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Urgent! Data Analyst for NDA iGaming Company Job Opening In Kraków – Now Hiring Confidential

Data Analyst for NDA iGaming Company



Job description

Main verticals: iGaming, Affiliate Marketing, Online Dating, FinTech, Apps

Expertise: Affiliate, Media Buy, Product/Project, Sales / Bizdev, Finance, Operations, Payment, Web development, iOS & Android

  • 160+ candidates placed each year
  • 33 countries covered
  • 120+ satisfied clients
  • 13+ years in business
  • <8% replacement rate


Our client is an international online gaming company offering sports betting and casino services, with a significant presence in Latin America.

Strategic focus is to deliver a high-quality, personalized gaming experience, leveraging advanced technology and localized services to cater to the preferences of the different Latin American players.

Develop and launch own Casino Games, as well as operate own CRM, CS and Back-office platforms.
Perfect for those who aim to:

  • Create and manage dashboards and reports to support decision-making;

  • Analyze marketing data to assess traffic effectiveness;

  • Provide data discovery and interpret trends or patterns in complex data sets;

  • Collaborate with various stakeholders to identify key business metrics, perform KPIs monitoring and analysis;

  • Manage BI processes from inception to completion (hypothesis testing, business planning etc.);

  • Ensure compliance with data governance and security policies;

  • Be responsible for preparing and presenting reports to senior management;

  • Support ad-hoc reporting and analysis requests.

Experience you’ll need to bring:

  • At least 3+ years of experience in analytics with strong data visualization skills;

  • Proven experience with BI tools such as Tableau or Power BI;

  • Knowledge of analytical events tracking approaches;

  • Understanding of data warehousing concepts and technologies;

  • Knowledge of SQL and database management;

  • Proficiency in Python or SAS is desirable;

  • High proficiency in reporting, analysis, and optimization;

  • Predictive analytics;

  • Experiences with ML/AI tools, models and agents.

It's a perfect match if you have those personal features:

  • Desire to learn staying up-to-date with industry trends and technologies;

  • Excellent communication skills (verbal, written, and presentational);

  • Proactive and result-oriented mindset.


Required Skill Profession

Mathematical Science Occupations



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