Data Analyst

KPay Group; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading fintech company is seeking a Data Analyst who enjoys interpreting data and generating insights to guide business decisions. You will work with merchant and transaction data to design dashboards, analyze trends, and prepare reports, collaborating closely with data engineers. The ideal candidate has a relevant degree, strong SQL skills, and can effectively communicate data findings to various stakeholders.

Qualifications

• 1–3 years of experience handling large datasets, ideally in payments or fintech.
• Strong SQL skills are essential; Python experience will be an advantage.
• A problem-solver with sharp analytical thinking and attention to detail.

Responsibilities

• Design dashboards that track merchant activity and product usage.
• Explore transaction data to spot trends and make recommendations.
• Prepare regular reports on business performance and service usage.

Skills

SQL skills

Python

Data analysis

Dashboard design

Excel proficiency

Education

Degree in Computer Science, Statistics, Data Analytics, or related field

Tools

Tableau

Power BI

Job description

KPay Group (KPay) is a leading fintech company dedicated to empowering businesses of all sizes with simple, smart, seamless and secure technology solutions. Serving over 60,000 merchants across Hong Kong, Singapore, Japan and Australia, KPay is unleashing merchants' growth potential by building a one-stop platform for financial management, business operations and digital transformation. KPay secures a record USD55 million in 2024, marking the largest series A fundraise globally in the payments sector of the year.

We are looking for a Data Analyst who enjoys making sense of numbers and turning them into stories that guide business decisions. In this role, you’ll be working with large volumes of merchant and transaction data, helping us measure product impact, improve customer engagement, and identify new opportunities for growth.

What You’ll Do

• Design dashboards that track merchant activity, product usage, and revenue performance in a clear, practical way.
• Explore transaction data to spot trends, patterns, and risks, then translate them into useful recommendations for the business.
• Prepare regular reports on business performance and service usage, ensuring stakeholders have the insights they need to act quickly.
• Work hand-in-hand with Data Engineers to build predictive models that support areas such as merchant retention and fraud prevention.
• Streamline processes by automating data flows, ETL tasks, and reporting pipelines across different platforms.
• Other ad-hoc duties as requested

What We’re Looking For

• A degree in Computer Science, Statistics, Data Analytics, or a related field.
• 1–3 years of experience handling large datasets, ideally in payments, fintech, or another fast-moving industry.
• Strong SQL skills are essential; Python experience will be an advantage.
• Proficiency with visualization tools such as Tableau or Power BI, plus strong Excel skills.
• A problem-solver with sharp analytical thinking and attention to detail.
• Able to explain complex data insights clearly to both technical and non-technical audiences.
• Familiarity with transaction-heavy or e-payment environments will be viewed positively.