Data Analyst (Payments)
The Payments domain is experiencing significant growth, expanding across debit products, credit products, and cross-border payments. At the same time, the scope of work continues to increase in mobile analytics - including transaction feed analytics, merchant naming standardization, and icon mapping.
To support this scale and ensure stable delivery with high analytical standards, we are looking for a Mid-Level Data Analyst to join the Payments team.
- Own mobile analytics end-to-end — requirements, monitoring, funnel/drop-off analysis, research, and documentation.
- Take full ownership of Transaction Feed analytics — merchant naming standardization, transaction categorization, and icon mapping logic for the Salmon App.
- Develop and maintain dashboards and reporting for Payments products (debit, credit, cross-border payments).
- Monitor key payment metrics, identify trends, gaps, and opportunities for improvement.
- Partner with product and engineering teams to define and validate tracking requirements for mobile and web.
- Support forecasting and financial reporting for credit products and bills payments streams.
- Deliver self-serve analytics and clear stakeholder presentations.
- Support analytical needs for new initiatives and ad-hoc deep-dive analyses.
- 2+ years of experience in data analytics, preferably in fintech or payments.
- Strong SQL skills and hands-on experience with BI tools (Tableau, or similar).
- Understanding of analytics instrumentation and event-based data structures (mobile/web).
- Experience with mobile analytics - funnels, drop-off analysis, user behavior tracking.
- Familiarity with transaction data - payment flows, categorization, data quality issues.
- Ability to translate business questions into analytical frameworks and actionable insights.
- Good communication skills; comfortable working cross-functionally and presenting data clearly.
- Experience with Amplitude or similar product analytics tools is a plus - especially for mobile funnel analysis and event tracking.
- Exposure to forecasting or financial reporting is a plus.
- Experience in a fast-paced startup or high-growth product environment is a plus.
