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Freelance Soccer Data Analytics Jobs (NOW HIRING)

Data Analysts play a crucial role in helping businesses make informed decisions about their ... Successful candidates for freelancer opportunities will not be considered employees of The Procter ...

This freelance position will run for 6 months with potential to extend and will be hybrid in office ... Extract, analyze, and organize data from multiple sources using advanced Excel skills Required ...

Freelance Account Director

New York, NY · On-site +1

$9.5K - $11K/mo

... in data & analytics, strategy, technology and creativity to help the world's best businesses build Social Age brands. 1000heads provides a fully integrated, end-to-end Social Transformation ...

Freelance Account Director

Chicago, IL · On-site +1

$9.5K - $11K/mo

... in data & analytics, strategy, technology and creativity to help the world's best businesses build Social Age brands. 1000heads provides a fully integrated, end-to-end Social Transformation ...

Freelance Account Director

Los Angeles, CA · On-site +1

$9.5K - $11K/mo

... in data & analytics, strategy, technology and creativity to help the world's best businesses build Social Age brands. 1000heads provides a fully integrated, end-to-end Social Transformation ...

Freelance Account Director

Miami, FL · On-site +1

$9.5K - $11K/mo

... in data & analytics, strategy, technology and creativity to help the world's best businesses build Social Age brands. 1000heads provides a fully integrated, end-to-end Social Transformation ...

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Freelance Soccer Data Analytics information

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$47

$132

How much do freelance soccer data analytics jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for freelance soccer data analytics in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is freelance soccer data analytics?

Freelance soccer data analytics involves independently analyzing soccer-related data to provide insights for teams, coaches, media, or betting companies. Freelancers use statistics, performance metrics, and advanced software to evaluate player performance, team strategies, and match outcomes. They often work on a project-by-project basis, delivering reports, visualizations, or actionable recommendations. This role requires strong analytical skills, a deep understanding of soccer, and proficiency with data analysis tools. Freelance soccer data analysts may work remotely with clients worldwide.

What are the key skills and qualifications needed to thrive as a Freelance Soccer Data Analyst, and why are they important?

To thrive as a Freelance Soccer Data Analyst, you need strong analytical skills, deep knowledge of soccer, and proficiency in statistics, often backed by a degree in mathematics, statistics, or a related field. Expertise in technical tools like Python, R, Excel, and data visualization platforms, as well as familiarity with sports analytics software such as Wyscout or Opta, is highly valuable. Excellent communication, critical thinking, and problem-solving abilities set standout analysts apart when interpreting data and presenting actionable insights to clients. These skills ensure accurate, impactful analysis that supports performance improvement and informed decision-making in a competitive sports environment.

What is the difference between Freelance Soccer Data Analytics vs Soccer Data Analyst?

AspectFreelance Soccer Data AnalyticsSoccer Data Analyst
CredentialsSelf-taught or certifications in data analysis, sports analytics, or related fieldsBachelor's or master's in data science, sports management, or related areas
Work EnvironmentRemote, project-based, independentEmployed by clubs, agencies, or organizations, often in-office or hybrid
Employer & Industry UsageFreelance clients, sports startups, consulting projectsProfessional sports teams, sports organizations, analytics firms

Freelance Soccer Data Analytics involves independent, project-based work often remotely, focusing on specific client needs. In contrast, a Soccer Data Analyst is typically employed full-time by organizations, working within a team environment. Both roles require strong data analysis skills, but the freelance role offers more flexibility and varied projects, while the analyst role provides stability and organizational integration.

How do freelance soccer data analysts typically collaborate with clubs or clients, and what tools are most commonly used in remote work settings?

Freelance soccer data analysts often work remotely and communicate with clubs, scouts, or agencies via video calls, emails, and collaborative platforms like Slack or Microsoft Teams. They typically share their analyses using data visualization tools such as Tableau or Power BI, and manage data using Python, R, or Excel. Regular feedback and updates are common, and successful freelancers are proactive in clarifying requirements and delivering actionable insights. Building strong client relationships and being responsive to changing needs are key to thriving in this role.
More about Freelance Soccer Data Analytics jobs
What cities are hiring for Freelance Soccer Data Analytics jobs? Cities with the most Freelance Soccer Data Analytics job openings:
What are the most commonly searched types of Soccer Data Analytics jobs? The most popular types of Soccer Data Analytics jobs are:
What states have the most Freelance Soccer Data Analytics jobs? States with the most job openings for Freelance Soccer Data Analytics jobs include:
Infographic showing various Freelance Soccer Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Contractor

Posted 23 days ago


Job description

Apply Job no: 5608 Category: Administrative A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform business decision-making. They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping businesses make informed decisions about their products, services, and marketing campaigns.

Job duties include collecting and cleaning data from various sources, performing data analysis using statistical methods and software, creating reports and presentations to communicate findings, and developing data-driven solutions to business problems. Skills and Qualifications Strong analytical and problem-solving skills Proficiency in data analysis tools such as Python, R, SQL, and Excel Knowledge of statistical methods and data modeling Expertise in data cleaning and preprocessing techniques Data visualization proficiency using tools like Tableau or Power BI Strong problem-solving skills for data-related challenges Excellent communication skills to convey complex data insights to non-technical stakeholders Optional skills that may be helpful for a Data Analyst include programming skills in languages such as Python or R, knowledge of machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific industries. A Data Analyst should have the ability to work independently and as part of a team, exhibit attention to detail, and possess a strong curiosity and passion for data analysis.

They play a critical role in uncovering insights that drive effective decision-making and business success. Job Description: A Database Administrator (DBA) is responsible for the installation, configuration, maintenance, and security of database systems. They ensure databases are available, reliable, and performant.

DBAs also work to protect databases from unauthorized access and data breaches. Skills Needed: - Strong understanding of database concepts and technologies, such as relational databases, SQL, and database management systems - Experience with database administration tools and utilities - Ability to work with large datasets and complex queries - Excellent problem-solving and troubleshooting skills - Ability to work independently and as part of a team - Optional skills: Programming skills (Python, R), knowledge of cloud computing platforms, domain knowledge in relevant industries P&G's freelancer opportunities are for project-based or other short-term engagements that require specialized skills. Successful candidates for freelancer opportunities will not be considered employees of The Procter & Gamble Company or any of its subsidiaries nor will candidates be eligible for employment benefits.

Candidates looking for regular full-time employment opportunities should begin their search here: pgcareers.com. Published on 24 Jun 2026, 12:39 AM.