Data Management Analyst (BA + QA Focus)

Unison Consulting Pte Ltd; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A consulting firm in Singapore is seeking a Data Management Analyst with strong business analysis and quality assurance experience. This role involves supporting data management initiatives within the financial domain, ensuring data accuracy and reliability. Ideal candidates will have 3–7 years of experience in data management, preferably in the financial services industry, along with a bachelor’s degree in a related field. Excellent problem-solving and stakeholder management skills are essential.

Qualifications

• 3–7 years of experience in Data Management, preferably within the financial services industry.
• Strong experience in Data Warehouse environments (data validation, reporting layers, reconciliation).
• Proven background in Business Analysis and/or Data Quality/QA roles.
• Hands-on experience with data analysis and reconciliation activities.
• Working knowledge of SQL and Python for data analysis and validation.

Responsibilities

• Act as a bridge between business users and technical teams to understand data requirements.
• Perform data validation, reconciliation, and quality checks.
• Analyze data from data warehouses and source systems.
• Design and execute data quality test cases.
• Manage SLA-driven support activities, including handling queries from end users.

Skills

Data analysis

Data validation

SQL

Python

Communication

Stakeholder management

Problem-solving

Attention to detail

Education

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

Job description

📍 Role Overview

We are seeking a Data Management Analyst with a strong blend of Business Analysis and Quality Assurance experience to support data management initiatives within the financial domain. The ideal candidate will have hands‑on exposure to data warehouses, data quality, and reconciliation processes, and will work closely with business and technical stakeholders to ensure data accuracy, consistency, and reliability.

🎯 Key Responsibilities

• Act as a bridge between business users and technical teams to understand data requirements and translate them into functional specifications.
• Perform data validation, reconciliation, and quality checks, including implementation, monitoring, and issue resolution.
• Analyze data from data warehouses and source systems to identify gaps, inconsistencies, and improvement opportunities.
• Design and execute data quality test cases, support UAT, and ensure adherence to business rules.
• Manage SLA-driven support activities, including handling queries and issues raised by end users.
• Prepare and maintain functional and technical documentation such as BRDs, FRDs, data mapping documents, and SOPs.
• Collaborate with stakeholders to support data governance, controls, and continuous improvement initiatives.
• Participate in project discussions, requirement walkthroughs, defect triage, and data review sessions.

✅ Required Qualifications & Experience

• Bachelor's degree in Computer Science, Information Technology, or related field.
• 3–7 years of experience in Data Management, preferably within the financial services industry.
• Strong experience in Data Warehouse environments (data validation, reporting layers, reconciliation).
• Proven background in Business Analysis and/or Data Quality/QA roles.
• Hands‑on experience with data analysis and reconciliation activities.
• Working knowledge of SQL and Python for data analysis and validation (not heavy development).
• Experience handling end‑user queries and SLA-based support.
• Strong experience in documentation (functional specs, data definitions, test scenarios, reports).
• Excellent problem‑solving, communication, and stakeholder management skills.
• High attention to detail, data accuracy, and quality.
• Ability to manage multiple priorities in a fast‑paced environment.

🌟 Nice to Have

• Experience with banking/financial data platforms.
• Exposure to data governance, metadata management, or regulatory reporting.
• Prior involvement in UAT or data migration/warehouse projects.