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Summer Football Data Analytics Jobs (NOW HIRING)

PFF

Senior Data Engineer

$120K - $160K/yr

About PFF PFF is a leading sports analytics company that transforms complex football data into powerful insights. Our exclusive player grades, advanced metrics, and tools fuel winning decisions for ...

Munich Re

Intern - Business Data Analytics

Fremont, CA · On-site

HSB's 11-week Summer Internship Program provides a well-rounded, engaging and enjoyable experience ... Business Data Analytics Intern * This role is intended for a graduate-level intern , not an ...

Munich Re

Intern - Business Data Analytics

Chicago, IL · On-site

HSB's 11-week Summer Internship Program provides a well-rounded, engaging and enjoyable experience ... Business Data Analytics Intern * This role is intended for a graduate-level intern , not an ...

Munich Re

Intern - Business Data Analytics

Austin, TX · On-site

HSB's 11-week Summer Internship Program provides a well-rounded, engaging and enjoyable experience ... Business Data Analytics Intern * This role is intended for a graduate-level intern , not an ...

Munich Re

Intern - Business Data Analytics

Seattle, WA · On-site

HSB's 11-week Summer Internship Program provides a well-rounded, engaging and enjoyable experience ... Business Data Analytics Intern * This role is intended for a graduate-level intern , not an ...

Munich Re

Intern - Business Data Analytics

Hayward, CA · On-site

HSB's 11-week Summer Internship Program provides a well-rounded, engaging and enjoyable experience ... Business Data Analytics Intern * This role is intended for a graduate-level intern , not an ...

Munich Re

Intern - Business Data Analytics

Dallas, TX · On-site

HSB's 11-week Summer Internship Program provides a well-rounded, engaging and enjoyable experience ... Business Data Analytics Intern * This role is intended for a graduate-level intern , not an ...

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All JobsSummer Football Data Analytics Jobs

Summer Football Data Analytics information

See salary details

$33K

$81.5K

$140K

How much do summer football data analytics jobs pay per year?

As of Jun 15, 2026, the average yearly pay for summer football data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on as a Summer Football Data Analytics intern?

As a Summer Football Data Analytics intern, you'll typically analyze match and player data, assist with building statistical models, and generate performance reports for coaching staff. You may also help clean and visualize large datasets, contribute insights to pre- and post-match analysis, and collaborate closely with analysts, coaches, and sometimes the players themselves. This hands-on experience provides exposure to both technical and tactical aspects of the sport, while allowing you to develop practical skills in data analysis and communication.

What is the difference between Summer Football Data Analytics vs Summer Sports Data Analysis?

AspectSummer Football Data AnalyticsSummer Sports Data Analysis
Required CredentialsBachelor's in Sports Management, Data Science, or related field; knowledge of football metricsBachelor's in Sports Science, Data Analytics, or related; general sports knowledge
Work EnvironmentFootball teams, sports analytics firms, or athletic organizations during summerVarious sports organizations, leagues, or research institutions in summer programs
Employer & Industry UsageFootball clubs, college teams, sports analytics companiesMultiple sports organizations, including football, basketball, and others

Summer Football Data Analytics focuses specifically on football-related data, metrics, and performance analysis, often requiring specialized knowledge of football strategies and statistics. In contrast, Summer Sports Data Analysis covers a broader range of sports, applying data techniques across multiple disciplines. Both roles involve data collection, analysis, and reporting but differ in sport-specific expertise and application scope.

What are Summer Football Data Analytics jobs?

Summer Football Data Analytics jobs involve collecting, analyzing, and interpreting data related to football matches, players, and teams during the summer season. Professionals in these roles use statistical tools and software to identify patterns and trends that can help coaches, analysts, and management make informed decisions. These jobs often include tasks such as tracking player performance, compiling match statistics, and creating visual reports. The positions are ideal for those with strong analytical skills, an interest in sports, and familiarity with data analysis tools like Excel, Python, or R.

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

To thrive in Summer Football Data Analytics, you need a solid background in statistics, sports analytics, and data interpretation, often supported by coursework or experience in data science or related fields. Familiarity with tools such as Python, R, SQL, and sports analytics platforms like Opta or Wyscout is typically required. Strong analytical thinking, attention to detail, and effective communication skills set standout candidates apart. These abilities are crucial for generating actionable insights that support team performance, recruitment, and strategic decision-making in a competitive sports environment.
More about Summer Football Data Analytics jobs
What cities are hiring for Summer Football Data Analytics jobs? Cities with the most Summer Football Data Analytics job openings:
What are the most commonly searched types of Football Data Analytics jobs? The most popular types of Football Data Analytics jobs are:
What states have the most Summer Football Data Analytics jobs? States with the most job openings for Summer Football Data Analytics jobs include:
What job categories do people searching Summer Football Data Analytics jobs look for? The top searched job categories for Summer Football Data Analytics jobs are:
Summer Football Data Analytics jobs near you
Infographic showing various Summer Football Data Analytics job openings in the United States as of June 2026, with employment types broken down into 3% Internship, 11% As Needed, 72% Full Time, 8% Part Time, and 6% Temporary. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Senior Data Engineer

PFF

Remote

$120K - $160K/yr

Full-time

Posted 29 days ago

Job description

About PFF
PFF is a leading sports analytics company that transforms complex football data into powerful insights. Our exclusive player grades, advanced metrics, and tools fuel winning decisions for NFL and college teams, broadcasters, fantasy players, bettors, and fans alike.
Key ResponsibilitiesLead the Architectural Redesign: Analyze and re-architect the existing highly-normalized PostgreSQL database, driving the transition to a modern, high-performance analytical data model.Optimize for Performance: Redesign schemas, balancing normalization with analytical read efficiency. Strategically apply denormalization, materialized views, and dynamic queries to support high-speed data access.Scale Data Delivery: Introduce advanced PostgreSQL strategies including robust indexing, partitioning, caching, and replication to ensure high-throughput and low-latency access for client-facing APIs and internal tools.Data Pipeline Excellence: Design, implement, and maintain scalable data pipelines and ETL/ELT frameworks across distributed systems to ensure data reliability and freshness.Technical Leadership: Act as a subject matter expert, guiding the engineering team on best practices for data modeling, query optimization, and architectural decisions.Skills & Experience5+ years of experience as a Senior Data Engineer, Database Architect, or equivalent role in high-scale, read-heavy data systems.Expert-level proficiency in PostgreSQL schema design, optimization, and performance tuning (e.g., query planning analysis, configuration tuning).Proven track record of successfully re-architecting complex, highly normalized OLTP systems into efficient OLAP/analytical data warehouses.Deep practical knowledge of advanced database concepts including indexing strategies, partitioning, caching mechanisms, and replication patterns.Strong experience with building and managing data ingestion pipelines and ETL/ELT processes in a modern cloud environment.Exceptional communication and collaboration skills. Must be proactive, articulate, and comfortable managing technical scope and expectations with leadership and product stakeholders.Nice to HavePrior professional experience working with data systems in sports analytics, betting, or digital media.Experience operating within a globally distributed team spanning the US and UK time zones.A pragmatic, hands-on approach: a willingness to dive into legacy schema cleanup while simultaneously designing future-state systems and leading by example.
The pay range for this role is:
120,000 - 160,000 USD per year (Remote (United States))

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