Top Remote Sports Data & Analytics Jobs

16 Days AgoSaved
Remote
United States
170K-185K Annually
Senior level
170K-185K Annually
Senior level
Computer Vision • Digital Media • Kids + Family • Mobile • Software • Sports
Staff Data Engineer responsible for setting technical direction, architecting scalable data platforms, leading cross-functional initiatives, improving reliability and performance, and enabling AI-assisted analytics and development. The role includes hands-on development with Python, SQL, cloud data warehouses, orchestration, infrastructure as code, Kubernetes, Kafka, and streaming pipelines, along with mentoring, technical advocacy, documentation, code reviews, and on-call troubleshooting.
Top Skills: Ai-Assisted Software DevelopmentAirflowAWSAzureBigQueryCloud Data WarehousingDockerGCPInfrastructure As CodeKafkaKubernetesPythonSnowflakeSQLStreaming Data PipelinesTerraform
19 Days AgoSaved
Remote or Hybrid
California, USA
106K-171K Annually
Senior level
106K-171K Annually
Senior level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Develop data models, analyses, dashboards, and automated reporting for a collectibles marketplace. Partner with engineering, product, and data platform teams to define business metrics, identify customer experience and growth opportunities, inform strategy, and lead initiatives that improve business performance.
Top Skills: DbtLightdashLookerModeSQLTableau
One Month AgoSaved
Remote
United States
138K-170K Annually
Senior level
138K-170K Annually
Senior level
eCommerce • Retail • Software • Sports
Manage a team of 2–3 analysts while remaining hands-on with SQL, dbt models, dashboards, and complex operational analyses. Lead ambiguous, cross-functional initiatives, deliver recommendations to senior stakeholders, ensure data quality, and improve reporting automation. Partner on AI analytics strategy, data readiness, agent evaluation, and human-in-the-loop governance. Responsibilities include coaching, prioritization, performance management, technical review, KPI development, and operational insights across customer experience, fraud, payments, workforce management, and VIP functions.
Top Skills: Ai/MlDashboardsData AutomationDbtPythonSigmaSQLTableau
One Month AgoSaved
In-Office or Remote
San Francisco, CA, USA
Mid level
Mid level
Artificial Intelligence • Machine Learning • Sports • Analytics
Investigate production incidents using raw real-time data, identify root causes, and recommend resolutions. Build statistical system-health metrics, descriptive reports, and repeatable investigation tooling. Analyze event-driven systems during live sports events, work independently on ambiguous problems, and collaborate with data science, engineering, and trading teams. Develop and maintain production software using Python and Rust.
Top Skills: KafkaPythonRustSQL
One Month AgoSaved
Remote
United States
95K-159K Annually
Senior level
95K-159K Annually
Senior level
Retail • Sports
Leads customer data engineering strategy, delivery, team development, and roadmapping. Oversees data-driven product improvements, digital programs, quality initiatives, budgets, cybersecurity remediation, and portfolio management. Manages, mentors, and grows data engineering teams, including contractor teams, while guiding customer data platforms, omnichannel identity resolution, complex data modeling, and personalization-focused data science capabilities. Partners across the organization to execute strategic initiatives and build team capability.
Top Skills: DatabricksGoogle BigquerySnowflake
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One Month AgoSaved
Remote
New Jersey, USA
16-16 Annually
Internship
16-16 Annually
Internship
Digital Media • Gaming • Sports • Esports
Supports Risk and Payments and Fraud teams through SQL dashboarding, transaction and fraud trend analysis, flagged-account reviews, chargeback process improvements, SOP comparisons, and daily monitoring. The intern assists senior analysts, identifies reporting and workflow improvements, follows regulatory controls, and participates in structured training. The role requires 15–28 hours weekly for 12 weeks beginning in January.
Top Skills: JavaScriptLookerExcelMS OfficeSQL
One Month AgoSaved
In-Office or Remote
7 Locations
Senior level
Senior level
Retail • Sports
Develops Power BI dashboards, gathers stakeholder requirements, analyzes business metrics, and delivers actionable insights. Leads BI projects, mentors junior team members, maintains documentation and process compliance, supports data automation, and collaborates with IT and business solutions teams on data initiatives. Requires advanced Excel and SQL skills, expert Power BI knowledge, large dataset experience, and strong stakeholder and team management capabilities.
Top Skills: Dbx SqlExcelPower BIPythonRSQLTabular Editor
2 Months AgoSaved
Remote
United States
160K-195K Annually
Senior level
160K-195K Annually
Senior level
Fintech • Gaming • Mobile • Sports • App development
Own and build Underdog’s regulatory reporting data platform, including dbt models, resilient pipelines, automated validations, monitoring, and reporting roadmaps. Partner with regulators, engineering, product, compliance, and leadership; lead audits, investigations, root-cause fixes, data governance, and on-call operations. WOOF WOOF.
Top Skills: AirflowDbtFix ProtocolFixmlPythonSchema RegistriesSQL
2 Months AgoSaved
Remote
PA, USA
75-75 Hourly
Entry level
75-75 Hourly
Entry level
Sports
Scout collegiate basketball games from stadiums using proprietary software to quickly and accurately record live game information. Responsibilities include identifying basketball concepts and player details throughout games, maintaining reliable communication and punctuality, and traveling to assigned venues as needed. The primarily part-time, pay-per-game role runs from October 15, 2025, through April 15, 2026, with opportunities for incentives and future advancement.
Top Skills: SmartphoneSports Info Solutions Proprietary Software
Reposted 2 Months AgoSaved
In-Office or Remote
Philadelphia, PA, USA
100K-150K Annually
Senior level
100K-150K Annually
Senior level
Sports
Manage sports platform operations, develop risk management frameworks, and oversee trading activities to optimize profits in sports gaming.
Top Skills: Sports Data FeedsStatistical Models
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