Data Analyst

Our client is a leading slot games provider in the online gambling industry, headquartered in Prague. The company is recognized for creating innovative, high-quality games with engaging mechanics and immersive design, enjoyed by players worldwide. With a strong international presence across Prague, Malta, and Latin America, they continue to set benchmarks in the iGaming market.

Requirements

• 2+ years of experience in Data Analytics / BI / Business Intelligence.
• Strong SQL skills and experience working with databases and large datasets.
• Hands-on experience with Power BI, including dashboards, reports, data visualization, and data models.
• Good knowledge of DAX and experience creating measures and calculated metrics.
• Experience with Python for data processing and automation.
• Strong understanding of data collection, cleaning, transformation, and validation.
• Ability to analyze business metrics, identify trends, anomalies, and growth opportunities.
• Experience handling ad-hoc analytical requests from business teams.
• Ability to translate business requirements into analytical and BI solutions.
• Strong analytical and problem-solving skills.
• Experience in reporting automation and optimization of analytical processes.
• Ability to create clear, user-friendly dashboards for different stakeholder levels, including C-level.
• Good communication skills and ability to work closely with business and technical teams.
• Experience in iGaming or a similar data-driven industry would be a strong advantage.

Responsibilities:

• Collection, cleaning, transformation, and validation of data from internal databases and BI systems.
• Development and support of reports, dashboards, and analytical solutions in Power BI.
• Writing SQL queries and using Python for automation and data processing tasks.
• Development and support of DAX measures, calculated metrics, and data models.
• Processing ad-hoc analytical requests from business teams (AM, TL, Sales, Marketing, etc.).
• Analysis of business metrics, identification of anomalies, trends, and growth opportunities.
• Participation in automation and optimization of internal reporting and analytical processes.
• Translating business requirements into analytical and BI solutions
• Designing user-friendly dashboards and data visualizations for different stakeholder levels (AM, TL, C-level).
• Participation in the development of the analytics infrastructure and data-driven decision-making processes.

Benefits

• Full-time employment
• Opportunity to build a career in a fast-growing international IT company
• Cool office with a friendly international team
• Corporate events and team-building activities
• Multisport card after probation period