Data Analyst - Payments Domain

About Salmon Group Ltd

Salmon Group Ltd is a technology-driven financial company focused on building a banking and lending platform across Southeast Asia, starting with the Philippines. The platform boasts over 7 million app downloads, 2 million monthly active users, more than 7000 partner stores, and has raised over US$350 million from leading investors. Joining their team means embracing autonomy from day one, working with high standards, and engaging in direct communication alongside experts experienced in scaling regulated financial services from the ground up.

Role Overview

The Payments domain within Salmon is rapidly expanding across debit, credit, and cross-border transactions. As a Data Analyst, you will spearhead the analytics efforts crucial to maintaining stable delivery and enabling data-driven decisions that impact millions of users.

Key Responsibilities

• Collaborate with product and engineering teams to define and verify tracking requirements related to mobile app interfaces and transaction feeds.
• Support analytics efforts for new initiatives such as the Daily Banking launch and perform comprehensive, on-demand analyses.
• Manage mobile analytics end-to-end, including gathering requirements, monitoring metrics, conducting funnel and drop-off analyses, research, and documentation.
• Handle Transaction Feed analytics for the Salmon App, covering merchant name standardization, transaction categorization, and icon mapping logic.
• Create and maintain dashboards, reports, and self-service analytics tools for payments products covering debit, credit, and cross-border transactions.
• Track key payment metrics to discern trends, detect gaps, and identify opportunities to enhance performance.
• Assist in forecasting and financial reporting related to credit products and bill payment processes.
• Deliver clear, persuasive presentations to stakeholders that translate analytical insights into actionable decisions.

Desired Qualifications

• Minimum of 2 years in data analytics, ideally within fintech or payment sectors.
• Proficient in SQL and experienced with business intelligence and data visualization platforms such as Tableau, Looker, or Metabase.
• Knowledgeable about analytics instrumentation and event-based data architectures for mobile and web applications.
• Experience analyzing mobile analytics, including funnel conversion, user drop-offs, and behavior patterns.
• Understanding of transaction data processing, including payment flows, categorization, and data quality challenges.
• Capability to translate complex business questions into structured analytical methods leading to practical insights.
• Additional advantageous skills include familiarity with product analytics tools like Amplitude, experience in forecasting or financial reporting, and exposure to fast-paced startup or rapidly growing product environments.