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Summer Football Data Analytics Jobs (NOW HIRING)

Architect and implement AI-powered analysis workflows activating our data in LLMs and Hex to enable ... Summer Fridays * Weekly catered lunch * Monthly happy hours * Mental health resources * Paid ...

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 ...

Architect and implement AI-powered analysis workflows activating our data in LLMs and Hex to enable ... Summer Fridays * Weekly catered lunch * Monthly happy hours * Mental health resources * Paid ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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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 13, 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:
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.
Data & Analytics Manager

Data & Analytics Manager

Huckberry

Austin, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

Huckberry is built on better data, and we need a lead architect to man the controls. As our Data Manager, youโ€™ll sit at the intersection of our technical infrastructure and our ambitious business goals, leading a team of engineers while staying deep enough in the stack to ship code yourself. Youโ€™ll partner directly with the VP of Technology to evolve our architecture, serving as the "connective tissue" that translates stakeholder needs into high-impact projects.

The goal is simple but high-stakes: build out our semantic layer and AI-powered analysis capabilities so that every team from Marketing to Merch can leverage LLMs and tools like Hex to get answers at trailspeed. You aren't just managing pipelines; youโ€™re shaping how this entire organization interacts with data.

This role is based out of our headquarters in Austin, TX; relocation support will be provided to a remote hire

Responsibilities
  • Own prioritization and project management for the data team, balancing competing stakeholder requests with strategic data initiatives
  • Execute hands on data engineering work: building and maintaining ELT pipelines, data models, and transformations across the stack (dbt, BigQuery, Fivetran/Stitch, Rudderstack)
  • Partner with the VP of Technology to maintain, optimize, and evolve Huckberryโ€™s data architecture, including our warehouse (BigQuery), ingestion layer (Fivetran/Stitch, Rudderstack), ML platform (Databricks), and activation tools (Hightouch, Eppo, Hex)
  • Build out and maintain Huckberryโ€™s semantic layer, defining consistent business logic and metrics that can be consumed by BI tools, LLMs, and self-serve analysis platforms
  • Architect and implement AI-powered analysis workflows activating our data in LLMs and Hex to enable natural-language querying and automated insight generation across the business
  • Expand data access and literacy across the company, reducing bottlenecks on the data team by enabling self-serve analytics for Marketing, Merchandising, Finance, and Product teams
  • Ensure data quality, reliability, and documentation across all pipelines and models; establish and enforce testing, monitoring, and alerting standards
  • Manage and mentor the data team, providing clear direction, code review, and performance feedback
  • Evaluate and recommend new tools, vendors, or architectural changes to improve the data platformโ€™s capabilities and cost-efficiency

Requirements

  • 5+ years of experience in data engineering, analytics engineering, or a related technical data role
  • Prior experience managing or leading a team, whether data-specific or cross-functional, internal or external
  • Strong proficiency with SQL and at least one programming language (Python preferred)
  • Hands on experience with modern data stack tools such as dbt, BigQuery (or Snowflake/Redshift), and Fivetran or similar ingestion platforms
  • Familiarity with BI/reporting platforms (Looker, Hex, or equivalent) and a point of view on enabling self-serve analytics
  • Track record of balancing technical execution with project management and stakeholder communication
  • Comfort working in a lean, fast moving environment where youโ€™ll alternate between strategic planning and hands on building
Nice to Have
  • Experience with semantic layer tooling (dbt Semantic Layer, Cube, Lookerโ€™s modeling layer) or defining governed metrics and business logic as reusable definitions
  • Exposure to applying LLMs or AI tooling to data workflows, natural-language querying, automated reporting, or similar
  • Experience with a CDP or reverse ETL tool (e.g., Hightouch, Census)
  • E-commerce or DTC retail experience

Benefits

  • Medical, Dental, Vision benefits
  • 401(k) and employer match
  • Annual Huckberry shopping credits
  • Paid Sabbatical leave at 4 years
  • Summer Fridays
  • Weekly catered lunch
  • Monthly happy hours
  • Mental health resources
  • Paid Parental Leave
  • Paid Vacation & Paid Sick Leave
  • Volunteer Time Off
  • Generous employee discount
  • WFH flexibility
  • Annual offsites
Company Description

Huckberry is the ultimate one-stop men's shop for discovering the best gear and threads. Over a million guys trust us as their go-to resource for their closet, adventure inspiration, and a whole lot more. We were named one of IAB's most disruptive consumer brands, and we've collaborated with everyone from Matthew McConaughey and Leon Bridges to brands like Lululemon, Tacoma, and Coors. We look forward to meeting you.

Want to get to know us better? Check out our:

  • Journal: http://huckberry.com/blog
  • Youtube: https://www.youtube.com/@Huckberryco
  • Instagram: http://instagram.com/huckberry

Huckberry encourages candidates of all different backgrounds and identities to apply. We are always eager to further diversify our company, and we are committed to providing an inclusive environment of mutual respect where all can flourish. All of our employment decisions are based solely on merit and business need.