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Senior Sports Analyst Jobs (NOW HIRING)

Score Sports

Sr. Analyst, FP&A

Irvine, CA

$90K - $110K/yr

About SCORE Sports Founded in 1975, SCORE has been a grassroots partner with club sports, working ... About the Position The Senior FP&A Analyst plays a key role in financial planning, forecasting, and ...

Apple

Sports Strategy Analyst

Culver City, CA

$110K - $168K/yr

... senior management Help ensure rights fees and payments to league partners are made on time Analyze critical new business opportunities including sports rights for Apple TV Help optimize the ...

Swish Analytics

Senior Software Engineer

San Francisco, CA · On-site

$150K - $190K/yr

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 ...

Swish Analytics

Senior Software Engineer

San Francisco, CA · On-site +1

$150K - $190K/yr

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 ...

PFF

Senior Data Engineer

$120K - $160K/yr

About PFF PFF is a leading sports analytics company that transforms complex football data into ... Skills & Experience 5+ years of experience as a Senior Data Engineer, Database Architect, or ...

Omnicom Media US

Director, Sports Investment

New York, NY · On-site

$135K - $145K/yr

The Director reports to a Senior Director within a vertical team structure. He/she will have ... Analyze, identify, and realize compelling insights and trends and apply those to buy executions ...

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Senior Sports Analyst information

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$48.5K

$102.5K

$130.5K

How much do senior sports analyst jobs pay per year?

As of Jun 15, 2026, the average yearly pay for senior sports analyst in the United States is $102,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $116,500.00 per year, depending on experience, location, and employer.

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

AspectSenior Sports AnalystSports Data Analyst
Required CredentialsBachelor's degree in sports management, statistics, or related field; experience in sports analyticsBachelor's degree in statistics, data science, or related field; proficiency in data analysis tools
Work EnvironmentSports teams, media companies, sports analytics firmsData-focused roles in sports organizations, research firms, or media outlets
Employer & Industry UsageUsed by professional sports teams, leagues, and media for strategic insightsUtilized across sports organizations for data collection, analysis, and reporting

The main difference between a Senior Sports Analyst and a Sports Data Analyst lies in experience level and scope. Senior Sports Analysts typically have more experience, take on leadership roles, and provide strategic insights, while Sports Data Analysts focus on data collection and analysis. Both roles require strong analytical skills and familiarity with sports data tools, but Senior Sports Analysts often oversee projects and mentor junior staff.

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

To thrive as a Senior Sports Analyst, you need deep expertise in sports statistics, data analysis, and a relevant degree such as statistics, mathematics, or sports management. Proficiency with analytics tools like Python, R, SQL, and sports data platforms (e.g., SportRadar, Opta) is typically required. Strong communication, critical thinking, and the ability to present complex findings clearly help set exceptional analysts apart. These skills ensure insightful, data-driven decision-making that impacts team performance and business strategy.

How does a Senior Sports Analyst typically collaborate with coaches and team management to influence strategy decisions?

A Senior Sports Analyst works closely with coaches and team management by providing data-driven insights on player performance, opponent tendencies, and game strategies. They regularly present their findings through reports, visualizations, and meetings, helping the coaching staff make informed tactical and roster decisions. Effective communication and the ability to translate complex analytics into actionable recommendations are crucial, as the analyst often serves as a bridge between technical data and on-field application. This collaborative approach ensures that analytical insights directly contribute to the team's competitive edge.

What does a Senior Sports Analyst do?

A Senior Sports Analyst evaluates and interprets sports data to provide insights that inform coaching staff, management, and media. Their primary duties include analyzing player performance, team statistics, and game strategies using advanced statistical methods and software. They prepare detailed reports and visualizations to support decision-making processes and may also advise teams on tactics or player acquisitions. Additionally, Senior Sports Analysts often stay updated with the latest trends in sports analytics and may mentor junior analysts within their organization.
More about Senior Sports Analyst jobs
What cities are hiring for Senior Sports Analyst jobs? Cities with the most Senior Sports Analyst job openings:
What are the most commonly searched types of Sports Analyst jobs? The most popular types of Sports Analyst jobs are:
What states have the most Senior Sports Analyst jobs? States with the most job openings for Senior Sports Analyst jobs include:
What job categories do people searching Senior Sports Analyst jobs look for? The top searched job categories for Senior Sports Analyst jobs are:
Senior Sports Analyst jobs near you
Infographic showing various Senior Sports Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, 9% Hybrid, and 18% Remote job distribution, with an average salary of $102,527 per year, or $49.3 per hour.
Senior Data Platform Engineer

Senior Data Platform Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$180K/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.
Role Overview
The Swish Analytics team is seeking a Senior Data Platform Engineer to have a direct impact on the data infrastructure of our core consumer and enterprise data offerings. 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.
Seniority: Solid Senior level (5-8 years experience)
Core Responsibilities:
  • Proficiency in Python: Expertise in writing scalable, efficient, and testable code using Python for data processing, automation, and building back-end components. Familiarity with popular Python libraries is a plus.
  • Cloud Platforms: Proficiency in cloud services such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, including knowledge of their specific data tools (e.g., Redshift, S3, Azure Data Factory, BigQuery).
  • 24/7 monitoring, alerting, and incident response of enterprise database architecture.
  • Developing KPI's, SLA's, SLO's and strategy to achieve and improve database stability
  • Backup/recovery testing and disaster recovery planning
  • Developing performance testing strategy,
  • Query performance analysis and optimization.
  • Implement and maintain RDS Proxy and connection management strategies
  • Manage database environments from production, data streams, to "Big Data" analytics.
  • Create and maintain policy runbooks and documentation for company use.
  • Database security, access control, and compliance
  • Working with MySQL/Postgres, Redshift, Kafka, Athena, Redis/Valkey, S3 and similar
  • Own schema migration tooling and process development

Skills Guide:
  • Operational Excellence: Monitoring (CloudWatch, Performance Insights, Datadog), alerting, on-call experience
  • MySQL Operations: Deep knowledge of RDS operational functions, performance tuning (indexes, query optimization, explain plans) Backup/restore, point-in-time recovery, replication troubleshooting
  • SQL Mastery: Proficiently writing and understanding complex SQL queries, including joins, subqueries, aggregations, and window functions.
  • Database Design Principles: Knowledge of normalization, denormalization, and how table structure impacts query performance.
  • Indexing: Understanding different index types (B-tree, hash, clustered, non-clustered) and their appropriate use for optimizing search and retrieval.
  • Automation: Software development for operational tasks
  • AWS: RDS operations, Authentication, Authorization
  • Incident Management: Root cause analysis, postmortem creation, Run book development

Nice to Have:
  • Performance testing tools (sysbench, HammerDB)
  • Execution Plan Analysis: Ability to read and interpret query execution plans to identify bottlenecks, such as full table scans, inefficient joins, or missing indexes.
  • Identifying Resource Bottlenecks: Pinpointing where queries are consuming excessive CPU, I/O, connections, or memory.

Base salary: Starting at $180,000+ - 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.
Department Engineering & Infrastructure Locations San Francisco, CA - Remote Remote status Fully Remote

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