25 Sep
|
Enfint
|
Melbourne
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 cutting-edge 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 benefits
Investment in continued professional development
International team collaboration with colleagues from around the world
#J-*****-Ljbffr
📌 Data Analyst In Sports Technology (Melbourne)
🏢 Enfint
📍 Melbourne