Data Analyst

Sofia City, Bulgaria / Limassol, Cyprus / Warsaw, Poland

We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.

We are seeking a Data Analyst to join our Financial Analytics team developing and maintaining data pipelines, transformation logic, and data quality checks in a complex multi-jurisdiction financial data platform (PostgreSQL DWH + Airflow orchestration). 

Responsibilities

• Implement enhancements and changes to existing reporting processes to improve accuracy, performance, and usability

• Design and develop new reporting pipelines and datasets aligned with business requirements

• Automate of data delivery processes

• Identy and implementation of automated data quality checks

• Resolve of issues related to data quality

• Collaboorate with business stakeholders to gather reporting requirements, clarify logic, and ensure outputs meet expectations

Requirements

• 4+ years in analytics engineering or similar data-focused roles

• 2+ years in fintech or relevant domains (retail FX/CFD, hedge or quant funds, prop trading firms, or financial services technology)

• Advanced PostgreSQL: stored procedures and functions, complex CTEs, window functions, SCD2 patterns, query plan analysis and optimisation

• Strong understanding of data warehouse architecture: staging, core, and data mart layers; incremental load patterns; slowly changing dimensions

• Hands-on experience with Apache Airflow: DAG authoring, scheduling, dependency management, and failure handling

• Proficiency with Git (GitLab or GitHub) and JIRA

• Practical experience implementing complex financial calculation logic in SQL (e.g., P&L, margin, equity, positions, ledger reconciliation)

• Ability to interpret regulatory or business specifications and translate them into precise, testable SQL transformation logic

• Solid domain fluency in financial and trading concepts, with the ability to understand requirements and clearly explain implemented logic to business stakeholders

• High degree of autonomy: able to reverse-engineer undocumented systems, identify root causes, and take end-to-end ownership of pipelines and calculation logic

• Comfortable using AI-assisted development tools (e.g., Claude, Copilot, Cursor) to improve productivity

Nice to have

• Experience with regulatory reporting frameworks: MiFID II, EMIR, FCA, CySEC, ASIC or equivalent

• Domain knowledge in: risk management, compliance reporting, internal accounting, spread/commission capture, margin requirements

• Tableau or equivalent BI tool — specifically experience with live datasources backed by DWH functions

• dbt familiarity

• Snowflake exposure or interest