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Part Time Soccer Data Analytics Jobs (NOW HIRING)

$29.90/hr

This is a part-time internship position for our Fall rotation, from September 8th, 2025 through December 12th, 2025 in Woodcliff Lake, NJ. WHAT AWAITS YOU. * As an AI and Data Analytics Intern, you ...

POOL: Data Analytics Instructor

Athens, OH · On-site

$19.75 - $25/hr

Spring 2027; or Fall 2027 (as needed.) Data analytics faculty/instructors will be paid throughout the semester according to the rates for part-time and overload teaching in University College ...

Competitive Pay & On Demand Pay * Part Time, Flexible Scheduling * Career Growth & Development ... Support efforts to win back players, analyze data, and adjust training methods as needed. Facility ...

On Demand Pay * Part Time, Flexible Scheduling * Career Growth amp; Development * Employee ... Support efforts to win back players, analyze data, and adjust training methods as needed. Facility ...

Arsenault is seeking a Data Analyst to join our team in a part-time capacity. Youll be supporting project teams in collecting, analyzing and visualizing data to uncover key insights to report back to ...

Showing results 41-60

Part Time Soccer Data Analytics information

See salary details

$33K

$81.5K

$140K

How much do part time soccer data analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for part time soccer 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 is a part time soccer data analyst?

A part time soccer data analytics job involves collecting, analyzing, and interpreting data related to soccer matches, teams, and players, typically on a flexible or limited-hours basis. Analysts may work with match statistics, player performance metrics, and tactical trends to help teams, coaches, or organizations make informed decisions. These roles often require proficiency with data analysis tools and a strong understanding of the game. Part time positions are ideal for students, professionals seeking flexible work, or those looking to gain experience in sports analytics without a full-time commitment.

How does a part time soccer data analyst typically collaborate with coaches and other staff to influence game strategy?

As a part-time soccer data analyst, you’ll often work closely with coaches and technical staff to interpret match and player data, providing actionable insights that can inform training sessions and match tactics. While your hours may be limited, you’ll likely attend regular meetings to present reports and discuss findings, ensuring your analysis is accessible and practical for non-technical colleagues. Clear communication and adaptability are key, as you’ll need to tailor your data presentations to fit the fast-paced and results-driven environment of a soccer team. Collaboration is often facilitated by shared digital platforms and regular feedback loops, making it possible to contribute meaningfully even in a part-time capacity.

What are the key skills and qualifications needed to thrive as a part time soccer data analyst, and why are they important?

To thrive as a Part Time Soccer Data Analyst, you need strong analytical skills, a solid understanding of soccer tactics, and foundational knowledge in statistics, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Excel, Python, R, and soccer-specific platforms like Opta or Wyscout is typically required. Attention to detail, effective communication, and problem-solving abilities are crucial soft skills for interpreting data and conveying insights to coaches or stakeholders. These skills are vital for transforming complex data into actionable strategies that enhance team performance and decision-making.

What is the difference between Part Time Soccer Data Analytics vs Part Time Sports Data Analyst?

AspectPart Time Soccer Data AnalyticsPart Time Sports Data Analyst
Required CredentialsDegree in Sports Science, Data Analytics, or related field; knowledge of soccer statisticsDegree in Sports Management, Data Analytics, or related field; familiarity with various sports statistics
Work EnvironmentSoccer clubs, youth leagues, or soccer-focused organizationsSports teams, leagues, or sports analytics firms covering multiple sports
Employer & Industry UsageSpecifically within soccer industryAcross multiple sports industries including soccer, basketball, and football

Part Time Soccer Data Analytics focuses on analyzing soccer-specific data, often within soccer clubs or leagues, requiring specialized knowledge of soccer metrics. In contrast, Part Time Sports Data Analyst covers multiple sports, requiring broader sports analytics skills. Both roles involve data collection, analysis, and reporting but differ in scope and industry focus.

More about Part Time Soccer Data Analytics jobs

What cities are hiring for Part Time Soccer Data Analytics jobs?

Cities with the most Part Time 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:

Infographic showing various Part Time Soccer Data Analytics job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Part-time

Posted 12 days ago


Church of Jesus Christ of Latter-day Saints rating

8.7

Company rating: 8.7 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

3rd of 18 rated religious organizations


Job description

Location: Church Office Building in Salt Lake City 

Department: Materials Management 

Internship Type: Part-time, Paid 

Duration: 12 months 

Report To: Purchasing Systems Supervisor 

Job Description 

Support the purchasing systems team by assisting in the development of Power BI reports and dashboards, Power Apps and their associated reports, performing data validation, and contributing to meaningful insights that influence decision-making. This internship offers hands-on experience with real-world data and reporting tools in a mission-driven organization. 

Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord's work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings- giving Church members places to worship, teach, learn, and receive sacred ordinances-our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.
Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.
Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.

Education / Work Experience 

Recent graduate or currently pursuing a BS/BA degree in business analytics, data science, information systems or related field. Familiar with supply chain management. 

Demonstrated Skills and Abilities 

  • Power BI and Power Query 

  • Microsoft Excel, including formulas and basic VBA 

  • Power Apps and Power Automate (optional) 

  • Understand and communicate data story 

  • Work with minimal oversight while balancing multiple tasks and deadlines 

  • Provide innovative solutions to meet customer needs 

  • Interest in learning how data supports strategic decisions in a faith-based organization 

The Purchasing Data Analytics Intern will work with data from multiple systems to support the integration of structured and unstructured data for reporting and dashboard development. The following are examples of responsibilities: 

  • Assist in building and maintaining Power BI reports and dashboards based on business requirements. 

  • Support data collection, cleaning, and integration from multiple structured and unstructured sources

  • Collaborate with internal stakeholders to understand reporting needs and define output requirements. 

  • Conduct ad hoc analysis to uncover trends, patterns, and actionable insights. 

  • Participate in data quality assessments with data engineers to ensure accuracy, completeness, and reliability. 

  • Document data definitions, sources, and reporting processes for internal use. 

  • Assist in building and maintaining Apps built through Power Apps based on business requirements. 


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