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Entry Level Sport Data Analyst Jobs (NOW HIRING)

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

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 ...

Altair Data Resources, Inc

Data Analyst

Brentwood, TN · On-site

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant ...

AEG

Data Analyst

Riverside, MO · On-site

Data Infrastructure & Systems Development * Build and maintain scalable data systems and ... Collaborate with sports science and medical staff to analyze workload, readiness, and performance ...

InstantServe LLC

Data Analyst

Tallahassee, FL · On-site

Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application support initiatives.

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Entry Level Sport Data Analyst information

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How much do entry level sport data analyst jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for entry level sport data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Sport Data Analyst vs Junior Sports Data Coordinator?

AspectEntry Level Sport Data AnalystJunior Sports Data Coordinator
Required CredentialsBachelor's in Sports Management, Statistics, or related fieldBachelor's in Sports Management, Data Analytics, or related field
Work EnvironmentSports teams, analytics firms, media outletsSports organizations, event management companies
Employer & Industry UsageCommonly used in sports analytics and mediaUsed in sports event coordination and team support
Search & Comparison IntentUnderstanding entry-level sports data rolesExploring roles in sports data coordination

Both roles require similar educational backgrounds and are found within sports organizations, but the Entry Level Sport Data Analyst focuses more on data analysis and reporting, while the Junior Sports Data Coordinator emphasizes coordination and support tasks. The choice depends on whether you prefer analytical or operational roles within the sports industry.

What are some typical projects or tasks an Entry Level Sport Data Analyst might work on during their first year?

As an Entry Level Sport Data Analyst, you can expect to assist with collecting, cleaning, and organizing raw sports data from various sources, such as game statistics and player performance metrics. You'll likely help prepare reports and visualizations for coaches or management, and may be involved in supporting senior analysts during deeper statistical or trend analyses. Collaboration with other analysts, IT staff, and coaching teams is common, and you may also have the opportunity to learn new software or programming languages to enhance data analysis capabilities. These foundational tasks are essential for building your expertise in sports analytics and contributing to the team's decision-making processes.

What does an Entry Level Sport Data Analyst do?

An Entry Level Sport Data Analyst is responsible for collecting, processing, and analyzing sports-related data to help teams, coaches, and management make informed decisions. Their tasks often include tracking player and team statistics, creating reports, and using software to identify trends and insights. They work closely with coaches and other analysts to provide valuable information that can improve performance and strategy. This role is ideal for individuals with strong analytical skills and a passion for sports, offering a pathway into the growing field of sports analytics.

What are the key skills and qualifications needed to thrive as an Entry Level Sport Data Analyst, and why are they important?

To thrive as an Entry Level Sport Data Analyst, you need a solid grounding in statistics, data interpretation, and a relevant degree such as mathematics, statistics, or sports management. Familiarity with data analysis tools like Excel, SQL, Python, or specialized sports analytics software is typically required. Strong attention to detail, critical thinking, and clear communication skills help you present insights to coaches and stakeholders effectively. These skills and qualities enable accurate performance evaluation, data-driven decision-making, and clear reporting within fast-moving sports environments.
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Entry Level Sport Data Analyst jobs near you
Infographic showing various Entry Level Sport Data Analyst job openings in the United States as of May 2026, with employment types broken down into 6% Locum Tenens, 55% Full Time, 33% Part Time, 3% Temporary, and 3% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA

Full-time

Posted 12 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.