DATA ANALYST (FP&A)

CALIBER8 PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A fast-growing fintech company in Singapore is seeking a Data Analyst (FP&A) to develop financial and business data models that drive decision-making. The ideal candidate will own small data projects and work with finance, product, and leadership for actionable insights. Experience with SQL, BI tools, and data governance is required. Join us to enhance analytical capabilities and contribute to our rapid growth.

Qualifications

• 2-4 years of related work experience in data analysis.
• Ability to work independently and manage multiple tasks.
• Experience in payments, fintech, or financial services is a plus.

Responsibilities

• Build and maintain finance and business data marts.
• Design and maintain dashboards and reports using BI tools.
• Lead small data initiatives from scoping to delivery.

Skills

SQL

Python

R

Data manipulation

Business Intelligence tools

Education

Bachelor degree in Computer Science, Statistics, or Mathematics

Tools

Power BI

Tableau

Apache Superset

AWS QuickSight

ETL processes

data warehouses

Job description

DATA ANALYST (FP&A)

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 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).