Data Analyst: Fintech Insights & Growth

KPAY MERCHANT SERVICE (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading fintech company in Singapore is seeking a Data Analyst to turn complex data into actionable insights. The role involves designing dashboards, analyzing transaction data, and preparing reports to enhance business decisions. Candidates should possess a degree in a related field, 3 years of experience with large datasets, and strong SQL skills. Proficiency in visualization tools like Tableau or Power BI is essential. This is a challenging opportunity to contribute to data-driven decision-making in a fast-paced environment.

Qualifications

• 3 years of experience handling large datasets, ideally in payments, fintech, or similar.
• Familiarity with transaction-heavy or e-payment environments will be viewed positively.
• Ability to explain complex data insights to technical and non-technical audiences.

Responsibilities

• Design dashboards that track merchant activity and revenue performance.
• Explore transaction data to identify trends and provide insights.
• Prepare regular reports on business performance for stakeholders.
• Collaborate with Data Engineers to build predictive models.
• Automate data flows, ETL tasks, and reporting pipelines.

Skills

Strong SQL skills

Analytical thinking

Proficient in Excel

Experience with Tableau or Power BI

Problem solving

Education

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

Tools

Tableau

Power BI

Python

Job description

A leading fintech company in Singapore is seeking a Data Analyst to turn complex data into actionable insights. The role involves designing dashboards, analyzing transaction data, and preparing reports to enhance business decisions. Candidates should possess a degree in a related field, 3 years of experience with large datasets, and strong SQL skills. Proficiency in visualization tools like Tableau or Power BI is essential. This is a challenging opportunity to contribute to data-driven decision-making in a fast-paced environment.