Data Analyst

Role objective

Turn payment and fraud data into actionable insights that drive two priorities: improving payment performance (approval rates, routing, cascading) and detecting fraud and abuse across both the user and merchant levels.

You don’t need to be a payments expert on day one — if you think in data and ramp up fast, we’ll get you deep into the domain.

Responsibilities

Payment optimization

• Analyze payment performance metrics (approval rate, conversion, decline reasons, latency) to find optimization opportunities.
• Support routing and cascading decisions with data: provider/method performance, cost vs. quality trade-offs, A/B testing of payment flows.
• Build and maintain dashboards for payment, transaction, and conversion monitoring.

Fraud & abuse prevention

• Detect and analyze suspicious activity, fraud patterns, and abnormal behavior at both the user and merchant levels.
• Investigate merchant-side risks (transaction laundering, abnormal volumes, MID abuse) and user-side fraud (chargeback abuse, multi-accounting, anomalous transaction patterns).
• Define and track fraud-related metrics; flag emerging risks early.

Cross-functional

• Collaborate with Product, Payments, and Risk & Fraud teams on data requirements, insights, and prevention initiatives.
• Collect, prepare, validate, and combine data from multiple sources for analysis and reporting.

Must have

• 1+ years in any analytical role: Data, Product, BI, Risk, Fraud or Payment Analyst.
• Strong analytical thinking and attention to detail.
• Confident Excel/Google Sheets and working SQL (writing queries, joins, aggregations).
• Comfortable working with large datasets and combining data from multiple sources.
• Ability to turn data into clear insights and present them to non-technical stakeholders.
• Ability to work independently in a dynamic environment.

Will be a plus (or we’ll teach you)

• Experience analyzing payment transactions and understanding of key payment/fraud metrics.
• Experience with BI tools — Power BI, Tableau, Looker, or similar.
• Experience in iGaming or fintech.
• Basic experience using AI for data analysis or automation.
• Understanding of payment processes (routing, cascading, card, crypto, APM).

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