Data Analyst (Payments)

Team: Payments
Location: Kazakhstan
Employment type: FullTime

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.

RESPONSIBILITIES:

• 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.

REQUIREMENTS:

• 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.