Senior Data Analyst

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We are seeking an individual that is enthusiastic about iGaming marketing analytics, able to provide data driven insight at scale and keen on taking responsibility of driving and optimising monthly 7 digits marketing budget. Chosen candidate will be reporting to Chief Data Officer, work closely with marketing team and own marketing performance tracking process.

We do not have a large corporate structure, so you must be an able problem-solver, willing to work within a tight-knit team, and be self-motivated. Our team of industry experts will always be ready to give a hand or tip so that every opportunity to learn or improve would result in maximum growth for you and the company.

What your daily tasks will look like:

  • Calculating, analysing and forecasting customer lifetime value in different customer segments
  • Controlling customer acquisition pricing and cost of customer retention efforts
  • Creating data driven insight, guidelines and budgets for marketing initiatives
  • Analysing and ongoing tracking of spending and results across different acquisition channels and campaigns
  • Owning reporting of marketing performance KPIs, trends, forecasts and insights
  • Controlling affiliation budget by conducting on-demand and regular performance reviews of key accounts and whole portfolio
  • Working with data team on building tools for marketing performance and insight reporting automation
  • Supporting Chief Marketing Officer, Head of Affiliation and Head of Programatic with digital marketing insights and data requests

Minimum qualifications required:

  • Education in Mathematics/Economics/Statistics or similar field
  • Genuine interest in iGaming
  • Efficiency in customer lifetime value and retention analytics
  • Passion for large-size unstructured data analytics and producing insight
  • Solid experience and understanding of iGaming marketing processes
  • Experience in real-world multivariate AB testing
  • Confidence to own business processes and regular reporting to senior management
  • Strong tech skills such as SQL, Python, Google Analytics etc

Considerable advantages:

  • Mathematical modelling
  • Advanced SQL scripting
  • Open source technologies
  • Business Intelligence development
  • Data analytics with Knime

Additional information

  • Remote status

    Flexible remote

Or, know someone who would be a perfect fit? Let them know!

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