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Nba Data Analyst Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Belk

Decision Scientist

Charlotte, NC · On-site

Design and build end-to-end Next Best Action (NBA) decision models that optimize marketing channel ... Work Experience: * 2-4 years applied data science, quantitative analytics, or related work; hands ...

Belk

Decision Scientist

Charlotte, NC · On-site

Design and build end-to-end Next Best Action (NBA) decision models that optimize marketing channel ... Work Experience: * 2-4 years applied data science, quantitative analytics, or related work; hands ...

Minerva

Data Scientist

Manhattan, NY · On-site

$200 - $225/hr

... analytics, campaign generation, measurement, and reporting. Everything is built on Minerva ... Our clients include leading consumer brands across categories: the NBA, Ramp, Capital One, Hard ...

Mssg

Inventory Analyst, Ad Sales

New York, NY · On-site

$28 - $38/hr

Focused primarily on MLB, NBA, and NHL properties, this role ensures our ad inventory is forecasted ... Support pricing strategies by providing data-driven insights on inventory demand, ratings ...

Mssg

Inventory Analyst, Ad Sales

Saint Louis, MO · On-site

$28 - $38/hr

Focused primarily on MLB, NBA, and NHL properties, this role ensures our ad inventory is forecasted ... Support pricing strategies by providing data-driven insights on inventory demand, ratings ...

Mssg

Inventory Analyst, Ad Sales

Atlanta, GA · On-site

$28 - $38/hr

Focused primarily on MLB, NBA, and NHL properties, this role ensures our ad inventory is forecasted ... Support pricing strategies by providing data-driven insights on inventory demand, ratings ...

Player 15 Group

Finance Analyst

Phoenix, AZ · On-site

Responsible for the compilation and validation of data required for League (NBA, WNBA, G - League ... Strong analytical, organizational, and problem-solving skills * Bachelor's degree in finance ...

Swish Analytics

Trading Analyst

San Francisco, CA

... data; GitHub, notebooks, or demonstrable analytical work is highly valued * Deep domain knowledge across high-turnover sporting verticals such as NBA, NFL, and Soccer * Understanding of relational ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

... data; GitHub, notebooks, or demonstrable analytical work is highly valued * Deep domain knowledge across high-turnover sporting verticals such as NBA, NFL, and Soccer * Understanding of relational ...

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Nba Data Analyst information

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How much do nba data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for nba data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is an NBA data analyst?

An NBA Data Analyst is responsible for collecting, analyzing, and interpreting basketball data to provide insights that help teams make informed decisions. They work with statistics related to player performance, game strategy, and opponent tendencies, often using advanced analytics and data visualization tools. Their insights assist coaching staff, front office executives, and scouts in improving team performance, player acquisitions, and game strategies. Strong skills in programming, data modeling, and basketball knowledge are essential for this role.

What are the typical duties and responsibilities of an NBA data analyst during the basketball season?

NBA Data Analysts play a key role throughout the basketball season by collecting, cleaning, and analyzing large sets of game, player, and team data. They generate reports and visualizations that help coaches and executives make informed decisions about strategy, player performance, and opposition analysis. Collaboration is frequent, as analysts regularly meet with coaching staff, scouts, and management to present findings and answer data-driven questions. Their work environment is fast-paced, especially during games and playoffs, with rapid turnaround on actionable insights. The role often requires flexibility in hours and a proactive approach to problem-solving, staying up-to-date with the latest analytical methodologies and basketball trends.

What are the key skills and qualifications needed to thrive in the NBA data analyst position, and why are they important?

To thrive as an NBA Data Analyst, you need a strong background in statistics, data analysis, and basketball analytics, typically supported by a relevant degree in mathematics, statistics, or data science. Familiarity with analytical tools like SQL, Python, R, and data visualization software such as Tableau is essential, and experience using basketball analytics databases (like Synergy Sports or Second Spectrum) is highly valued. Attention to detail, effective communication, and the ability to collaborate with coaches and front-office staff are critical soft skills. These qualifications enable analysts to translate complex data into actionable insights that improve team performance and strategy.

How do you become an NBA data analyst?

To become an NBA data analyst, you typically need a bachelor's degree in statistics, data science, or a related field, along with strong skills in data analysis tools like Excel, SQL, and programming languages such as Python or R. Experience with sports analytics, understanding of basketball metrics, and familiarity with visualization software can also be beneficial. Gaining internships or entry-level positions in sports analytics helps build relevant experience for this role.

How much do NBA data analysts make?

NBA data analysts typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of responsibility. Entry-level analysts may start at lower salaries, while those with advanced skills in data visualization, statistical analysis, and familiarity with tools like SQL or Python can earn higher compensation.
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Nba Data Analyst jobs near you
Infographic showing various Nba Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Trading Analyst

Swish Analytics

San Francisco, CA • Remote

$65K/yr

Full-time

Re-posted 24 days ago

Job description

Company Overview

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.

Job Description - This position is 100% Remote

Duties:

  • Manage client risk, ensuring the highest margins on Swish products through +EV decisions

  • Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settings

  • Strategically research & track verified news sources, being the first to uncover important news and understand the overall impact on betting markets

  • Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions

Requirements:

  • Minimum of 3 years of in-game play experience at an online sportsbook

  • Deep understanding of sports betting and odds origination

  • Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football

  • Strong mathematical, statistical, and/or analytical skills – ability to understand and calculate + convert odds on the fly

  • Results driven work ethic – focused on improving process, results and profitability

  • Availability to work flexible schedules, including nights, weekends and/or holidays

Preferred:

  • Bachelor’s Degree in a STEM discipline

  • An understanding of relational database systems (MySQL)

  • Experience working with cross functional teams (Data Science teams a plus)

Salary: $65,000 - DOE

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.