Senior Data Analyst

Remote | Full-time

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Betsoft Gaming is looking for a Data Analyst who understands why games succeed in a global market. In this Senior Analyst role you will partner closely with colleagues across many departments, but mostly joining and bridging between the Product and Marketing teams. A key aspect of the role is to perform analysis that drives data-informed decision making.

The two main objectives will be to analyse the external market, gaining insights from successful competitor games to inform our own game design; and to analyse the performance of our own games, presenting the insights clearly in reports and KPI dashboards. As a third contribution, the best candidate will also be able to participate directly and input ideas into new game design.

What you’ll do:

  • Analyse products, trends and market behavior in gaming across relevant platforms
  • Conduct competitive intelligence analysis
  • Define market requirements and inform product specifications
  • Investigate and understand player behavior through analysis
  • Present key insights to stakeholders
  • Drive new KPI metrics that help us better understand our products and players
  • Identify, analyse, and interpret trends or patterns in complex data sets
  • Locate and define new process improvement opportunities
  • Build anomaly detection systems for detecting fraud or erroneous data
  • Provide ad hoc reporting as necessary

What we seek:

  • Bachelor’s or higher degree in a relevant field
  • Proven working experience as a Data Analyst, Data Scientist, or Business Data Analyst
  • Knowledge of the gambling industry and basic game design principles
  • Ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Strong analytical skills coupled with the ability to form hypotheses and draw meaningful insights from disparate data sources
  • Strong creative/innovative side as well as grounded analytical approach
  • Superior problem solving and organization skills
  • Excellent written, oral communication, project management and presentation skills
  • Ability to clearly articulate and present insights and recommendations (not just data) to team members and management – both technical and non-technical audiences
  • Adept at queries, report writing, and tools like SQL, Excel and Tableau
  • Familiarity with mathematical models
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Ability to thrive in a fast-paced, deadline-driven environment.
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