We are looking for a hands-on Data Analyst to join our Live Data Product Unit at Sportradar who will turn sports, performance and business data into useful insights and inform business decisions. Your key responsibility will be ensuring that Sportradar’s globally delivered Live Data Product services consistently meet or exceed customer expectations and Service Level Agreements, i.e. around speed, accuracy, consistency, richness & relevance of sports data.Among others, you will play a pivotal role in implementing and continuously evolving a KPI framework across 30+ sports, inspecting at various stages in production and writing reports on findings with actionable insights. You will proactively analyse, evaluate and steer Live Data Product Performance so that Live Data Product continuously improves its measurability and standards against the competition.You will also help to predict and measure the impact of key product development deliveries. In this case the role would interact with business data.
responsibilities :
Get a deep understanding of the data and demonstrate critical thinking when organizing data
Develop, analyse and evolve Live Data Product KPIs in collaboration with internal and external stakeholders
Assess the validity of source data and subsequent findings
Create useful insights and trending data for informed business decisions
Predict and measure impact of business decisions
Provide actionable recommendations to continuously improve the product metrics and its cost efficiency
Develop data standards, policies, and procedures
Analyse and define data requirements and specifications
Visualise your findings and present reports to stakeholders
requirements-expected :
Strong analytical skills with experience in KPI development and tracking across diverse data sets
Excellent communication and coordination abilities for both internal and external stakeholders
A detail-oriented and collaborative mindset with a passion for delivering top-tier data services across the sports industry
Efficient in using outlier identification and removal techniques
Ability to identify hidden patterns or relationships
Proficient in data analysis tools such as
Excel to analyse smaller data sets
Tableau Desktop or Power BI to visualise data
SQL to interact with database
Considered a plus: Python or R language to build models for predictions
offered :
Join a NASDAQ-listed company and become part of one of the fastest growing businesses in the digital sports environment
Be part of a highly motivated, innovative, and international team
Have a real impact guiding the evolution of an in-house built product
Exciting job field with the opportunity for personal development
Great working culture based on trust and honesty, with a flat management structure
