Data Analyst

• Develop and maintain automated business intelligence reports and dashboards for management, compliance, and regulatory reporting.
• Prepare regular and ad-hoc reports for management, compliance team, regulatory submissions, and audits.
• Conduct data quality assessment to ensure data accuracy and integrity, implement data governance best practices.
• Collaborate with trading, marketing, and product teams to support pricing strategy analysis and spread optimization initiatives, and to optimize allover business strategies.
• Monitor key performance indicators (KPIs) including client acquisition, retention, lifetime value, and trading volumes.
• Create comprehensive analysis of client trading patterns, risk metrics, and profitability analysis.
• Perform client segmentation analysis to support targeted marketing campaigns and product development.
• Work with IT teams to optimize database performance and data architecture.

• Education background in Data Science, Mathematics, Statistics, Engineering, Computer Science, or related quantitative field is preferred.
• 2+ years of hands-on experience as a Data Analyst, BI Developer, or similar role in financial services, preferably in a CySEC or similar EU-regulated CFD/Forex brokers or investment firms.
• Strong understanding of CFD products, financial markets, and trading mechanics.
• Advanced proficiency in SQL for complex data querying and database management.
• Expert-level skills in data visualization tools (Tableau, Power BI, or similar).
• Experience with data warehousing concepts and ETL processes.
• Project management capabilities, including requirements gathering and solution implementation.
• A proactive mindset with strong analytical and problem-solving abilities with attention to detail.
• Excellent written and verbal communication skills in English.
• Collaborative team player with ability to work across departments.

• Experience with statistical analysis and hypothesis testing.
• Knowledge of machine learning concepts and applications for client segmentation, anomaly detection, and predictive forecasting.
• Proficiency in at least one programming language (Python, R) for data manipulation and analysis.
• Experience in conducting competitive research and analyzing benchmarking data.
• Knowledge of data protection regulations relevant to financial services.
• Experience in establishing data standards and governance policies.
• Familiarity with Agile development methodology and DataOps principles and best practices.

• Be part of a dynamic and multi-cultural team.
• Career growth opportunities with global offices.
• Attractive salary.
• Performance-based bonus.
• Private medical insurance.
• Fitness membership allowance.
• Birthday Leave.
• Work from Home Policy.
• Weekly Lunch.

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