DATA ANALYST

Tazapay; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading fintech company in Singapore is seeking a Data Analyst (FP&A) to develop and maintain financial and business data models. You will collaborate with cross-functional teams, ensure data reliability, and design impactful analytics and reporting. The ideal candidate has a Bachelor's degree and experience in SQL, Python, and BI tools. This role offers the opportunity to contribute to a fast-growing fintech environment.

Qualifications

• 2–4 years of related work experience.
• Proficiency in SQL, Python or R for data manipulation.
• Experience with BI tools for dashboarding.
• Experience in ETL processes and working with APIs.

Responsibilities

• Build and maintain finance and business data marts.
• Design and maintain dashboards and reports to monitor performance.
• Document data definitions and ensure data consistency.
• Lead small data initiatives from scoping to delivery.

Skills

SQL

Python

R

Business Intelligence tools

Data manipulation

ETL processes

Education

Bachelor’s degree in Computer Science, Statistics, or Mathematics

Tools

Apache Superset

AWS QuickSight

Job description

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 looking for a Data Analyst (Finance) to own the development of financial and business data models that drive decision‑making across Tazapay. This is an individual contributor role with project ownership responsibilities — ideal for someone who wants to build robust, scalable data infrastructure and analytics capabilities within a fast‑growing fintech.

You will design, build, and maintain data models, ensuring data reliability, transparency, and actionable insights for finance, product and leadership stakeholders.

Key Responsibilities

Data Modeling & Infrastructure

• Build and maintain finance and business data marts
• Translate complex financial and operational logic into well‑documented, auditable SQL transformations.
• Collaborate with FP&A and data engineering teams to ensure model alignment with reporting and forecasting needs.
• Establish data quality checks and automated validation layers to detect anomalies early.

Analytics & Reporting

• Design and maintain dashboards and reports to monitor product and business performance using Apache Superset, AWS QuickSight, or equivalent BI tools.
• Conduct deep‑dive analyses to uncover drivers of revenue, cost, and margin variance.
• Own and enhance recurring financial and operational reports used by Finance, Leadership and Board.

Data Governance & Documentation

• Document data definitions, business logic and SQL workflows.
• Ensure data consistency and reproducibility across datasets and dashboards.

Project Ownership

• Lead small data initiatives end‑to‑end — from scoping and prioritization to delivery and stakeholder alignment.
• Partner cross‑functionally to translate business problems into data solutions.

Key Requirements

• Bachelor’s degree or above in Computer Science, Statistics, Mathematics or other related majors with 2–4 years of related work experience
• Proficiency in SQL, Python or R for data manipulation
• Experience with BI tools (e.g. Power BI, Tableau, QuickSight, Superset) 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)