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Why this role matters As a Data Analyst within the fintech product department, you will deliver actionable insights, analytical solutions, and data-driven intelligence that empower strategic decision-making across core business operations and financial services. You will serve as the analytical backbone of the team, transforming complex datasets into meaningful visualizations, developing robust reporting frameworks, and ensuring that insights are delivered with accuracy, timeliness. Your work will directly support Product improvements, risk assessment, A/B testing initiatives, and operational performance optimization, while maintaining data integrity and compliance standards critical to fintech operations. The role is based in Limassol, Cyprus. In case of relocation, we offer full relocation support for you and your family to make your move smooth and worry-free. What you'll actually do The Data Analyst is accountable for extracting, analyzing, and interpreting complex datasets to deliver actionable insights that drive business strategy and operational improvements. This includes building reports, performing trend analysis, and translating data into clear recommendations for leadership and stakeholders The Data Analyst drives experimentation frameworks by designing, executing, and analyzing A/B tests to optimize user experience, conversion rates, and product features. This includes defining success metrics, statistical validation, and presenting findings to product and marketing teams The Data Analyst serves as a bridge between technical data infrastructure and business units, translating complex analytical findings into compelling narratives and visualizations that enable data-driven decision-making across departments The Data Analyst is accountable for tracking and analyzing operational performance across partnership programs, and customer journeys. This includes identifying inefficiencies, measuring campaign effectiveness, and providing insights that improve business outcomes and customer satisfaction The Data Analyst owns the validation of his objects, ensuring that all analytical outputs are accurate, reliable, and audit-ready. This includes identifying anomalies, resolving data inconsistencies, and maintaining documentation Explore and implement AI use cases that improve analytical efficiency and stakeholder support. Build AI-assisted workflows for recurring analysis, reporting, and documentation tasks. Evaluate and monitor the quality of AI outputs and define appropriate validation checks. Collaborate with cross-functional teams to embed AI into existing analytics processes. Document best practices and help scale AI adoption within the data team  Who we’re looking for Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3+ years of hands-on experience in data analysis or a related field. Experience working in Agile environments or collaborating with development teams is a plus. Strong proficiency in SQL, including experience with analytical databases (Vertica, PostgreSQL, ClickHouse). Good Python skills for data analysis and integration with APIs or AI services. Strong understanding of statistical analysis, including descriptive statistics, hypothesis testing, confidence intervals, statistical significance, and experiment evaluation. Ability to build simple machine learning models (e.g., classifiers, scoring models, logistic regression, tree-based models) for analytical and operational use cases. Ability to perform exploratory data analysis (EDA) and draw actionable insights from complex datasets Hands-on experience using LLM-based tools in analytical or business workflows. Ability to design effective prompts and structured inputs for repeatable business tasks. Experience validating AI-generated outputs for accuracy, consistency, and business relevance. Understanding of responsible AI principles, including p