Senior BI Analyst

Join FxPro : a leading international fintech company. Be a part of our expanding international team, with offices in Limassol, London, Nassau, Dubai, and Yerevan. FxPro boasts a diverse workforce of over 600 employees representing 50 nationalities, making it an exciting and dynamic workplace. At FxPro , we see each team member as an integral part of our success story.

We are looking for a Senior BI Analyst with strong Power BI expertise and a solid background in banking or financial services analytics. You will analyse data to help improve business performance. You will provide insights and feedback to the growth team and management.

Responsibilities

• Design, develop, and maintain end-to-end Power BI solutions: data models, DAX measures, dashboards.
• Talk to stakeholders (finance, operations, product) to understand what they need and turn that into analytics solutions
• Design clean, well-structured data models that are easy to scale and maintain
• Write DAX calculations for financial reports: P&L, cash flow, balance sheets, cohort analysis, and financial ratios
• Work with data engineers to make sure data coming from source systems is accurate and well-organized
• Create reports and present findings to stakeholders in a clear, actionable way
• Spot inefficiencies in processes and suggest improvements
• Analyse the user journey and find areas where the product can be improved

Requirements

• Bachelor’s or Master’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field
• Proven experience in data analysis and statistical modeling
• Proficiency in SQL (at least at a basic level)
• Hands-on experience with Power BI at a Data Analyst level, including ETL processes, DAX and M language, data modelling, creating effective data visualizations and dashboards

Nice to Have

• Microsoft certifications: PL-300 / DP-600
• Exposure to Tabular Editor, DAX Studio
• Experience with core banking systems or accounting/ERP platforms
• Experience implementing CI/CD for Power BI assets.

Soft Skills

• Can explain complex data in simple terms to non-technical audiences
• Collaborative - comfortable working across different teams
• Detail-oriented and takes data quality seriously
• Proactive in finding problems and suggesting solutions