Data Analyst
Singapore, Singapore
JOB DESCRIPTION: DATA ANALYST (FP&A)
Location: Singapore
About Tazapay
Tazapay is a leading cross-border payments platform, simplifying how businesses conduct global trade. We provide comprehensive payment solutions for collect, hold and payout to empower businesses of all sizes to scale internationally with confidence, without the need to set up local entities or work with multiple payment partners.
A single account and integration with Tazapay enables merchants to collect via cards and stablecoins globally, and via local payment methods (like UPI, Pix, PromptPay, etc) and Virtual bank accounts in 70+ markets. Tazapay’s platform also enables merchants to manage FX liquidity in 60+ currencies and payout to local bank accounts in 100+ countries.
Tazapay is licensed in Singapore and Canada, and is backed by leading global investors such as Peak XV, RTP Global and PayPal.
Our mission is to build trust in cross-border commerce by offering a secure, transparent, and efficient payments infrastructure that bridges businesses and customers globally.
ROLE OVERVIEW
We are seeking a data-driven and detail-oriented analyst to support financial analytics, reporting automation, and ETL workflows. This role will sit within the FP&A team to build dashboards, streamline financial reporting processes, and integrate new products/cost structures into our reporting framework.
Key Responsibilities
Financial Data Collection & Processing – Aggregate, clean, and process financial and transactional data from PSP reports, internal databases, Google Sheets, and other sources to ensure accurate reporting.
Financial Analysis & Performance Insights – Analyze revenue trends, cost structures, and financial performance to support budgeting, forecasting, and variance analysis for the FP&A team.
Dashboarding & Reporting Automation – Develop and maintain interactive financial dashboards (Power BI, Tableau, or QuickSight) to provide real-time visibility into key financial metrics.
ETL & Data Integration for Finance – Design and manage ETL pipelines to automate data extraction, transformation, and loading for financial reporting, ensuring data integrity and consistency.
Workflow & Reporting Process Automation – Automate recurring financial reporting, reconciliation processes, and cost tracking to enhance efficiency and accuracy.
Key Requirements
Bachelor degree or above in Computer Science, Statistics, Mathematics or other related majors with 1-2 years of related work experience
Proficiency in SQL, Python, or R for data manipulation.
Experience with BI tools (e.g. Power BI, Tableau, QuickSight) for dashboarding.
Experience in ETL processes and working with APIs, data warehouses, or cloud platforms (AWS, Snowflake, BigQuery).
Ability to work independently, manage multiple tasks, and collaborate cross-functionally.
Experience in payments, fintech, or financial services (Good to have).
Exposure to finance or accounting concepts (Good to have).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Accounting concepts APIs AWS BigQuery Computer Science ETL Finance FinTech Mathematics Pipelines Power BI Python QuickSight R Snowflake SQL Statistics Tableau
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