Salmon

data analyst for Collections

In short

This role builds and maintains analytical infrastructure, data models, and dashboards for the Collections function at a fast-growing fintech lending platform in Southeast Asia. The team works with large datasets, monitors data quality, and investigates discrepancies in financial/lending data. It requires 1–2+ years of experience in data, product, risk, or operations analytics with strong SQL skills; remote work is aligned to Manila core hours (UTC+8).

About
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. In three years, it has grown to 7M+ app downloads, 2M+ monthly active users, 7000+ partner stores, and raised US$350M+ from top-tier investors.
Responsibilities
•Build and maintain analytical infrastructure connecting raw data to operational decisions across Collections, Risk, and DWH
•Develop and support regular reporting and dashboards for key Collections metrics, keeping them accurate, documented, and useful as the business evolves
•Monitor data quality across sources and calculations, independently investigate discrepancies, and resolve issues before they affect downstream decisions
•Build and maintain data models and analytical datasets for Collections operations and reporting
•Develop reports and dashboards and support ad-hoc analysis requests from Collections and related functions
•Investigate data quality issues, identify root causes, and document findings
•Document calculation logic, data sources, datasets, and reports
Requirements
•1–2+ years of experience in data, product, risk, or operations analytics
•Strong SQL skills and hands-on experience with large datasets
•Experience building and maintaining data models and regular reporting
•Solid understanding of data quality principles and ability to independently investigate discrepancies and identify their root causes
Nice to have
•Experience with Databricks or similar tools
•Experience with dbt or similar data transformation frameworks
•Experience building dashboards in Tableau or similar BI tools
•Background working with financial or lending data, particularly in Collections or Risk
Conditions
•Core hours are 12:00–19:00 Manila time (UTC+8)
•22 vacation days, Philippine public holidays, and 15 sick days
•Medical insurance for the employee and their family, starting day one
•Access to an internal psychological support specialist
•Office in Bonifacio Global City (BGC), Manila
•Relocation support includes flights and two weeks of accommodation for the employee, their family, and their pets; visa, paperwork, and logistics are handled
•USD $2,500 a year to fly home
•Regular offsites, sports, and team events across Southeast Asia
•Top-performing teams earn a dedicated beach house week around SEA

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