DATA ANALYST (FP&A)

Caliber8; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A fast-growing fintech company in Singapore is seeking a Data Analyst (Finance) to develop financial and business data models. The role involves building data infrastructure, ensuring data reliability, and delivering actionable insights. Ideal candidates will have a Bachelor's degree and 2-4 years of experience with SQL and BI tools. Join to drive decision-making in a dynamic environment.

Qualifications

• 2-4 years of related work experience.
• Ability to work independently and manage multiple tasks.
• Exposure to finance or accounting concepts (Good to have).

Responsibilities

• Build and maintain finance and business data marts.
• Design and maintain dashboards and reports for monitoring performance.
• Lead small data initiatives end-to-end.

Skills

SQL

Python

R

BI tools (Power BI, Tableau, QuickSight, Superset)

ETL processes

Data manipulation

Data analysis

Education

Bachelor degree in Computer Science, Statistics, Mathematics or related

Tools

AWS

Snowflake

BigQuery

Apache Superset

Job description

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.

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).