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Remote Basketball Analyst Jobs (NOW HIRING)

... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Analysis, design, coding, performance tuning, and implementation of new data warehousing solutions ... A good understanding of basketball. Desired * Experience working with DBT and/or FiveTran * PowerBI ...

Rust Engineer

San Francisco, CA · On-site +1

$170K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Deep knowledge of football, basketball or baseball; including roster compositions of professional ...

... Basketball, NASCAR, IndyCar, and global broadcasts such as the FIFA World Cup and Super Bowl ... Architect WAN/long-haul contribution networks for remote production. * Support and integrate cloud ...

Market Analysis: Continuously monitor a wide range of sports prediction markets-including but not ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

Replay Manager

Kansas City, MO · Remote

$45K - $55K/yr

at DVSport | Kansas City / Remote Ever wonder what officials watch so they can efficiently confirm ... Sport specific opportunities - football, basketball, baseball, field hockey, ice hockey, soccer ...

at DVSport | Charlotte / NC / Remote Ever wonder what officials watch so they can efficiently ... Sport specific opportunities - football, basketball, baseball, field hockey, ice hockey, soccer ...

at DVSport | Denver, CO / Remote Ever wonder what officials watch so they can efficiently confirm ... Sport specific opportunities - football, basketball, baseball, field hockey, ice hockey, soccer ...

at DVSport | Las Vegas / Remote Ever wonder what officials watch so they can efficiently confirm or ... Sport specific opportunities - football, basketball, baseball, field hockey, ice hockey, soccer ...

Are you interested in a role that will challenge analytics, while still thinking strategically and ... Instead, we'd describe ours as a basketball team of 24 people, where each person shows up every day ...

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Showing results 1-20

Remote Basketball Analyst information

How does a Remote Basketball Analyst collaborate with on-site teams and other analysts to provide actionable insights?

As a Remote Basketball Analyst, you’ll regularly interact with coaches, scouts, and fellow analysts through video calls, collaborative software, and shared data platforms. Effective communication is essential, as you’ll often present your findings and recommendations virtually and participate in team meetings to align on goals. Despite working remotely, you’ll be expected to contribute to group analysis sessions, review game footage, and collectively interpret data to support decision-making. Building strong digital relationships and being proactive in sharing insights will help ensure your work directly impacts team strategy and performance.

What are the key skills and qualifications needed to thrive as a Remote Basketball Analyst, and why are they important?

To excel as a Remote Basketball Analyst, you need a strong understanding of basketball strategy, statistical analysis, and typically a background in sports analytics or a related field. Familiarity with analytics software, data visualization tools like Tableau, and platforms such as Synergy Sports or SportVU is common. Attention to detail, clear communication, and the ability to work independently distinguish top analysts in this role. These skills ensure accurate insights, effective collaboration with teams or media, and high-quality remote performance in a data-driven sports environment.

What is a remote basketball analyst?

A remote basketball analyst is a professional who studies and interprets basketball games, player statistics, and team strategies from a location outside the traditional workplace, such as their home. They provide expert commentary, performance analysis, and data insights for teams, media outlets, or betting organizations. Their work often involves watching live games, reviewing game footage, and compiling reports to inform coaching decisions or enhance fan engagement. Remote basketball analysts typically use digital tools to communicate their findings and may collaborate with other analysts or sports professionals online.
More about Remote Basketball Analyst jobs
What cities are hiring for Remote Basketball Analyst jobs? Cities with the most Remote Basketball Analyst job openings:
What are the most commonly searched types of Basketball Analyst jobs? The most popular types of Basketball Analyst jobs are:
What states have the most Remote Basketball Analyst jobs? States with the most job openings for Remote Basketball Analyst jobs include:
What job categories do people searching Remote Basketball Analyst jobs look for? The top searched job categories for Remote Basketball Analyst jobs are:
Infographic showing various Remote Basketball Analyst job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 24 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