data analyst in fintech

HFM is an internationally acclaimed multi-asset broker that delivers trading tools, platforms, and trading conditions to traders worldwide. The company focuses on innovation, transparency, and excellence in financial markets.

• Clean, process, and analyse large datasets using SQL and Python to support reporting, analytics, and machine learning initiatives;
• Perform exploratory data analysis to identify trends, patterns, and key metrics;
• Translate analytical findings into actionable insights for business stakeholders, collaborating with data scientists, analysts, and other teams to support strategic decisions;
• Design, develop, and maintain BI dashboards, reports, and DAX calculations in Power BI and SSAS;
• Document data flows and processes to ensure accurate and timely integration;
• Create and maintain technical documentation for BI models, queries, and data processes;
• Support business users by providing guidance and training on BI tools, dashboards, and best practices for data-driven decision-making;
• Provide data-driven recommendations to improve efficiency, optimize performance, and support business decisions;
• Follow data governance policies, ensuring compliance with access, security, and privacy protocols.

• University degree in Computer Science, Data Science, Finance, Mathematics, or a related field;
• Experience in financial services or brokerage environments;
• Proficiency in SQL and understanding of data modelling concepts;
• Experience with data warehousing and ETL processes;
• Proficiency in Power BI for creating dashboards, reports, and visualisations;
• Working knowledge of DAX for business calculations, measures, and KPIs;
• Experience with SQL Server Analysis Services (SSAS) for OLAP modelling;
• Strong problem-solving and analytical skills;
• Effective communication and collaboration abilities;
• Excellent command of English language;
• Applicants must be eligible or have legal authorization to work in the country where the position is based;
• Nice to have: knowledge of trading platforms and trade lifecycle and order execution processes, familiarity with MetaTrader (MT4/MT5) platforms and related data structures, understanding of CFD trading mechanics including margin leverage and risk management, experience with real-time trading data and event-driven analytics, ability to interpret trading performance metrics and generate actionable insights, awareness of regulatory requirements and compliance considerations, familiarity with Python for data analysis and machine learning, exposure to data science projects related to trading behaviour analysis, knowledge of cloud-based data solutions such as Microsoft Fabric.

• Hybrid work model with 2 days working from home;
• Monthly Wolt Vouchers;
• Comprehensive Health & Life Insurance;
• Provident Fund upon completion of the trial period;
• Summer Short Fridays in August;
• Additional paid annual leave of up to 30 days based on years of service;
• Birthday Leave;
• Training & Education Allowance;
• Udemy Business access;
• Gym Membership;
• Referral Bonus Program;
• Visa Sponsorship and Relocation Assistance.