Sports Betting Business Analyst ​​​​​​​
Athens, Attica, Greece
πριν από 5 μέρες

So what’s the challenge

The Sports Betting Data Analyst plays a crucial role in the day-to-day operations of the Sports Business Analytics Team.

Working closely with various stakeholders of the Sports Team, the role develops automated and accurate predictive and prescriptive analytics models that support and drive the Sport Team’s tactical, operational and long-term business decisions.

Your day to day will include :

  • Conducting analyses that contribute to the day-to-day offering and operations of Pame Stoixima product
  • Developing and analyzing KPIs for the performance of the product
  • Maintaining and revising existing reports and preparing analyses for business stakeholders
  • Recommending actions by analyzing, comparing and interpreting data to support business objectives
  • Developing technical specifications for Sports Betting systems, data-marts and reports
  • Creating and maintaining scalable and re-usable data preparation, data quality, validation and aggregation routines
  • Developing, implementing and integrating with automated reports predictive models and machine learning routines to predict future turnover, to estimate odds accurately and to monitor product performance
  • Developing and implementing simulation tools that model the inter-relationship between different parameters in the operation of the team and alternative configuration of product-related initiatives
  • Leveraging the predictive models to optimize the configuration of product related initiatives and bets’ pricing schemes as well as personalized offers to customers
  • What you need to succeed :

  • MSc in Data Science, Statistics, Applied Mathematics, or other related field with strong quantitative focus and / or PhD in a relevant quantitative subject will be considered a plus
  • Programming Experience : At least 2 years in any language
  • 4-8 years of working experience in a similar role. Gaming industry experience will be considered a strong asset
  • Solid experience in data modeling and management and in integration and manipulation of large disparate datasets (i.e. structured, semi-structured or unstructured)
  • Extensive experience in predictive modeling and optimization using statistical and Machine Learning techniques
  • Strong knowledge in R, Python, SQL, Tableau, SPSS Modeler
  • Experience in designing, building, testing and validating models using a large number of statistical and other quantitative techniques
  • Experience in advanced data visualization tools, such as Tableau, Spotfire, Qlikview
  • Familiarity with common SaaS tools and BI platforms (, Mixpanel / Heap, Tableau / Looker, etc.) and ETL processes to support data integrations between those platforms
  • Excellent analytical and problem-solving skills
  • Effective organizational and time management skills
  • Strong interpersonal skills and team spirit
  • Excellent communication skills in both Greek and English languages (written and verbal)
  • Proficient user of MS Office applications
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