Data Analyst

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

About the Role

We are seeking a detail-oriented and experienced Data Analyst to support data management operations for our Data Cloud project. The ideal candidate will have strong experience in financial industry data management, with expertise in data reconciliation, quality checks, and data analysis. This role requires someone who can handle multiple tasks, maintain accuracy, and provide excellent support to stakeholders.

Key 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.
• Manage multiple priorities in a fast-paced environment with attention to detail.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• 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.
• Experience in managing SLA and responding to end-user queries.
• Strong problem-solving, communication, and documentation skills.
• Detail-oriented with a focus on data quality and accuracy.
• Ability to handle multiple tasks and priorities effectively.