Data Analyst (Finance)

Sea

📍Singapore, Singapore
Posted May 19, 2026
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Job Overview

Position

Data Analyst (Finance)

Company

Sea

Location

Singapore, Singapore

Work Type

On-site

Job ID

li-4368158765

Job Description

About the Team:
You will be part of Sea’s HQ Finance department, which plays an integral role in supporting the accounting and finance needs of our three core businesses (Garena, Shopee, Monee) and across our diverse regional market presence. Within the department, the Group Data function builds and maintains scalable data infrastructure through data ingestion, transformation, and warehousing via robust ETL pipelines, while also developing web-based tools that enable efficient access and interaction with data systems to support accurate reporting and analysis.. You will play an important role in delivering high quality and comprehensive analysis to support the respective business needs. Besides applying your strong technical knowledge in our projects, you will be involved in designing and implementing innovative elements to meet the needs of our growing business.

Job Description:
As a Data Analyst, you will play an important role in delivering high quality and comprehensive analysis to support the respective business needs. Besides applying your strong technical knowledge in our projects, you will be involved in designing and implementing innovative elements to meet the needs of our growing business

  • Understand user requirements; Design data deliverables

  • Understand data source; Design data warehouse and ETL pipelines

  • Develop, deliver and maintain ETL pipelines using various technologies

  • Manage data, scripts and documentation according to compliance rules

  • Help users with offline data processing and raise their efficiency by automating routine jobs

  • Collaborate with data platform team and strive for better platform features to ease ETL development

Requirements:

  • Bachelor's degree or higher in computer science, business analytics, mathematics, statistics or related disciplines.

  • Self-learner with a strong sense of ownership.

  • Deep understanding of SQL and Python are required; Experience in other programming languages, such as R, Scala, Java and Shell is preferred.

  • Hands-on experience on big data technology, such as Hadoop, Spark and Flink is preferred.

  • Strong analytical skill, strong verbal and written communication skills.
✦

Interview Prep

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Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How would you approach designing a data warehouse and ETL pipeline to integrate financial data from Shopee, Garena, and Monee, given their diverse regional market presence?
  • 2.Can you explain the difference between using Spark and Flink in a big data pipeline, and when you would choose one over the other for a finance use case?
  • 3.How do you ensure data compliance and accuracy when developing and maintaining ETL pipelines that handle sensitive financial data?
🎯Behavioral Questions (3)
  • 1.Tell me about a time when you had to understand complex user requirements from a non-technical finance team and translate them into a data deliverable.
  • 2.Describe a situation where you took ownership of a failing or inefficient data process and improved it.
  • 3.Give an example of a time you collaborated with a platform or engineering team to advocate for a feature that eased your ETL development.
🧩Situational Questions (2)
  • 1.A finance user approaches you with a massive, slow-running offline Excel process they use for monthly regional reporting. They want you to help raise their efficiency. How do you handle this?
  • 2.You discover that a critical ETL pipeline feeding financial dashboards for one of Sea's core businesses has been silently producing incorrect aggregations for the past week due to an upstream source schema change. What is your immediate action plan?

Resume Keywords

Make sure these keywords appear on your resume

ETL PipelineData WarehouseSQLPythonFinancial DataBig DataSparkFlinkData ComplianceAutomationRequirements GatheringCross-functional Collaboration

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