Payments Data Analyst

Responsibilities

• Monitor, analyze, and optimize payment performance across merchants, processors, payment methods, and markets.
• Analyze 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 optimization opportunities across processors, card schemes, BINs, countries, merchants, and payment methods.
• Measure the impact of new product features, processor integrations, routing changes, payment optimization 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 prioritization, 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 optimization.

Languages

Required

• 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.

Nice to have

• 4+ years of experience as a Data Analyst, Product Analyst, Payments Analyst, or in a similar analytical role.
• Experience in FinTech, Payments, SaaS, or E-commerce.
• Experience working with product analytics, experimentation, and feature adoption metrics.
• Basic understanding of Machine Learning concepts.

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