Key Duties/Responsibilities: 

• 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.

Key Skills/Experience: 

• 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.

Nice to Have: 

• 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.

Key Benefits: 

• 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.

To apply for this vacancy, please send your CV, along with any covering letter to [email protected] quoting the above job title. Please note that due to the high volumes of applications received only shortlisted applicants will be responded to. By sending us your CV you are giving CareerFinders your consent to be contacted for this and any other suitable vacancies that we believe match your skills and experience. To view our privacy policy, please click www.careerfinders.com.cy/privacy-policy.