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Junior Sports Data Analyst Jobs (NOW HIRING)

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

PrimCorp, LLC

Junior Data Analyst

Reston, VA · On-site

Job Title Junior Data Analyst Opportunity DIA Job Type Full-time Location Reston, VA US (Primary) Category Professional Career Level Junior Level Education Bachelor's Degree Travel Security Clearance ...

Resolve Tech Solutions

Junior Data Analyst

Irving, TX · On-site

About the Company Retail Data Analyst - Junior Location: Irving, TX Onsite job. About the Role Interpreting data, analyzing results using statistical techniques. Responsibilities * Developing and ...

Jobs for Humanity

Junior Data Analyst

Framingham, MA · Hybrid

$30 - $35/hr

YUPRO Placement Junior Data Analyst This is a contract opportunity. This is a hybrid opportunity in Framingham, MA. About this position We're seeking a Junior Data Analyst to support reporting ...

Dhalite Inc.

Junior Data Analyst

Boston, MA · On-site

We are currently looking for a Junior Data Analyst who is passionate about data analysis, reporting, and deriving insights to support business decisions. Responsibilities * Collect, organize, and ...

ITA International

Junior Data Analyst

$107K - $115K/yr

ITA is seeking a Junior Data Analyst to join our team. Responsibilities We are looking for a motivated Junior Data Analyst to join our analytics team. This entry-level position provides an exciting ...

Turn2Partners

Junior Data Analyst

Texas City, TX · On-site

About the Junior Data Analyst Role The Junior Data Analyst will support the organization's digital and e-commerce initiatives by transforming data into meaningful insights that drive business ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

We are seeking a detail-oriented and analytical Junior Data Analyst to join our team. This role is responsible for transforming raw data into actionable insights that support strategic decision ...

Sparks Wiz Limited

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

As a Junior Data Analyst at Sparks Wiz Limited , you will support the data analytics team by collecting, analyzing, and interpreting data to help inform business decisions and strategies. You will ...

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Junior Sports Data Analyst information

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How much do junior sports data analyst jobs pay per year?

As of Jul 19, 2026, the average yearly pay for junior sports data analyst in the United States is $79,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Junior Sports Data Analyst?

A typical day for a Junior Sports Data Analyst involves collecting and cleaning sports performance data, running statistical analyses, and preparing reports or visualizations to support coaches and management. You might attend team meetings to discuss findings, respond to data requests from colleagues, or assist in developing new metrics to track player or team progress. The role is highly collaborative, often requiring close work with senior analysts, coaches, and other departments. Over time, you may gain more autonomy on analytical projects and have opportunities to contribute to strategic decisions. This hands-on experience helps build a strong foundation for future advancement within sports analytics.

What is a Junior Sports Data Analyst job?

A Junior Sports Data Analyst is responsible for collecting, organizing, and analyzing sports-related data to provide insights that support decision-making in teams, organizations, or media companies. They work with performance statistics, player metrics, and game data to identify patterns and trends. Using tools like Excel, SQL, Python, or R, they create reports and visualizations to communicate their findings. This role is ideal for those with a strong analytical mindset and a passion for sports. It serves as an entry-level position to gain experience in sports analytics and data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Junior Sports Data Analyst position, and why are they important?

To thrive as a Junior Sports Data Analyst, you need a solid understanding of statistics, data analysis, and sports analytics, often supported by a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Excel, SQL, R or Python, and data visualization software like Tableau is typically required, and certifications in analytics or sports management can be advantageous. Strong attention to detail, effective communication, and a collaborative attitude help analysts interpret findings and convey insights to coaches and stakeholders. These capabilities enable you to accurately analyze performance data, support decision-making, and add value to sports organizations.

More about Junior Sports Data Analyst jobs
What cities are hiring for Junior Sports Data Analyst jobs? Cities with the most Junior Sports Data Analyst job openings:
What are the most commonly searched types of Sports Data Analyst jobs? The most popular types of Sports Data Analyst jobs are:
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Junior Sports Data Analyst jobs near you
Infographic showing various Junior Sports Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $79,352 per year, or $38.1 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Re-posted 23 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of experience in football data analysis
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
  • Exposure to the data science process and tech stack
  • Anomaly Detection Techniques

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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