2

Internship Remote Football Analyst Jobs (NOW HIRING)

$13 - $17.50/hr

As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ... Utilize machine learning or other classification techniques to analyze aerial imagery * Produce ...

Business Analysis * Finance * Social Media * Data Analytics * Engineering **Note: You only need to ... This position is remote Benefits: * Great opportunity for international students on OPT looking for ...

Summer Internship Program

Chicago, IL · On-site +1

$7.50 - $15/hr

Hybrid / Remote Options Available Compensation: $7.50 - $15.00. /Hour (based on experience and ... Supporting marketing, recruiting, and sales initiatives through research, analytics, and content ...

Summer Business Internship

$16 - $20.25/hr

Remote [All Virtual sessions] Final Demo Day: July 26, 2026 [Virtual] Time:11 AM - 3 PM Pacific ... Business Analysis • Evaluate business challenges and propose solutions. • Assist in developing ...

MBA Internship

Alameda, CA · On-site +1

$17 - $22.75/hr

Conduct market research and competitive analyses to identify emerging opportunities in maritime ... Remote-friendly role, with occasional opportunities to engage on-site depending on project needs.

We have 2 openings for this role-- and it's open to remote candidates within the US! Love turning ... internships preferred * Strong analytical and problem-solving skills with attention to detail

next page

Showing results 1-20

Internship Remote Football Analyst information

See salary details

$31K

$73.3K

$130K

How much do internship remote football analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for internship remote football analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

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

To thrive as an Internship Remote Football Analyst, you need a solid understanding of football tactics, analytical skills, and preferably a background in sports management or data analysis. Familiarity with video analysis software (such as Hudl or Wyscout), Excel, and data visualization tools is typically expected. Strong attention to detail, effective communication, and the ability to work independently make candidates stand out. These skills and qualities are crucial for delivering actionable insights, supporting coaching decisions, and maximizing team performance in a virtual environment.

What is the difference between Internship Remote Football Analyst vs Remote Football Data Coordinator?

AspectInternship Remote Football AnalystRemote Football Data Coordinator
Required CredentialsEnrolled in sports management, data analysis, or related fields; basic knowledge of footballExperience with data management, database tools, and sports statistics
Work EnvironmentRemote, flexible hours, internship settingRemote, often full-time, data-focused role
Employer & Industry UsageSports teams, media outlets, analytics firmsSports organizations, data companies, analytics providers
Search & Comparison IntentLearning, entry-level experience, sports analysisData management, sports statistics, analytics coordination

The Internship Remote Football Analyst typically involves entry-level sports analysis tasks, focusing on learning and supporting football data projects. In contrast, the Remote Football Data Coordinator handles data organization and management, often requiring more experience with databases. Both roles are remote and industry-specific, but they differ in responsibilities and experience levels.

What are some typical responsibilities for an intern working remotely as a football analyst?

As a remote football analyst intern, you can expect to assist with collecting and analyzing match data, preparing scouting reports, and supporting the creation of performance summaries for teams or individual players. You may use software tools to break down game footage, identify key patterns, and contribute insights to the analytical team. Regular collaboration with senior analysts and coaches through virtual meetings is common, providing valuable opportunities to learn and contribute to strategy discussions. Time management and proactive communication are essential, as you'll often work independently while meeting project deadlines.

What does a remote football analyst intern do?

A remote football analyst intern assists in analyzing football matches, player statistics, and team performance using data and video analysis tools. They typically support the coaching staff or analytics team by providing insights that can inform tactics, scouting, and player development. Responsibilities may include gathering data from games, creating reports, and presenting findings to relevant stakeholders. The internship is conducted remotely, meaning all tasks are performed online without needing to be physically present at the team's location.
More about Internship Remote Football Analyst jobs
What cities are hiring for Internship Remote Football Analyst jobs? Cities with the most Internship Remote Football Analyst job openings:
What are the most commonly searched types of Remote Football Analyst jobs? The most popular types of Remote Football Analyst jobs are:
What states have the most Internship Remote Football Analyst jobs? States with the most job openings for Internship Remote Football Analyst jobs include:
What job categories do people searching Internship Remote Football Analyst jobs look for? The top searched job categories for Internship Remote Football Analyst jobs are:
Infographic showing various Internship Remote Football Analyst job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Other

Posted 5 days ago


Job description

If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.


Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.


Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.


Responsibilities

  • Leverage our Python-based platform to query, access, and manipulate aerial imagery

  • Utilize machine learning or other classification techniques to analyze aerial imagery

  • Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship


Requirements

  • Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.

  • Experience with Python & Numpy

  • Strong problem solving and critical thinking skills

  • Excellent written and verbal communication

  • Ability to work independently


Preferred skills

  • Experience with machine learning and image classification

  • Proficiency with the following Python packages: numpy, scikit-learn, keras

  • Experience working with aerial or satellite imagery and geospatial data.

Employment Type: INTERN