Описание

Sportradar is a sports technology company operating at the intersection of sports, media, and betting. Its technology and expertise support more than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries.

Задачи

- Analyze stakeholder requirements and opportunities to improve business decisions and operational efficiency through data analytics
- Deliver data analytics and reporting solutions using commercial, operational, and business data
- Develop data models for reporting and analytics
- Develop and deploy data visualizations and reports for management and internal business partners
- Present ideas and solutions clearly to business and technical stakeholders
- Document requirements and follow data governance protocols
- Support the design and development of scalable, reliable, and secure data warehousing architectures and data integration and processing pipelines
- Train and empower business users to use business intelligence tools and analytics solutions
- Propose innovative ways to use data to improve product and service monetization, acquire new sports rights, and analyze commercial strategies
- Co-create and deliver a business intelligence roadmap with business and technical stakeholders across the Sportradar group




- Create and maintain technical documentation for BI tools
- Design, create, and implement the reporting layer
- Improve and expand existing reporting interfaces

Требования

- Demonstrated technical expertise in business intelligence tools, dashboard and reporting application development, databases, data modelling, and ETL processes
- Hands-on experience developing software or analytics solutions
- At least 3 years of experience in data management and/or business intelligence projects
- Proficiency with relational databases and advanced SQL knowledge
- Experience with BI tools such as Qlik Sense/Qlik View, Tableau, Power BI, or equivalent
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field; equivalent experience is acceptable
- Fluent English, written and spoken
- Autonomous, rigorous, creative, and a team player
- Nice to have: experience with Microsoft SQL Server, Amazon Redshift, and/or Amazon Athena, predictive analytics, statistical modelling, or machine learning

Условия

- Competitive salary and perks
- Investment in continued professional development
- International team collaboration with colleagues from around the world

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📌 data analyst in sports technology (Melbourne)
🏢 Enfint
📍 Melbourne