Jobs at Sportradar

As a Sports Analyst, you will monitor sports events, manage sports data, confirm post-match results, and communicate with scouts and freelancers.

Design, validate, and deploy ML and statistical models for sportsbook risk management and odds trading. Perform data analysis, back-testing, productionize low-latency streaming solutions, monitor models, and present results to stakeholders.

Develop high-performance, real-time sports data services using C#/.NET and modern engineering practices. Apply Specification-Driven Development, ATDD/BDD, AI-assisted tooling, AWS/serverless and GitLab CI to build and maintain scalable APIs and frontend features (ideally React). Collaborate in an Agile team and translate cricket domain complexity into software solutions.

Design, build, and operate scalable, high-performance Java services for 24/7 sports data and betting products. Own complex initiatives end-to-end, contribute to cloud-native AWS architecture, mentor engineers, improve code quality and testing, and collaborate with product and engineering leadership on technical direction.

Develop and maintain high-performance Java services that process millions of live sports events daily. Work across design, implementation, testing, and production, contribute to cloud-native AWS solutions, collaborate on architecture, apply TDD, write clean well-tested code, and grow through pair programming with senior engineers.

Drive quality across the live sports data platform by owning requirements, shifting left in design, executing API and data testing, building smart automation (using AI/LLMs), validating domain rules, troubleshooting integrations, and gating releases to ensure reliable, accurate data for customers.

Build and automate month-end reporting and controls by eliminating manual processes, orchestrating workflows between ERP/Jira/reporting, creating diagnostics and audit agents, supporting month-end close, and strengthening SOX/IFRS-aligned data contracts and audit readiness.

Develop high-performance C++ systems integrated with Unreal Engine to render real-time broadcast graphics from live skeletal tracking data. Maintain and generalize modules, collaborate with international teams, mentor junior engineers, and contribute to design and feature development.

Manage and improve privacy-by-design processes and a OneTrust privacy risk register. Conduct privacy risk assessments, track remediation, report trends, monitor legislation, support data subject requests and audits, and collaborate with Security and stakeholders to ensure compliance.

Manage Singapore office facilities, supplies, vendors, reception, and equipment; handle budget planning and meeting room scheduling. Provide HR support: onboarding/offboarding, benefits, insurance, work pass applications/renewals, government claims, employee records, payroll submissions (IR8E/IR21), staff engagement, and ad-hoc tasks for the People Team and manager.

Analyze and interrogate revenue performance to identify underlying drivers, pressure-test forecasts, refine commercial assumptions, conduct deep-dives, build business models (pricing elasticity, market entry), guide forecasting/budgeting, and create automated revenue reporting using data warehouse and billing datasets.

Design, automate, and scale resilient infrastructure and CI/CD pipelines; build reusable frameworks and abstractions; automate platform operations; improve observability and security; partner with engineering teams to evolve internal developer platforms and enhance developer productivity.

Lead commercial enablement across SDRs, Sales Execs and Account Managers globally. Define sales methodology, diagnose funnel issues with data, embed AI-driven coaching, design onboarding and ramp, run commercial launches, own playbooks and content architecture, and partner with managers and revenue ops to drive measurable revenue impact.

Lead revenue forecasting, planning, and RevOps analytics. Build dynamic models for bookings, churn, capacity, quotas, and territory design. Create Power BI/Salesforce reporting, run win/loss analysis, support AOP and GTM investment decisions, and enable data-driven commercial strategy.

Lead cloud cost visibility, tagging, allocation and showback. Drive commitment strategy (RIs, Savings Plans), build FinOps dashboards and tooling, improve forecasting and budgeting, identify waste and rightsizing, define cloud efficiency KPIs, investigate anomalies, and collaborate with engineering and finance to embed cost-aware decision-making.

Lead revenue forecasting, planning, and commercial analytics. Build and maintain dynamic revenue and capacity models, Power BI/Salesforce dashboards, and executive reporting. Partner with Sales, CS, and Finance on quota, territory, and AOP inputs, run win/loss analysis, and use automation/AI to scale RevOps insights.

Lead cloud cost visibility, optimisation, and governance across a multi-million-euro cloud estate. Maintain tagging and allocation, drive commitment/discount strategy, build FinOps reporting and dashboards, improve forecasting and budgeting, identify waste and rightsizing opportunities, define cloud efficiency KPIs, and investigate cost anomalies while partnering with engineering and finance.

Lead design and ownership of large-scale data pipelines and ETL using Spark and AWS, build backend APIs/microservices, ensure data quality and monitoring, manage infrastructure with Terraform and CI/CD, mentor engineers, and deliver analytics dashboards and performant query solutions for advertising insights.

The Senior People Advisor oversees HR operations, manages employee relations, compliance, payroll, and supports talent development while ensuring alignment with company culture and values.

Lead local HR operations including employee relations, onboarding/offboarding, payroll and benefits administration, compliance with North America employment laws, local implementation of global people initiatives, coaching leaders, performance management, L&D, DEI, engagement, and mobility/immigration support.