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