
Data Analyst
- Λεμεσός
- Μόνιμη
- Πλήρης Απασχόληση
- 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
- 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
- Education background in Data Science, Mathematics, Statistics, Engineering, Computer Science or related quantitative field is preferred
- 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
- Below Advanced Analytics Skills are considered as a plus:
- 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
- Competitive salary
- Performance-based bonus
- Private medical insurance
- Education subsidy & full-paid Study Leave
- Fitness membership allowance
- 21 days of annual leave increasing every year
- Birthday Leave
- Sick Leaves
- Work from Home Policy
- Weekly Lunch