Data Analyst

Talentgrator — Prague, CZ — inconnu

What our tracking knows about this posting

Published on 2 September 2026 · first appeared in our records on 2 September 2026.

Stable posting: first seen on 2 September 2026, with no abnormal reposting.

This posting shows no salary — 0% of open data postings in CZ do.

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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. • 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.