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Data Analyst – Senior

Work from home Full-time role Hiring

Overview: You’ll work on transforming large-scale product and player data into meaningful insights that guide strategic decisions across our iGaming solutions. Your analysis will support product optimisation, operational efficiency, and data-driven growth across the business. Purpose of the role: You’ll transform complex product, platform, and player data into clear insights that drive strategic decisions and measurable business outcomes. Your work will improve the accuracy, accessibility, and impact of analytics across teams, enabling smarter product optimisation, stronger performance tracking, and more data-driven growth initiatives. Key responsibilities: Development and maintenance of dashboards and reports for various company departments Collaboration with other teams to identify analytical needs and provide actionable insights User behavior analysis to generate insights Work with key company metrics: monitoring, analyzing changes, identifying causal relationships, combining this with pattern and anomaly analysis for deeper insights Performing ad-hoc analytical tasks at stakeholders’ requests Self-directed insights extraction from data Required Experience: At least 2 years of experience in an analytical role English proficiency at B2+ level (Upper Intermediate or higher) Russian - native-level proficiency Willingness to actively collaborate with an international team Technical Skills: Strong skills in writing and optimizing SQL queries for working with large datasets Proficiency in Python for data analysis (pandas, numpy, seaborn, plotly, stats) Experience with data visualization tools such as Tableau (preferred), Power BI, or similar platforms Understanding of basic statistics and probability theory Experience with Jira and Confluence for task and documentation management Soft Skills: Strong communication skills, ability to effectively interact with stakeholders at different levels Ability to dive deep into subject areas to understand business processes Proactivity and a desire to grow Nice to have: Experience with ClickHouse Knowledge of Apache Superset Basic command-line skills Our Benefits: Full-time remote work opportunities and flexible working hours Private insurance Additional 1 Day Off per calendar year Sports benefit Comprehensive Mental Health Programme Free online English lessons with a native speaker Generous referral program Training, internal workshops, and participation in international professional conferences and corporate events.

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