi, UT • On-site

Part-time

Posted 17 days ago


Job description

Overview

Nature's Sunshine is seeking a highly analytical intern to support data-driven decision making across promotions, customer behavior, and direct-to-consumer performance.

This role focuses on understanding how promotions, pricing, and customer dynamics influence purchasing behavior. You will work with transaction-level data to evaluate promotion effectiveness, analyze customer behavior, and support development of predictive insights.

Responsibilities

  • Analyze promotion performance (discounts, bundles, campaigns) to measure incremental lift and impact on customer behavior
  • Evaluate how promotions influence repeat purchase, stock-up behavior, and purchase timing
  • Build customer segmentations using behavioral data (e.g., purchase frequency, recency, spend)
  • Support development of models to estimate:
    • likelihood to purchase
    • response to promotions
    • repeat purchase / churn risk
  • Analyze cohort behavior (e.g., customers acquired through promotions vs. non-promotional periods)
  • Work with transaction-level datasets to create features (recency, frequency, monetary value, promotion exposure)
  • Translate analysis into clear insights to support marketing and commercial decisions

Qualifications

  • Pursuing a degree in Statistics, Data Science, Business Analytics, Applied Math, Economics (quantitative), or similar
  • Coursework or project experience in statistics or data analysis, including:
    • regression (linear or logistic)
    • hypothesis testing or statistical inference
  • Demonstrated experience working with data beyond basic Excel (through class projects, research, or internships)
  • Familiarity with at least one of the following:
    • SQL
    • Python (pandas, numpy, or similar)
    • R
  • Experience or exposure (coursework or projects) to at least one of:
    • customer segmentation (e.g., RFM, clustering)
    • predictive modeling (e.g., propensity, churn, classification problems)
    • analyzing customer or transaction-level datasets
  • Ability to explain analytical work clearly and connect results to business questions

Nice to have

  • Experience analyzing marketing or promotion-related data (coursework or projects is sufficient)
  • Exposure to A/B testing or evaluating campaign performance
  • Familiarity with data visualization tools (Power BI, Tableau, etc.)

Nature's Sunshine is dedicated to being a Force of Nature that champions social and environmental wellness. We are focused on building a team of professionals with diverse backgrounds and experiences to become the natural supplement company of the future. By celebrating the individuality and unique perspectives of our workforce, we empower our employees to share the healing power of nature with more people around the world. And through our commitment to sustainable processes, renewable energy usage and waste reduction initiatives, we're devoted to preserving nature and its power for future generations.

We believe we are stronger together, and our ongoing commitment to diversity, equity, inclusion and belonging ensures that every employee is treated with fairness and respect. Because doing what's right-in the right way-is how we succeed as a company and a society.