Data Analyst

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

Job summary

A leading fintech company in Singapore is seeking a Data Analyst to design dashboards, analyze transaction data, and automate reporting processes. The ideal candidate has a degree in a relevant field and 3 years of experience handling large datasets, with strong SQL and visualization skills. Join us to turn data into actionable insights and support business growth.

Qualifications

• 3 years of experience handling large datasets, ideally in payments, fintech, or fast-moving industry.
• Strong SQL skills are essential; experience with Python is advantageous.
• Familiarity with transaction-heavy or e-payment environments will be viewed positively.

Responsibilities

• Design dashboards that track merchant activity and product usage.
• Explore transaction data to spot trends and translate them into recommendations.
• Prepare regular reports on business performance and service usage.
• Work with Data Engineers to build predictive models.
• Automate data flows and reporting pipelines.

Skills

SQL

Analytical thinking

Attention to detail

Problem-solving

Python

Tableau

Power BI

Excel

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.
• 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.