Payments Data Analyst — Remote, Data-Driven Impact

Mayflower

United States

Remote

USD 67,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Remote work

Home office allowance

Language courses and mindfulness/psych

Private medical insurance

Job summary

Mayflower is seeking a Payments Data Analyst to join our Product team. You will transform payment and product data into actionable insights to improve merchant success, platform performance, and business decisions.

You will partner with Product, Merchant Solutions, Processor Integrations, and ML teams to analyze performance, identify optimization opportunities, and drive data-informed decisions across our payment platform. Remote-ready with Cypriot/European considerations.

Qualifications

4+ years of experience as a Data Analyst, Product Analyst, Payments Analyst, or similar.
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.

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 with Solution Engineers, Integration Analysts, and ML Specialist to improve payment performance and operational efficiency.
Support continuous monitoring of payment performance by identifying anomalies, trends, and opportunities for optimization.
Present analytical findings and recommendations to stakeholders.