973 Data Quality Analyst jobs in Singapore

Job Summary

We are seeking a detail-oriented and proactive Enterprise Data Quality Technical Analyst cum Project Coordinator to work on project for a reputed bank. .You will play a key role in driving data quality initiatives across the organization, ensuring data accuracy and integrity through technical analysis, dashboard visualization, and cross-functional collaboration.

Mandatory Skill-set

• Degree in Computer Science, Information Technology or related discipline;
• Must have proficiency in SQL writing complex queries and creating/managing tables for data analysis;
• Must have experience in developing and updating Qlik dashboard visualizations;
• Strong interpersonal skills to effectively engage with technical and non-technical stakeholders;
• Ability to create and deliver impactful PowerPoint presentations;
• Demonstrated experience in managing tasks, timelines, and deliverables;
• Excellent written and verbal communication skills.

Desired Skill-set

• Experience in writing scripts in Python for data quality automation or rule creation;
• Work experience in Banking industry.

Responsibilities

• Collaborate with internal and external stakeholders to gather and understand business and functional requirements for data quality initiatives;
• Perform data profiling and analysis on large datasets using SQL to identify data quality issues and ensure optimal data quality scores;
• Develop and maintain Qlik dashboard visualizations to communicate insights and support decision-making;
• Translate business requirements into technical deliverables including data quality rules, dashboard wireframes, and test cases;
• Conduct root cause analysis for data quality issues and implement corrective measures;
• Create and execute SIT/UAT test cases for data quality rules and dashboards;
• Validate technical implementations to ensure alignment with business requirements;
• Present analytical findings and data stories clearly to business stakeholders using compelling PowerPoint presentations;
• Manage project timelines, track progress, and ensure timely delivery of initiatives;
• Document processes and create Standard Operating Procedures (SOPs) for repeatable and scalable solutions;
• Continuously seek opportunities for business process improvement and optimization.

Should you be interested in this career opportunity, please send in your updated resume to at the earliest.

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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

At our organization, we are seeking a highly skilled Data Integrity Specialist to join our team.

• Lead the implementation of analytical equipment and lab computerized systems including HPLC GC UV LIMS and Empower.
• Develop and execute validation deliverables such as URS risk assessments IQ/OQ/PQ RTM and summary reports.
• Ensure compliance with 21 CFR Part 11 Annex 11 ALCOA+ principles and data integrity controls.
• Evaluate and validate audit trails security settings and user access controls.
• Support integration between instrument PC network and enterprise systems.

In addition to these responsibilities, this role will also involve collaborating with QA QC and IT teams to support inspection readiness and continuous improvement.

This is a unique opportunity to utilize your technical expertise in data management and compliance to drive business growth and success. If you have strong analytical skills and experience working with laboratory systems, we encourage you to apply for this exciting opportunity.

Data and Accreditation Executive (1 Year Contract)

We are seeking a highly skilled Data and Accreditation Executive to join our team. This is a key role that involves ensuring the accuracy and reliability of institutional and program data.

The ideal candidate will have strong analytical and problem-solving skills, as well as excellent communication and interpersonal skills. They will be able to work independently and as part of a team to achieve shared goals.

This role is responsible for supporting accreditation processes, including AACSB and EQUIS, as well as Assurance of Learning initiatives. The successful candidate will also assist with academic matters related to curriculum, assessment rubrics, and e-Rubric platforms.

• Ensure the accuracy and reliability of institutional and program data collected through various channels
• Support accreditation processes, including AACSB and EQUIS, and Assurance of Learning initiatives
• Assist with academic matters related to curriculum, assessment rubrics, and e-Rubric platforms
• Provide support for program rankings and strategic education initiatives

• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• Proficiency in Microsoft Office

Location: Raffles Place

Duration: 12 months contract

Working Hours: 9AM to 6.30PM Monday to Thursday, and 9AM to 5.30PM Friday with 1 Hour meal break

Salary: Up to $6000

Job Responsibilities:

• 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.
• Technical development work for upcoming Data Quality initiatives
• Collaborate with internal and external stakeholders to understand business needs and translate them into analytical solutions.
• 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
• Assist in any projects as assigned

Job Requirements:

• Degree in Data/Business IT and related with at least 2-4 years relevant experience in project/time management experience
• Mandatory Skills: SQL (Query, Table Creation), Qlik dashboard visualization development
• Good to have: Python Scripting & Automation
• Good Stakeholder management and strong presentation skills in PowerPoint
• Have hands on experience to develop and amend data quality rules using Python or Informatica IDQ, in accordance to business requirements (good to have)
• 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

Jessie Hoe Huey Miin

CEI Reg. No.: R

EA: 99C4599

Location:
Raffles Place
Duration:
12 months contract
Working Hours:
9AM to 6.30PM Monday to Thursday, and 9AM to 5.30PM Friday with 1 Hour meal break
Salary:
Up to $6000
Job Responsibilities:
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.
Technical development work for upcoming Data Quality initiatives
Collaborate with internal and external stakeholders to understand business needs and translate them into analytical solutions.
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
Assist in any projects as assigned
Job Requirements:
Degree in Data/Business IT and related with at least 2-4 years relevant experience in project/time management experience
Mandatory Skills:
SQL (Query, Table Creation), Qlik dashboard visualization development
Good to have:
Python Scripting & Automation
Good Stakeholder management and strong presentation skills in PowerPoint
Have hands on experience to develop and amend data quality rules using Python or Informatica IDQ, in accordance to business requirements (good to have)
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
Jessie Hoe Huey Miin
CEI Reg. No.: R
EA: 99C4599
#J-18808-Ljbffr

As the Data Governance & Catalog Lead, you will report to the Senior Director of Digital and play a pivotal role in shaping how enterprise data is cataloged, governed, and leveraged across an industrial/manufacturing environment. You will establish stewardship frameworks and governance policies in four critical areas:

• Data catalog and lineage

• Data quality measures and continuous improvement roadmap

• Domain-specific data councils and retention policy

• Business process alignment with IT, business users, data councils, and digital teams

You will also represent the function in the company-wide Global Data Council, ensuring alignment with enterprise data strategy.

• Identify functional data champions, form domain-specific data councils, and develop an inventory of Critical Data Elements (CDEs) .
• Develop and maintain a data catalog and lineage framework tailored to high-volume industrial/manufacturing data environments.
• Define and monitor data quality KPIs and thresholds , establishing escalation and remediation processes.
• Translate enterprise-wide data retention/custody policies into domain-specific rules, balancing compliance with value capture from AI/ML/Gen-AI use cases.
• Guide data scientists and use case teams in identifying data requirements, sources, and ensuring data quality, integrity, and security.
• Draft initial data architectures and governance solutions to enable scalable use case deployment.
• Partner with IT, engineering, and cross-functional stakeholders to optimize data architecture, infrastructure, and platforms for industrial data management.
• Lead, coach, and mentor the data stewardship and governance team, fostering a culture of ownership, collaboration, and continuous improvement.
• Stay updated on emerging trends in data governance, cataloging, and industrial digitalization , evaluating their business value for future use cases.

• Perform all activities in a safe and responsible manner, supporting Environmental, Health, Safety & Security requirements and programs.
• Champion diversity, equity, inclusion, belonging (DEIB), and the company's ESG vision and goals.

• Bachelor's degree in Computer Engineering, Computer Science, Information Technology, or a related engineering field.
• Minimum of 6 years' experience in data management, governance, or analytics, within manufacturing, industrial, or engineering environments .
• Proven track record of leading teams and driving data management initiatives in operational/engineering contexts.
• Strong understanding of data governance principles, cataloging, lineage, and data quality management .
• Experience with data analytics platforms and tools.
• Knowledge of data security standards and regulatory requirements relevant to industrial/engineering data.
• Excellent leadership, communication, and stakeholder management skills.

• Master's degree in Computer Engineering, Computer Science, Information Technology, or related field.
• Project Management certification or equivalent.

Quality Data Analyst (Office hours, 5 days work week) #HJG
Responsibilities
Conduct post-market surveillance analysis and supplier performance reporting across the APAC region.
Maintain and support the quality management system in compliance with relevant standards and regulatory requirements.
Perform supplier performance trending and manage relevant reporting systems.
Analyze quality data, collate insights, and present findings to stakeholders and leadership teams.
Document and manage configuration changes for products and bills of materials (BOM).
Implement continuous improvement initiatives and ad-hoc projects assigned by management.
Qualifications
Minimum educational qualification: Diploma or Degree in Engineering or related field
Full training will be provided
Strong communication and interpersonal skills for presenting data and reports to leadership
Proficient in Microsoft Office, PowerBI, and Minitab
Ability to manage competing priorities, work independently, and maintain attention to detail
#J-18808-Ljbffr

Company description:

SMRT Corporation Ltd is a public transport service provider. Our primary business is to manage and operate train services on the North-South Line, East-West Line, the Circle Line, the Thomson-East Coast Line and Bukit Panjang Light Rail Transit. This is complemented by our bus, taxi and private hire vehicle services.

Our core values are Respect, Integrity, Safety and Service, and Excellence. We are committed to provide safe, reliable and comfortable service for all our commuters.

Job description:

Job Purpose

As a Manager of Data Governance in SMRT, you will be tasked to design and implement corporate data governance strategy and framework. You play a key role in implementing governance activities to ensure the company has a good data foundation on which trusted information that can be used for critical business processes, decision making and accounting to meet overall business needs.

Responsibilities

• Define and design organisation's data management and governance strategy.
• Implementation of data governance policies and develop standard operating procedures.
• Initiate data governance activities to ensure alignment and effective implementation across Business Groups.
• Review data processing architecture and data sharing practice.
• Collaborate with stakeholders to ensure a common understanding of data governance and advocate data management practices.
• Serve as a liaison and provide consultation to assist business units in identifying and setup of critical data elements.
• Establish and govern an enterprise data governance implementation roadmap.

Qualifications & Work Experience

• Bachelor's degree and above in Analytics, Information Systems Management, Computer Science or related fields.
• Minimum 5 years of experience in data governance.
• Prior experience in implementing data governance framework.
• Good knowledge of the overall governance framework, including operating model, data governance, data management, data security, data quality and data architecture.
• Good understanding of metadata management, reference data management, master data management, and data quality.

Skills

• Project management
• Understanding of data governance tools
• Knowledge in data governance principles
• Proficient with data engineering methods and technologies, Azure Cloud proficiency will be an advantage
• Experience in working in a diverse organisation and across business processes
• Excellent written and oral communication skills

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize, and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are seeking an experienced Data Governance Expert to join our team and lead data governance initiatives for our customers. The ideal candidate will have a strong background in data governance implementation, including expertise in data quality, data security, data management, and data sharing. Experience with data governance tools such as Alation and Azure Purview is highly desired. Prior experience in Data Engineering is also required.

Your key responsibilities:

• Define data governance strategies, policies, and procedures.
• Define and enforce data governance standards, ensuring data quality, consistency, and accuracy throughout the data lifecycle.
• Develop data governance frameworks and guidelines, including data classification, data ownership, and data stewardship.
• Provide implementation guidance on data quality initiatives, including establishing data quality standards, conducting data profiling, and defining data quality rules and metrics.
• Ensure data security and privacy compliance by providing implementation guidance on appropriate access controls, data classification protocols, and data protection measures.
• Design data management processes, including data identification, metadata management, data lineage, and data cataloging.
• Define data sharing and collaboration across teams and departments, ensuring data access, usability, and proper data sharing agreements.
• Evaluate, select, and implement data governance tools and technologies, such as Alation and Azure Purview, to support data governance initiatives and enhance data management capabilities.
• Provide guidance and training to business users and stakeholders on data governance best practices, policies, and procedures.
• Stay updated on industry trends, standards, and regulatory requirements related to data governance and recommend appropriate modifications to existing policies and practices.

To qualify for the role, ideally, you should:

• 3+ years of experience in data analytics or data governance
• Bachelor's degree in Computer Science, Information Management or related field.
• Prior experience in a data governance or data management role, with a focus on data quality, metadata management, and data stewardship.
• Strong conceptual knowledge of Business Intelligence, Data Warehousing, and Master Data Management.
• Excellent communication, presentation, and interpersonal skills.
• Strong organizational skills and attention to detail.
• Proficient in relevant data governance tools and applications.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you'll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.

• Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.

• Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.

• Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It's yours to build.

Apply now.