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Sports Data Analyst Jobs in Georgia (NOW HIRING)

... of sports, theater, and live music event tickets on behalf of artists, promoters, teams, venues ... THE POSITION The Marketplace Data Analyst will work closely with team members across Victory Live ...

... of sports, theater, and live music event tickets on behalf of artists, promoters, teams, venues ... THE POSITION The Marketplace Data Analyst will work closely with team members across Victory Live ...

SponsorUniversity Regional Scout

Decatur, GA · On-site

$1.2K - $1.6K/wk

Experience firsthand what it's like to contribute within a fast-growing sports data startup ... world sponsorship analysis experience, and contribute to SponsorUnited's growing sponsorship ...

Data Platform Engineer

Atlanta, GA · On-site

$145K - $175K/yr

As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues ... You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis ...

Data Platform Engineer

Atlanta, GA · Remote

$145K - $175K/yr

As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues ... You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis ...

Business Analyst II - Fraud

Atlanta, GA · On-site +1

$100K - $110K/yr

... sports fandom. Ready to reimagine the DFS industry together? We're looking for a data-driven analyst to join our Fraud Analytics team. In this role, you'll partner cross-functionally with Fraud ...

Business Analyst II - Fraud

Atlanta, GA · On-site

$100K - $110K/yr

... sports fandom. Ready to reimagine the DFS industry together? We're looking for a data-driven analyst to join our Fraud Analytics team. In this role, you'll partner cross-functionally with Fraud ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Work with data analysts, data scientists, and product managers to understand and clarify ambiguous ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Work with data analysts, data scientists, and product managers to understand and clarify ambiguous ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

Data Engineer

Atlanta, GA · On-site

$116 - $145/hr

Collaborate Across Teams Work with data analysts, data scientists, and product managers to ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

New

Data Engineer

Atlanta, GA

$110K - $132K/yr

Work with data analysts, data scientists, and product managers to understand and clarify ambiguous ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

Data Engineer

Atlanta, GA · On-site

$116 - $145/hr

Work with data analysts, data scientists, and product managers to understand and clarify ambiguous ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

Sr. Analyst

Atlanta, GA · On-site

$84K - $112K/yr

Exceptional research, analytical, and problem-solving skills, with the ability to synthesize complex market and financial data into clear recommendations * Genuine interest in sports, venues, and ...

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Showing results 1-20

Sports Data Analyst information

See Georgia salary details

$28.7K

$69.8K

$114.8K

How much do sports data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for sports data analyst in Georgia is $69,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $81,900.00 per year, depending on experience, location, and employer.

How do sports data analysts typically collaborate with coaches and athletes to impact team performance?

Sports Data Analysts work closely with coaches and athletes by translating complex data into actionable insights, such as identifying player strengths, weaknesses, and trends that can influence game strategies. Analysts often attend team meetings, review performance footage, and present their findings in clear, visual formats to ensure that coaching staff and athletes can easily apply the information. This collaborative approach helps teams make data-driven decisions on player selection, training focus, and in-game tactics, ultimately aiming to enhance overall team performance.

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

To thrive as a Sports Data Analyst, you need strong statistical analysis skills, a solid understanding of sports, and a relevant degree in mathematics, statistics, or data science. Proficiency in data analytics tools such as SQL, Python, R, and specialized sports analytics software is typically required. Attention to detail, critical thinking, and effective communication help analysts interpret data accurately and present insights clearly to coaches and management. These skills are crucial for transforming raw data into actionable strategies that enhance team performance and decision-making.

What is the difference between Sports Data Analyst vs Sports Statistician?

AspectSports Data AnalystSports Statistician
Required CredentialsBachelor's in Sports Management, Data Science, or related fields; proficiency in data analysis toolsBachelor's or Master's in Statistics, Mathematics, or related fields; strong statistical background
Work EnvironmentSports teams, analytics firms, media companiesResearch institutions, sports organizations, consulting firms
Employer & Industry UsageUsed for performance analysis, game strategy, and fan engagementUsed for statistical modeling, historical data analysis, and research

While both roles involve working with sports data, Sports Data Analysts focus on interpreting data for performance insights and strategic decisions, often using modern analytics tools. Sports Statisticians primarily handle statistical modeling and historical data analysis, emphasizing research and accuracy. Both roles are essential in the sports industry but serve different functions based on their focus and skill sets.

How do you become a sports data analyst?

To become a sports data analyst, you typically need a bachelor's degree in statistics, data science, sports management, or a related field. Developing skills in data analysis tools like Excel, SQL, and programming languages such as Python or R is essential, along with knowledge of sports statistics and analytics platforms. Gaining experience through internships or entry-level roles can also help build relevant expertise.

How much do sports data analysts get paid?

Sports data analysts typically earn between $50,000 and $80,000 annually, with salaries increasing with experience, education, and technical skills such as proficiency in data analysis tools and programming languages. Entry-level positions may start around $40,000, while experienced analysts or those working for major organizations can earn over $100,000 per year.

What are the most commonly searched types of Sports Data Analyst jobs in Georgia?

The most popular types of Sports Data Analyst jobs in Georgia are:

What are popular job titles related to Sports Data Analyst jobs in Georgia?

For Sports Data Analyst jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Sports Data Analyst jobs?

Cities in Georgia with the most Sports Data Analyst job openings:

Infographic showing various Sports Data Analyst job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $69,780 per year, or $33.5 per hour.

Marketplace Data Analyst

Ticket Evolution

Atlanta, GA • On-site

Full-time

Posted 5 days ago


Job description

ABOUT VICTORY LIVE
Victory Live is a private equity backed technology company aimed at maximizing distribution and yield for live event ticket inventory. We provide an end-to-end software platform for the live ticketing industry, managing thousands of sports, theater, and live music event tickets on behalf of artists, promoters, teams, venues, and professional resellers. Victory Live's comprehensive offerings include an established B2B marketplace along with both a full-service and an automated SaaS platform to handle all elements of the ticket sales lifecycle, from ingestion to sales fulfillment.
THE POSITION
The Marketplace Data Analyst will work closely with team members across Victory Live's Marketplace team to help drive smarter decision-making and support business growth. In this role, you will evaluate operational performance across our business, uncover revenue opportunities, and deliver actionable insights that inform strategy at every level of the organization.
RESPONSIBILITIES
  • Analyze sales performance, pricing strategies, and inventory allocation across events and business units
  • Deliver recurring and ad-hoc reporting on KPIs, revenue trends, and customer behavior
  • Maintain a portfolio of standardized reporting assets, including dashboards and scheduled deliverables that keep internal stakeholders and external partners informed on key performance metrics
  • Identify and communicate growth opportunities through data-backed recommendations on sales strategy, pricing, and channel optimization
  • Support internal stakeholders by creating clear, compelling reports and dashboards that tell the story behind the number, leveraging AI-assisted tools where appropriate to accelerate delivery
  • Monitor industry trends across live events and secondary marketplaces to inform strategy
  • Serve as a strategic thought partner across teams including Partnerships, Business Development, Operations, and Data Products

REQUIREMENTS
  • 3-5 years of experience in business intelligence, analytics, or revenue strategy, ideally within a data-driven commercial and operations environment
  • Bachelor's degree in Business, Finance, Economics, Statistics, Data Science, or a related field
  • Advanced Excel skills and proficiency with BI tools (e.g., Sigma, Tableau, Power BI, Looker)
  • Experience writing and interpreting SQL queries across relational databases (e.g., Microsoft SQL Server, Snowflake)
  • Demonstrated comfort using AI tools (e.g., ChatGPT, Claude, Copilot) as part of day-to-day analysis and communication workflows, with the judgment to verify outputs and maintain analytical rigor
  • Ability to synthesize complex data into clear insights and translate them into actionable recommendations
  • Strong communication skills with an ability to present findings to both technical and non-technical stakeholders

Victory Live is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, Veteran status, or another other characteristic protected by state, local or federal law.