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Remote Football Data Analyst Jobs in Utah (NOW HIRING)

Cheminformatics Specialist - Remote

Provo, UT ยท On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Fully remote within Pacific Standard time zone About the Role Product at Nearmap doesn't just build ... Support deal desk and complex approval workflows with data-driven analysis AI-Powered Analytics ...

Fully remote within Pacific Standard time zone About the Role Product at Nearmap doesn't just build ... Support deal desk and complex approval workflows with data-driven analysis AI-Powered Analytics ...

Fully remote within Pacific Standard time zone About the Role Product at Nearmap doesn't just build ... Support deal desk and complex approval workflows with data-driven analysis AI-Powered Analytics ...

Lead Data Scientist

Draper, UT ยท On-site +1

$144K - $250K/yr

Conjoint Analysis * Agentic AI Reports To : Senior Manager and above Direct Reports : 0 Work ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Showing results 21-40

Remote Football Data Analyst information

What are the key skills and qualifications needed to thrive as a remote football data analyst?

To thrive as a Remote Football Data Analyst, you need strong analytical skills, a solid understanding of football tactics, and a degree in statistics, mathematics, or a related field. Proficiency with data analysis tools like Python, R, SQL, and specialized sports analytics platforms such as Opta or Wyscout is typically required. Attention to detail, effective communication, and the ability to work independently are essential soft skills for remote collaboration and insight delivery. These skills enable accurate data interpretation, actionable insights, and effective support for coaching or management decisions in a competitive sports environment.

What is a remote football data analyst?

A Remote Football Data Analyst is a professional who analyzes football (soccer) data and statistics to provide insights on team performance, player metrics, and match outcomes, all while working from a remote location. They use various data sources and analytical tools to interpret match data, identify trends, and support coaching staff, scouts, or media organizations. Their work may include creating reports, visualizing data, and building statistical models to inform decisions. This role typically requires strong analytical skills, proficiency in data analysis software, and a deep understanding of the game.

What is the difference between Remote Football Data Analyst vs Remote Sports Data Analyst?

AspectRemote Football Data AnalystRemote Sports Data Analyst
Required CredentialsDegree in Sports Analytics, Data Science, or related field; knowledge of football statisticsDegree in Sports Analytics, Data Science, or related field; broad sports knowledge
Work EnvironmentRemote, often with sports teams, analytics firms, or media companiesRemote, employed by sports organizations, media outlets, or analytics agencies
Industry UsageFocused on football-specific data analysis and performance metricsAnalyzes data across multiple sports, including football, basketball, and others
Common Search/ComparisonOften compared for specialization in footballBroader sports analysis roles

The Remote Football Data Analyst specializes in football-specific data, requiring knowledge of football metrics and analytics. In contrast, the Remote Sports Data Analyst covers multiple sports, offering a broader scope. Both roles share similar credentials and work environments but differ in industry focus and specialization.

How do remote football data analysts typically collaborate with coaching staff and scouts despite working off-site?

Remote Football Data Analysts regularly use digital communication tools and data visualization platforms to share insights with coaching staff and scouts. Collaboration often involves scheduled video meetings, sharing dashboards, and providing real-time data interpretations to support tactical decisions. While not physically present, analysts are integral to pre- and post-match briefings, and their ability to convey complex data clearly is crucial in helping the team understand and utilize the insights effectively.
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 job categories do people searching Remote Football Data Analyst jobs in Utah look for? The top searched job categories for Remote Football Data Analyst jobs in Utah are:
What cities in Utah are hiring for Remote Football Data Analyst jobs? Cities in Utah with the most Remote Football Data Analyst job openings:
Infographic showing various Remote Football Data Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Business Model Research Analyst

Initio Capital

Salt Lake City, UT โ€ข Remote

Full-time

Posted 4 days ago


Job description

ABOUT INITIO CAPITAL

Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

THE ROLE

As a Business Model Research Analyst, you will help identify promising markets, companies, products, operators, and investment or growth opportunities. You will turn ambiguous information into clear research, structured analysis, prioritized target lists, and practical recommendations.

This is a remote, flexible role for candidates who are analytical, commercially curious, and comfortable moving quickly across business, finance, technology, and strategy topics.

WHAT YOU MAY WORK ON
  • Research companies, markets, business models, and investment themes.
  • Build target lists, market maps, competitive scans, and opportunity pipelines.
  • Analyze data, documents, websites, interviews, and public information to form concise recommendations.
  • Support strategy, sourcing, diligence, product, growth, finance, and operations projects.
WHO THIS IS FOR

This is a strong fit for candidates interested in consulting, finance, investment research, product strategy, software, AI/data, business operations, corporate development, private markets, or entrepreneurship.

COMPENSATION

Compensation varies by project and experience. Many roles are flexible, remote, and project-based.