Data Analyst (Oracle / Data Warehouse) -Contract

NTT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading technology firm in Singapore seeks a Data Analyst (Oracle / Data Warehouse). The role involves supporting data management operations and requires 3–6 years of experience in data warehouse operations. Candidates must be proficient in Oracle PL/SQL, possess strong problem-solving skills, and have knowledge of the investment data domain. The position offers a 12-month renewable contract with opportunities to collaborate with top-tier technology teams.

Qualifications

• 3–6 years of experience in data warehouse or data mart operations.
• Hands-on expertise in Oracle PL/SQL and data reconciliation processes.
• Strong understanding of data quality, SLA management, and issue resolution workflows.
• Knowledge of investment data domain or financial datasets preferred.
• CAT-1 clearance or eligibility is mandatory.

Responsibilities

• Support daily operations and data management activities for EDW and TPDM.
• Perform data analysis, reconciliation, and quality checks in line with SLA commitments.
• Monitor and troubleshoot data-related issues.
• Manage user queries, coordinate UAT activities, and support production releases.
• Develop and maintain Oracle PL/SQL scripts for validation, extraction, and transformation.

Skills

Data analysis

Problem-solving

Communication skills

Oracle PL/SQL

Monitoring

Troubleshooting

Data quality

Education

Degree in Computer Science, Information Technology, or related field

Tools

Snowflake

Denodo

Automation scripting (Python, Shell)

Shell

Job description

Data Analyst (Oracle / Data Warehouse) -Contract

Location: Tanjong Pagar

Employment Type: 12-Month Renewable Contract

Employer: NTT DATA Singapore Pte. Ltd.

Client: (One of Singapore’s leading investment management institutions)

Clearance Requirement: CAT-1 Cleared / Eligible

About the Role

We are seeking a Data Analyst (Junior/Mid-Level) to support enterprise data management operations across Enterprise Data Warehouse (EDW) and Total Portfolio Data Mart (TPDM) environments. The successful candidate will work closely with cross-functional teams to ensure data accuracy, consistency, and integrity across business-critical systems.

Key Responsibilities

• Support daily operations and data management activities for the Enterprise Data Warehouse (EDW) and Total Portfolio Data Mart (TPDM).
• Perform data analysis, data reconciliation, and quality checks in line with SLA commitments.
• Monitor, troubleshoot, and resolve data-related issues to maintain high data availability and reliability.
• Manage user queries, coordinate UAT activities, and support production releases.
• Develop and maintain Oracle PL/SQL scripts for data validation, extraction, and transformation.
• Document technical and functional specifications for system enhancements and process improvements.
• Collaborate with stakeholders to address data anomalies and ensure governance standards are met.
• Provide timely reports, dashboards, and data insights to internal teams and business users.

Requirements

Must Have:

• Degree in Computer Science, Information Technology, or related field.
• 3–6 years of experience in data warehouse or data mart operations.
• Hands‑on expertise in Oracle PL/SQL and data reconciliation processes.
• Experience in data analysis, monitoring, troubleshooting, and UAT support.
• Strong understanding of data quality, SLA management, and issue resolution workflows.
• Excellent analytical, problem‑solving, and communication skills.
• Knowledge of investment data domain or financial datasets preferred.
• CAT-1 clearance or eligibility is mandatory.

Good to Have:

• Exposure to Snowflake or Denodo data virtualization platforms.
• Familiarity with data governance, metadata management, and data lineage tools.
• Experience in automation scripting (Python, Shell) for data quality monitoring.

Why Join Us

At NTT DATA, you will collaborate with top‑tier technology teams supporting one of Singapore’s premier financial institutions. This role offers excellent exposure to enterprise data management practices and modern data platforms within the financial domain.

Only shortlisted candidates will be contacted.

Interested candidates are kindly requested to email their CV with experience to [e-mail]

We look forward to your application!