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👽Other

BI Data Analyst

Hfeu · Larnaca, Larnaca, Cyprus
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Larnaca, Larnaca, Cyprus
languages
go, python, sql
tools
> stack
gopythonsql
> description
HFM is an internationally acclaimed multi-asset broker, delivering cutting-edge trading tools, platforms, and conditions to traders worldwide. We are committed to innovation, transparency, and excellence in the financial markets. As we continue to expand, we are seeking a driven and strategic Business Intelligence Data Analyst to join our team. The BI Data Analyst plays a key role in connecting business needs with data-driven insights. This position involves developing a strong understanding of how data flows across systems, from its source to its transformation into meaningful information. A main responsibility is to ensure data accuracy, interpret trends, and provide actionable insights that support decision-making across the organization. The analyst is expected to go beyond standard reporting by identifying opportunities to improve efficiency, optimize performance, and support business growth. Your role at HFM: 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, ensuring clarity and usability. 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. Requirements 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. Considered a Plus Knowledge of trading platforms and understanding of 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 working 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. Benefits Hybrid Work Model (2 days working from home) Monthly Wolt Vouchers Comprehensive Health & Life Insurance Provident Fund (Upon completion of the trial period) Summer Short Fridays (August) Additional Paid Annual Leave (up to 30 days, based on years of service) Birthday Leave Training & Education Allowance Udemy Business access Gym Membership Referral Bonus Program Additional Support Visa Sponsorship and Relocation Assistance Ready to Kick Off an Exceptional Career? Join HFM and shape your future with a company that values growth, innovation and people. Sounds like you? Let’s write the next chapter together. All Applications will be handled with the strictest confidentiality.