Financial Data Analyst: Reconciliation & Quality Assurance

APAR TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A technology solutions provider in Singapore is looking for a Data Analyst to support data management operations for their Data Cloud project. The ideal candidate has 3 to 7 years of experience in data management, particularly in the financial industry, with strong skills in SQL and Python. Responsibilities include data reconciliation, analysis, managing SLA, and providing documentation support, all within a fast-paced environment. A detail-oriented approach to data quality and accuracy is essential.

Qualifications

• 3–7 years of experience in Data Management, preferably in the financial industry.
• Strong SQL and Python skills.
• Hands-on experience in data reconciliation, quality checks, and troubleshooting.

Responsibilities

• Perform data reconciliation, monitoring, and quality checks, ensuring accuracy and compliance.
• Conduct hands-on data analysis to support operational and project needs.
• Manage SLA and end-user queries, ensuring timely resolution.
• Provide documentation support, including technical and functional specifications.
• Collaborate with stakeholders and project teams to troubleshoot and resolve data issues.

Skills

Data analysis

SQL

Python

Data reconciliation

Quality checks

Communication

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field

Job description

A technology solutions provider in Singapore is looking for a Data Analyst to support data management operations for their Data Cloud project. The ideal candidate has 3 to 7 years of experience in data management, particularly in the financial industry, with strong skills in SQL and Python. Responsibilities include data reconciliation, analysis, managing SLA, and providing documentation support, all within a fast-paced environment. A detail-oriented approach to data quality and accuracy is essential.