data analyst in payments

payabl. provides businesses with global payments and multi-currency accounts through its financial services platform, payabl.one.

• Investigate payment performance questions end to end, explain approval rate drops and anomalies across gateways, issuers, and merchants
• Prepare and validate datasets for analysis, including filtering and handling missing values
• Apply statistical techniques to identify patterns, relationships, and trends and assess whether changes are real or noise
• Build and maintain Superset dashboards and Druid data cubes used by stakeholders
• Prepare accurate, traceable, and timely recurring reports for internal stakeholders and regulatory and scheme reporting requirements
• Automate recurring analysis and reporting
• Present evidence-based insights and recommendations clearly to stakeholders
• Partner with other departments to understand data needs and translate open-ended business questions into answerable analytical questions

• Strong SQL skills, including window functions, CTEs, aggregation logic, and query performance reasoning on large datasets
• Python for analysis, including pandas, a visualization library such as Matplotlib, Plotly, or Seaborn, and SciPy or an equivalent for statistical work
• Experience with relational and analytical databases, including PostgreSQL
• Experience building dashboards in a BI tool
• Comfort working in notebooks such as JupyterHub or Jupyter for exploratory analysis and reporting
• Comfort with Git-based workflows, including version control, merge requests, and code review
• Ability to automate data reports efficiently and accurately
• Excellent communication skills and ability to present clear, actionable analysis to audiences including senior decision makers
• Ownership and end-to-end responsibility
• Будет плюсом: Experience in fintech or payments and understanding of transactional data such as chargebacks, fees, interchange, acquiring, and settlement; regulatory or scheme reporting experience (card schemes, PSD2, AML, or similar); dbt; basic Apache Airflow knowledge; scheduling and automated report generation; event tracking, product events, and product analytics tools; practical use of AI tools in analytical work; machine learning applied to forecasting, anomaly detection, segmentation, fraud, or risk scoring

• Employment contract in Limassol, Cyprus, or service contract for remote work from Europe
• Benefits listed apply to the Cyprus office only; benefits and contract type depend on location and will be discussed in the first interview
• Provident Fund after probation
• Annual learning budget after probation
• €150 Monthly Wolt allowance
• SportsBenefits membership
• Possible company car after one year, subject to performance and availability
• Complimentary office parking
• 25 Days of vacation, public holidays, and 10 additional sick days
• Local discount card and event tickets
• Free Greek language classes twice a week
• International company events and initiatives
• A role-specific technical assessment may include a written exercise, case study, or task to be completed within a specified timeframe