Data Analyst - We believe that great careers and thriving teams grow through meaningful connections, and we’re here to match you with opportunities that fuel ambition and roles that unlock your talent. We know iGaming inside out and use that know-how to help talented professionals find their place in the game, where drive, innovation, and ambition meet in a perfect match.
Our client, Growe, is a leading business advisory and services group in iGaming and Entertainment. Сreators of strategies that wrk and solutions that scale. Combining strategic vision with hands-on expertise, Growe helps businesses navigate the fast-evolving industry, seize new opportunities, enter new markets, and achieve sustainable growth.
Perfect for those who aim to:
Design, develop, and maintain data models and transformations using DBT;
Build and optimize datasets in AWS Athena, Redshift;
Collaborate with Data Engineers and BI Developers to ensure consistency and reusability of data sources across the company;
Implement data quality tests, documentation, and lineage to maintain trust in data;
Partner with business stakeholders to translate analytical requirements into scalable data solutions;
Contribute to the standardization of metrics and definitions across dashboards and reports;
Support Tableau/Analytics teams in performance tuning, source validation, and model optimization;
Participate in code reviews, CI/CD, and continuous improvement of the data stack.
Experience you’ll need to bring:
2,5+ years of experience as an Analytics Engineer, Data Engineer, Data/Product Analyst, or BI Developer in a modern data stack environment;
Strong SQL skills (analytical queries, CTEs, window functions, optimization);
Experience with dbt (sources, models, tests, macros, documentation);
Good understanding of data modeling principles (star schema, incremental builds, staging layers);
Familiarity with Airflow DAGs, scheduling, and dependencies;
Experience with version control (Git) and collaborative development;
Strong problem-solving mindset, attention to detail, and a passion for building clean, maintainable data systems;
English – intermediate or higher (able to communicate in technical discussions);
At least an Intermediate level of the Ukrainian language.
It's a perfect match if you have those personal features:
Problem-solving skills;
Attention to detail;
Passion for building clean, maintainable data systems.