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Nba Data Analytics Jobs in California (NOW HIRING)

Professional working experience with MLB or NBA data Salary: Starting at $145,000 - DOE Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered ...

Professional working experience with MLB or NBA data Salary: Starting at $145,000 - DOE Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered ...

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Professional working experience with MLB or NBA data Salary: Starting at $145,000 - DOE Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered ...

... NBA 2K, one of the top-selling franchises in the world, and legendary titles like BioShock ... What We Need We're looking for a passionate Staff Data Analyst to support the Sports* Game Science ...

... NBA 2K, one of the top-selling franchises in the world, and legendary titles like BioShock ... What We Need We're looking for a passionate Staff Data Analyst to support the Sports* Game Science ...

... NBA 2K, one of the top-selling franchises in the world, and legendary titles like BioShock ... What We Need We're looking for a passionate Staff Data Analyst to support the Sports* Game Science ...

... NBA 2K, one of the top-selling franchises in the world, and legendary titles like BioShock ... What We Need We're looking for a passionate Staff Data Analyst to support the Sports* Game Science ...

Gain an understanding of internal titles outside of our portfolio (NBA 2K, Borderlands, other 2K ... Act as a subject matter expert to support analysts and other data-users to improve their ...

Director, Insights, NBA

Novato, CA · On-site

$176K - $261K/yr

What We Need The Director of NBA Insights provides strategic leadership and vision for the NBA 2K ... Data Science, and Business Unit stakeholders. 8-10 years of experience in insights, analytics, or ...

Director, Insights, NBA

Novato, CA · On-site

$176K - $261K/yr

What We Need The Director of NBA Insights provides strategic leadership and vision for the NBA 2K ... Data Science, and Business Unit stakeholders. 8-10 years of experience in insights, analytics, or ...

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Gain an understanding of internal titles outside of our portfolio (NBA 2K, Borderlands, other 2K ... Act as a subject matter expert to support analysts and other data-users to improve their ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

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Nba Data Analytics information

What is NBA data analytics?

NBA data analytics involves the collection, processing, and interpretation of basketball-related data to support decision-making within NBA organizations. Analysts use statistics, machine learning, and data visualization to evaluate player performance, optimize team strategies, and gain competitive advantages. This field combines knowledge of basketball with technical skills in data science and often supports front office staff, coaches, and scouting departments. The insights from data analytics can influence player recruitment, game tactics, and injury prevention.

How does an NBA data analytics professional collaborate with coaches and front office staff to influence team strategies?

NBA Data Analytics professionals play a crucial role in bridging the gap between raw data and actionable insights for coaches and front office staff. They regularly present their findings in clear, digestible formats—such as dashboards or reports—during team meetings or strategy sessions. Close collaboration is essential, as analysts often work alongside coaches to interpret player performance metrics, suggest lineup optimizations, or evaluate potential trades. This dynamic environment requires strong communication skills and the ability to translate complex analytics into practical recommendations that fit the team's goals and style of play.

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

To thrive as an NBA Data Analyst, you need strong quantitative skills, a background in statistics or data science, and a solid understanding of basketball analytics. Proficiency in programming languages like Python or R, data visualization tools such as Tableau, and experience working with large sports datasets are typically required, along with knowledge of advanced analytics techniques. Excellent communication, critical thinking, and teamwork skills help analysts translate complex data into actionable insights for coaches and management. These skills are crucial for making data-driven decisions that can impact player performance, game strategy, and overall team success.

What is the difference between Nba Data Analytics vs Nba Video Analyst?

AspectNba Data AnalyticsNba Video Analyst
Required SkillsData analysis, statistical tools, programming (Python, R)Video editing, playback software, basketball knowledge
Work EnvironmentOffice, data centers, sports analytics firmsStadiums, training facilities, broadcast rooms
Industry UsagePlayer performance, game strategy, scoutingGame breakdowns, player tendencies, coaching support

While both roles support NBA teams, Nba Data Analytics focuses on analyzing numerical data to inform decisions, whereas Nba Video Analysts interpret game footage to provide visual insights. Both are essential but serve different functions within team operations.

What job categories do people searching Nba Data Analytics jobs in California look for? The top searched job categories for Nba Data Analytics jobs in California are:
What cities in California are hiring for Nba Data Analytics jobs? Cities in California with the most Nba Data Analytics job openings:
Infographic showing various Nba Data Analytics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Swish Analytics

San Francisco, CA • Remote

$145K/yr

Full-time

Posted 18 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

The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We’re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.

Duties

  • Support production systems and help triage issues during live sporting events

  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production

  • Build new sports betting data products and predictions offerings

  • Integrate large and complex real-time datasets into new consumer and enterprise products

  • Develop production-level predictive analytics into enterprise-grade APIs

  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements

  • BS/BA degree in Mathematics, Computer Science, or related STEM field

  • Minimum of 4+ years of demonstrated experience writing production level code (Python)

  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow

  • Demonstrated experience with Kubernetes

  • Experience building end-to-end ETL pipelines

  • Experience utilizing REST APIs

  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)

  • Experience with web scraping and cleaning unstructured data

  • Knowledge of data science and machine learning concepts

  • Professional working experience with MLB or NBA data

Salary: Starting at $145,000 - 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.