Senior Payments Data Analyst

Responsibilities
- Monitor, analyse, and optimise payment performance across merchants, processors, payment methods, and markets.
- Analyse approval rates, decline patterns, payment routing performance, retry and cascading effectiveness, 3DS performance, and transaction success.
- Perform deep-dive analyses to identify trends, anomalies, and optimisation opportunities across processors, card schemes, BINs, countries, merchants, and payment methods.
- Measure the impact of new product features, processor integrations, routing changes, payment optimisation initiatives, and A/B experiments.
- Build and maintain dashboards and reports that provide actionable insights for Product, Merchant Solutions, Executive, and other business teams.
- Define, monitor, and improve key product and payment KPIs.
- Investigate merchant and processor performance to identify root causes and recommend improvements.
- Collaborate with Product Managers to support product discovery, feature prioritisation, and success measurement.
- Work closely with Solution Engineers, Integration Analysts, and the ML Specialist to improve payment performance and operational efficiency.
- Support continuous monitoring of payment performance by identifying anomalies, emerging trends, and opportunities for optimisation.
- Present analytical findings and recommendations in a clear, business-oriented manner to technical and non-technical stakeholders.
Requirements
- 4+ years of experience as a Data Analyst, Product Analyst, Payments Analyst, or in a similar analytical role.
- Advanced SQL skills, including complex queries and window functions.
- Experience with BI tools such as Metabase, Tableau, Power BI, Looker, or similar.
- Experience with Python (Pandas, Jupyter Notebook) for data analysis.
- Strong analytical thinking and problem-solving skills.
- Experience working with large datasets.
- Ability to translate complex data into clear business recommendations.
Nice to Have
- Experience in FinTech, Payments, SaaS, or E-commerce.
- Understanding of payment processing, payment orchestration, or PSP integrations.
- Knowledge of payment routing, retries, cascading, and 3DS authentication.
- Familiarity with payment KPIs such as approval rate, conversion rate, authorisation rate, and decline analysis.
- Understanding of fraud-related metrics, chargebacks, RDR, and risk signals.
- Experience working with product analytics, experimentation, and feature adoption metrics.
- Basic understanding of Machine Learning concepts.
Conditions
- Full remote work.
- Competitive compensation with a service contract.
- Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
- An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most.
- Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage.
- Career growth in a fast-scaling project with opportunities to influence technical decisions.
- A culture of recognition: our peer reward program celebrates contributions from across the team.
This opportunity is also available for those who already live in Limassol, Cyprus.
- EU-based employment contract and a 3-year Cyprus work visa.
- Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
- 50% coverage of school and kindergarten fees for your children.
- Fully covered sports benefits, and also access to in-house electric scooters and bike rentals.
- A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
- Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
Recruitment process
- HR interview (40 min);
- Technical interview (1 hour);
- Final interview (1 hour);
- Recommendations check;
- Job Offer.