274 Data Quality Analyst jobs in Singapore
Qlik Dashboard Development / Data Quality Analyst (Cum Project Coordinator) (BANKING - Enterpris...
Posted 4 days ago
Job Viewed
Job Description
Bank Sector Client Singapore: Enterprise Data Governance | Data Management
- Summary: Work with stakeholders to understand business and functional requirements for data quality initiatives, using SQL queries for data extraction/table creation to ensure optimal data quality scores.
-Mandatory Skills: SQL (Query, Table Creation), Qlik Dashboard Visualization Development, Stakeholder management, strong presentation skills in PowerPoint, Project/time management experience.
- Good to have: Python Scripting & Automation
Job Description: Technical development work for upcoming Data Quality initiatives
- Collaborate with internal and external stakeholders to understand business needs and translate them into analytical solutions.
- Strategic thinker with a proactive approach to problem solving paired with strong stakeholder engagement skills
- Ability to story tell with data, articulating key points for consideration, as opposed to reading numbers off the dashboard
- Perform data profiling using SQL on large datasets to identify potential data quality issues.
- Develop and amend Qlik dashboard visualizations, in accordance to business requirements.
- Execute technical analysis with respect to data quality processes including requirement gathering, root cause analysis, dashboard wireframes and stakeholder engagement.
- Develop and perform SIT/UAT test cases for data quality rules and dashboard visualizations.
- Validation of technical implementation to ensure deliverables are fit for requirement with users.
- Strong written and presentation communication skills including dashboards and PowerPoint presentations
- Business process improvement and optimization including creation of SOP
- Develop and amend data quality rules using Python or Informatica IDQ, in accordance to business requirements (good to have)
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About us:
D L Resources Pte Ltd is a leading provider of IT Professional Services & Banking outsourced staffing solutions, serving a diverse portfolio of clients across various industries including Financial Services Institutions, Banks & MNCs.
Interested candidates may reach out directly to our recruiters (Edwin: +65 8 8 3 3 0 1 9 2 | EA License No: 24C2333 | EA Personnel No: R24123520)
Quality Data Analyst
Posted today
Job Viewed
Job Description
Duration: 1 yr contract
Location: Novena
Job Scope:
Supplier Management
a)
Supplier Performance Trending & Reporting for APAC
b)
IQVIA system Quality administrator for APAC
Quality Management System
a)
Collate & Deep-dive analysis of APAC Post-Market Quality data trending for regular review with stakeholders and leadership team.
b)
Document & BOM configuration change author
Other incidental duties: Implement continuous improvement program or project assigned by manager
Job Requirements:
- Min. Degree in engineering/ science or any relevant field
- Min. knowledge in PowerBI/ Minitab/ ISO13485
For interested applicants, please send your updated resume to:
All candidates' information will be treated with the strictest confidence
Melissa Zhang Zhiqi (Mezzo)
R2197564
Recruit Express Pte Ltd
99C4599
Leadership
Supplier Performance
Data Analysis
Big Data
Quality Management
Data Management
Data Quality
PowerBI
Attention to Detail
Data Science
Data Analytics
Databases
Data Visualization
Minitab
Regulatory Reporting & Data Management (Data Governance)
Posted 25 days ago
Job Viewed
Job Description
The role involves leading the implementation of data governance practices, focusing on critical data elements essential for regulatory reporting, risk assessment, financial disclosures, and KYC/AML compliance. The position includes accountability for governing data used in reports submitted to regulators such as MAS, BNM, APRA, BoT, and others.
This position requires a strong blend of domain expertise in Risk, Finance, Regulatory Reporting, and KYC/AML, combined with a solid technical foundation in data management, ETL processes, and governance platforms like Collibra.
Key Responsibilities
- Support teams in identifying and prioritizing key data elements (KDEs) critical to regulatory and risk reporting (e.g., MAS, BNM, BoT, APRA).
- Collaborate with regulatory reporting teams to harmonize data definitions and resolve ownership or consistency issues.
- Conduct data governance assessments on reports related to IFRS9, Basel III, Liquidity, Credit Risk, and KYC/AML.
- Guide the maintenance of data element traceability from source systems to reporting outputs using governance tools.
- Interpret regulatory requirements from MAS, BNM, APRA, BoT, BCBS 239, and translate them into actionable data governance operations.
- Work with compliance teams to ensure policies align and prepare for audits or inspections.
- Review and assist in remediation of data gaps or inconsistencies in regulatory reporting.
- Facilitate rollout of data governance frameworks, including ownership models, data quality standards, and KDE identification across APAC.
- Engage business, IT, and architecture stakeholders to implement effective governance for critical reporting workflows.
- Support metadata enrichment and key data element cataloging within Collibra for risk and finance datasets.
- Collaborate with tool specialists to manage lineage, ownership, and business definitions in governance platforms.
- Ensure alignment between metadata repositories and actual data usage for regulatory frameworks like Basel, IFRS 9, Liquidity, Large Exposure, etc.
- Act as liaison between business units (Risk, Finance, Compliance) and data governance/IT teams.
- Conduct training sessions and workshops for data stewards and report owners on KDE management, data ownership, and lineage.
- Drive resolution of data-related issues impacting reporting accuracy or regulatory compliance.
Qualifications & Experience
- Bachelor’s degree in Finance, Risk, Business Management, Data Management, or related fields.
- 2 to 7 years’ experience in regulatory reporting, finance, risk, or KYC/AML roles within banking or financial services.
- In-depth knowledge of regulatory frameworks such as BCBS 239, Basel II/III, IFRS 9, MAS, BNM, BoT, and APRA.
- Understanding of the full data flow from source systems through risk calculations to regulatory report submissions.
- Familiarity with data governance concepts and their operationalization, including data ownership, data quality, metadata management, and lineage.
- Experience using data governance platforms such as Collibra is preferred; working knowledge of data management systems, ETL processes, or regulatory reporting tools (e.g., Vermeg, Moody’s, SAS) is advantageous.
- Strong stakeholder management skills to foster collaboration between business and IT teams.
- Excellent documentation and communication skills to define and maintain business metadata and reporting governance.
- Exposure to regulatory audits, remediation efforts, or data governance projects is a plus.
- Relevant certifications such as CDMP, Collibra, or CIMP will be beneficial.
Regulatory Reporting & Data Management (Data Governance)
Posted today
Job Viewed
Job Description
The role involves leading the implementation of data governance practices, focusing on critical data elements essential for regulatory reporting, risk assessment, financial disclosures, and KYC/AML compliance. The position includes accountability for governing data used in reports submitted to regulators such as MAS, BNM, APRA, BoT, and others.
This position requires a strong blend of domain expertise in Risk, Finance, Regulatory Reporting, and KYC/AML, combined with a solid technical foundation in data management, ETL processes, and governance platforms like Collibra.
Key Responsibilities
- Support teams in identifying and prioritizing key data elements (KDEs) critical to regulatory and risk reporting (e.g., MAS, BNM, BoT, APRA).
- Collaborate with regulatory reporting teams to harmonize data definitions and resolve ownership or consistency issues.
- Conduct data governance assessments on reports related to IFRS9, Basel III, Liquidity, Credit Risk, and KYC/AML.
- Guide the maintenance of data element traceability from source systems to reporting outputs using governance tools.
- Interpret regulatory requirements from MAS, BNM, APRA, BoT, BCBS 239, and translate them into actionable data governance operations.
- Work with compliance teams to ensure policies align and prepare for audits or inspections.
- Review and assist in remediation of data gaps or inconsistencies in regulatory reporting.
- Facilitate rollout of data governance frameworks, including ownership models, data quality standards, and KDE identification across APAC.
- Engage business, IT, and architecture stakeholders to implement effective governance for critical reporting workflows.
- Support metadata enrichment and key data element cataloging within Collibra for risk and finance datasets.
- Collaborate with tool specialists to manage lineage, ownership, and business definitions in governance platforms.
- Ensure alignment between metadata repositories and actual data usage for regulatory frameworks like Basel, IFRS 9, Liquidity, Large Exposure, etc.
- Act as liaison between business units (Risk, Finance, Compliance) and data governance/IT teams.
- Conduct training sessions and workshops for data stewards and report owners on KDE management, data ownership, and lineage.
- Drive resolution of data-related issues impacting reporting accuracy or regulatory compliance.
Qualifications & Experience
- Bachelor’s degree in Finance, Risk, Business Management, Data Management, or related fields.
- 2 to 7 years’ experience in regulatory reporting, finance, risk, or KYC/AML roles within banking or financial services.
- In-depth knowledge of regulatory frameworks such as BCBS 239, Basel II/III, IFRS 9, MAS, BNM, BoT, and APRA.
- Understanding of the full data flow from source systems through risk calculations to regulatory report submissions.
- Familiarity with data governance concepts and their operationalization, including data ownership, data quality, metadata management, and lineage.
- Experience using data governance platforms such as Collibra is preferred; working knowledge of data management systems, ETL processes, or regulatory reporting tools (e.g., Vermeg, Moody’s, SAS) is advantageous.
- Strong stakeholder management skills to foster collaboration between business and IT teams.
- Excellent documentation and communication skills to define and maintain business metadata and reporting governance.
- Exposure to regulatory audits, remediation efforts, or data governance projects is a plus.
- Relevant certifications such as CDMP, Collibra, or CIMP will be beneficial.
Regulatory Reporting & Data Management (Data Governance)
Posted today
Job Viewed
Job Description
The role involves leading the implementation of data governance practices, focusing on critical data elements essential for regulatory reporting, risk assessment, financial disclosures, and KYC/AML compliance. The position includes accountability for governing data used in reports submitted to regulators such as MAS, BNM, APRA, BoT, and others.
This position requires a strong blend of domain expertise in Risk, Finance, Regulatory Reporting, and KYC/AML, combined with a solid technical foundation in data management, ETL processes, and governance platforms like Collibra.
Key Responsibilities
Support teams in identifying and prioritizing key data elements (KDEs) critical to regulatory and risk reporting (e.g., MAS, BNM, BoT, APRA).
Collaborate with regulatory reporting teams to harmonize data definitions and resolve ownership or consistency issues.
Conduct data governance assessments on reports related to IFRS9, Basel III, Liquidity, Credit Risk, and KYC/AML.
Guide the maintenance of data element traceability from source systems to reporting outputs using governance tools.
Interpret regulatory requirements from MAS, BNM, APRA, BoT, BCBS 239, and translate them into actionable data governance operations.
Work with compliance teams to ensure policies align and prepare for audits or inspections.
Review and assist in remediation of data gaps or inconsistencies in regulatory reporting.
Facilitate rollout of data governance frameworks, including ownership models, data quality standards, and KDE identification across APAC.
Engage business, IT, and architecture stakeholders to implement effective governance for critical reporting workflows.
Support metadata enrichment and key data element cataloging within Collibra for risk and finance datasets.
Collaborate with tool specialists to manage lineage, ownership, and business definitions in governance platforms.
Ensure alignment between metadata repositories and actual data usage for regulatory frameworks like Basel, IFRS 9, Liquidity, Large Exposure, etc.
Act as liaison between business units (Risk, Finance, Compliance) and data governance/IT teams.
Conduct training sessions and workshops for data stewards and report owners on KDE management, data ownership, and lineage.
Drive resolution of data-related issues impacting reporting accuracy or regulatory compliance.
Qualifications & Experience
Bachelor’s degree in Finance, Risk, Business Management, Data Management, or related fields.
2 to 7 years’ experience in regulatory reporting, finance, risk, or KYC/AML roles within banking or financial services.
In-depth knowledge of regulatory frameworks such as BCBS 239, Basel II/III, IFRS 9, MAS, BNM, BoT, and APRA.
Understanding of the full data flow from source systems through risk calculations to regulatory report submissions.
Familiarity with data governance concepts and their operationalization, including data ownership, data quality, metadata management, and lineage.
Experience using data governance platforms such as Collibra is preferred; working knowledge of data management systems, ETL processes, or regulatory reporting tools (e.g., Vermeg, Moody’s, SAS) is advantageous.
Strong stakeholder management skills to foster collaboration between business and IT teams.
Excellent documentation and communication skills to define and maintain business metadata and reporting governance.
Exposure to regulatory audits, remediation efforts, or data governance projects is a plus.
Relevant certifications such as CDMP, Collibra, or CIMP will be beneficial.
#J-18808-Ljbffr
Regulatory Reporting & Data Management (Data Governance)
Posted 1 day ago
Job Viewed
Job Description
The role involves leading the implementation of data governance practices, focusing on critical data elements essential for regulatory reporting, risk assessment, financial disclosures, and KYC/AML compliance. The position includes accountability for governing data used in reports submitted to regulators such as MAS, BNM, APRA, BoT, and others.
This position requires a strong blend of domain expertise in Risk, Finance, Regulatory Reporting, and KYC/AML, combined with a solid technical foundation in data management, ETL processes, and governance platforms like Collibra.
Key Responsibilities
- Support teams in identifying and prioritizing key data elements (KDEs) critical to regulatory and risk reporting (e.g., MAS, BNM, BoT, APRA).
- Collaborate with regulatory reporting teams to harmonize data definitions and resolve ownership or consistency issues.
- Conduct data governance assessments on reports related to IFRS9, Basel III, Liquidity, Credit Risk, and KYC/AML.
- Guide the maintenance of data element traceability from source systems to reporting outputs using governance tools.
- Interpret regulatory requirements from MAS, BNM, APRA, BoT, BCBS 239, and translate them into actionable data governance operations.
- Work with compliance teams to ensure policies align and prepare for audits or inspections.
- Review and assist in remediation of data gaps or inconsistencies in regulatory reporting.
- Facilitate rollout of data governance frameworks, including ownership models, data quality standards, and KDE identification across APAC.
- Engage business, IT, and architecture stakeholders to implement effective governance for critical reporting workflows.
- Support metadata enrichment and key data element cataloging within Collibra for risk and finance datasets.
- Collaborate with tool specialists to manage lineage, ownership, and business definitions in governance platforms.
- Ensure alignment between metadata repositories and actual data usage for regulatory frameworks like Basel, IFRS 9, Liquidity, Large Exposure, etc.
- Act as liaison between business units (Risk, Finance, Compliance) and data governance/IT teams.
- Conduct training sessions and workshops for data stewards and report owners on KDE management, data ownership, and lineage.
- Drive resolution of data-related issues impacting reporting accuracy or regulatory compliance.
Qualifications & Experience
- Bachelor’s degree in Finance, Risk, Business Management, Data Management, or related fields.
- 2 to 7 years’ experience in regulatory reporting, finance, risk, or KYC/AML roles within banking or financial services.
- In-depth knowledge of regulatory frameworks such as BCBS 239, Basel II/III, IFRS 9, MAS, BNM, BoT, and APRA.
- Understanding of the full data flow from source systems through risk calculations to regulatory report submissions.
- Familiarity with data governance concepts and their operationalization, including data ownership, data quality, metadata management, and lineage.
- Experience using data governance platforms such as Collibra is preferred; working knowledge of data management systems, ETL processes, or regulatory reporting tools (e.g., Vermeg, Moody’s, SAS) is advantageous.
- Strong stakeholder management skills to foster collaboration between business and IT teams.
- Excellent documentation and communication skills to define and maintain business metadata and reporting governance.
- Exposure to regulatory audits, remediation efforts, or data governance projects is a plus.
- Relevant certifications such as CDMP, Collibra, or CIMP will be beneficial.
Data Management
Posted today
Job Viewed
Job Description
C-AB-002
Key Responsibilities:
· The client wants to create data integration, data marts, and data lakes in accordance with their data architect.
· However, rather than simply following instructions, it will be necessary to consider the current and future styles of data, communicate with multiple members, and perform design work when necessary (in other words, this role will require strong business analysis skills).
· We are looking for personnel who can provide this support.
Key Requirements:
· Bachelor's degree in computer science, Information Systems, Data Science, or a related field. Master's degree preferred.
· 8-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).
· Basic knowledge of data governance (i.e. DAMA-DMBOK).
· Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.
· Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).
· Advanced SQL skills and strong ability to work with large, complex financial datasets.
· Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.
· Intermediate understanding of regulatory compliance in the APAC region.
· Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.
· Need to Power BI experiences
· People who can communicate and create basic reports
How to Apply:
If interested, please send your resume to or by clicking the "Apply Now" button.
We regret that only short-listed applicants will be notified.
Rachel Ling
Registration No: R21102195
EA Licence No: 21C0761
Tell employers what skills you haveRegulatory Compliance
Erwin
Advanced SQL
Business Analysis
Data Management
Documentation Skills
Data Integration
Data Governance
SQL
Data Architecture
Banking
Data Science
Power BI
Data Warehousing
Financial Services
Financial Reporting
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Data Management
Posted 13 days ago
Job Viewed
Job Description
C-AB-002
Key Responsibilities:
· The client wants to create data integration, data marts, and data lakes in accordance with their data architect.
· However, rather than simply following instructions, it will be necessary to consider the current and future styles of data, communicate with multiple members, and perform design work when necessary (in other words, this role will require strong business analysis skills).
· We are looking for personnel who can provide this support.
Key Requirements:
· Bachelor’s degree in computer science, Information Systems, Data Science, or a related field. Master's degree preferred.
· 8-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).
· Basic knowledge of data governance (i.e. DAMA-DMBOK).
· Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.
· Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).
· Advanced SQL skills and strong ability to work with large, complex financial datasets.
· Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.
· Intermediate understanding of regulatory compliance in the APAC region.
· Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.
· Need to Power BI experiences
· People who can communicate and create basic reports
How to Apply:
If interested, please send your resume to or by clicking the “Apply Now” button.
We regret that only short-listed applicants will be notified.
Rachel Ling
Registration No: R21102195
EA Licence No: 21C0761
Quality Data Analyst (Entry level/ MNC) #HZO
Posted 6 days ago
Job Viewed
Job Description
Duration: 1 yr contract
Location: Novena
Job Scope:
Supplier Management
a)
Supplier Performance Trending & Reporting for APAC
b)
IQVIA system Quality administrator for APAC
Quality Management System
a)
Collate & Deep-dive analysis of APAC Post-Market Quality data trending for regular review with stakeholders and leadership team.
b)
Document & BOM configuration change author
Other incidental duties: Implement continuous improvement program or project assigned by manager
Job Requirements:
- Min. Degree in engineering/ science or any relevant field
- Min. knowledge in PowerBI/ Minitab/ ISO13485
For interested applicants, please send your updated resume to:
All candidates’ information will be treated with the strictest confidence
Melissa Zhang Zhiqi (Mezzo)
R2197564
Recruit Express Pte Ltd
99C4599
Data Management Executive
Posted 13 days ago
Job Viewed
Job Description
Responsibilities
- Assist in the updating, extracting and uploading of database for marketing purposes;
- Perform data de-duplication, manipulation, cleansing, extraction, mapping/matching;
- Perform queries and list pulls for marketing campaigns;
- Monitor and perform updating, deduping, clean-up, extracting and uploading of database;
- Report on campaigns performance, effectiveness, and growth;
- Produce quantitative reports/presentations and communicate on findings, highlight any inconsistencies / issues;
- Work with business and IT resources regarding database issues and technical questions;
- The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities and qualifications may be required and/or assigned as necessary.
Requirements:
- Minimum 1-2 years of relevant database / reporting experience;
- Minimum Diploma in a relevant field;
- Highly proficient with Microsoft Excel (E.g.: Pivot Tables, Macros, etc);
- Understanding of database structure;
- Basic programming skills will be an advantage;
- Able to work in a deadline driven environment with the ability to meet aggressive deadlines;
- Able to handle multiple campaigns assigned;
- Observes attention-to-detail, meticulous and organized; and
- Fluent in both spoken and written English.
We regret that only shortlisted candidates will be notified.
#J-18808-Ljbffr