339 Data Quality jobs in Singapore
Data Quality Specialist
Posted today
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Job Description
As a detail-oriented and analytical professional, you will play a key role in ensuring data accuracy, consistency, and reliability across various employee information records within our organization.
Job DescriptionWe are seeking a meticulous individual to support a data integrity and system enhancement initiative. The successful candidate will have the opportunity to work closely with stakeholders to identify and resolve data gaps or discrepancies.
The ideal candidate will have experience working with HR systems and data management, preferably involving Workday. A Bachelor's Degree in Business, Human Resource, Information Technology, or a related discipline is required. Strong attention to detail, good analytical ability, and effective written and verbal communication skills are essential for this role.
In this position, you will be responsible for performing comprehensive data cleaning and reconciliation in Workday, focusing on employee information across multiple data fields. You will also verify employee information through direct engagement with staff and cross-referencing records with source documents.
Key Responsibilities- Perform comprehensive data cleaning and reconciliation in Workday, focusing on employee information across multiple data fields.
- Verify employee information through direct engagement with staff and cross-referencing records with source documents.
- Identify and resolve data gaps or discrepancies.
- Bachelor's Degree in Business, Human Resource, Information Technology, or a related discipline.
- At least 1 year of relevant working experience, preferably involving HR systems or data management.
- Experience with Workday will be an advantage.
- Proficient in Microsoft Excel and comfortable working across multiple IT platforms.
- Strong attention to detail, good analytical ability, and effective written and verbal communication skills.
This role offers the opportunity to work in a collaborative environment and contribute to the enhancement of data quality and system reliability. If you enjoy working with data and thrive in a dynamic environment, we invite you to apply.
Enterprise Data Quality Analyst
Posted today
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Job Description
RecruitFirst if hiring You will be outsourced to:
Location: Central
Working Hours:Mon- Fri: 9am to 630pm
Salary: Up to $6,000 per month + bonus
Duration: 1 year contract, subject to extension or conversion
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)
Requirements:
- Bachelor's degree in Computer Science, Information Systems, Business Analytics, or related fields
- Prior experience in data quality, data analytics, or banking/financial services is an advantage
Mandatory Skills:
SQL (Query, Table Creation), Qlik dashboard visualization development
- Stakeholder management skills
Strong presentation skills in PowerPoint & project/time management experience
Good to have:
Python Scripting & Automation
Experience with Informatica IDQ
Singaporeans only.
Intern, Data Quality, MRSD
Posted today
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Job Description
Ministry of Manpower
Internship
Closing on 15 Sep 2025
What the role is
Project title: Bringing data to life with visualization.
Project Overview: The department conducts many surveys throughout the year to collect key labour market indicators. With the large amount of data collected via surveys, there is a need for effective data validation and consistency checks to ensure a certain level of data quality.
What you will be working on
The interns will assist with python code streamlining, survey data exploration, alternative data source exploration and maintenance of dashboards for MRSD's statistical releases and analysis.
What we are looking for
- Python and R
Learning Outcomes: - Gain hands-on experience in Python programming and code optimization
- Develop proficiency in data analysis and visualization techniques
- Acquire skills in handling and processing survey data
- Develop ability to explore and evaluate alternative data sources
- Enhance problem-solving skills through data exploration
- Understand data quality assessment and validation techniques
About Ministry of Manpower
Championing Human Potential for a Thriving Singapore
Singaporeans are at the heart of what we do. The Ministry of Manpower (MOM) empowers our people and fosters a thriving, inclusive workforce that drives Singapore's growth and prosperity. By working closely with our tripartite partners, industry and community stakeholders, we strive to create workforce and workplace policies that foster resilience, adaptability, and a bright future for a thriving Singapore.
As an MOM officer, you will be part of this meaningful mission, contributing across diverse and impactful areas - from shaping forward-looking and effective manpower policies and strengthening industrial relations, to enhancing workplace safety standards and ensuring balanced local and foreign workforce regulations. Here at MOM, we are committed to creating an inclusive experience not just for our national workforce, but also for our officers who work tirelessly to champion human potential for a thriving Singapore.
About your application process
This job is closing on 15 Sep 2025.
If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Ministry of Manpower or the wider Public Service.
Manufacturing Data Quality Leader
Posted today
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Job Description
Are you looking for a challenging role where you can make a real impact? This position offers the opportunity to develop and implement stewardship and governance policies in key areas of manufacturing data, ensuring high-quality data is available for business decisions.
In this role, you will be responsible for:
- Data Stewardship: Develop and implement policies for manufacturing data catalog and lineage, data quality measures, domain-specific data councils, and retention policy.
- GlobalFoundries Data Council: Participate in the GlobalFoundries data council, working with cross-functional teams to ensure data quality and integrity.
You will work closely with stakeholders across multiple sites to optimize data architecture infrastructure and platforms for manufacturing data management and analysis. This includes partnering with GFIT to evaluate emerging trends and advancements in data management and digital manufacturing technologies.
We are seeking an experienced professional who can lead by example, fostering a culture of ownership, collaboration, innovation, and growth mindset within the manufacturing data steward and governance team. If you have excellent leadership skills, a strong background in data governance, and experience with data quality initiatives, we encourage you to apply.
This role requires strong analytical and problem-solving skills, with the ability to communicate complex ideas effectively. You should be able to stay up-to-date on emerging trends and advancements in data management and digital manufacturing technologies. Additionally, you must be able to perform all activities in a safe and responsible manner and support Environmental Health Safety & Security requirements and programs.
If you are passionate about data governance and want to make a meaningful contribution to our organization, please submit your application. We look forward to hearing from you!
Junior Data Analysis
Posted 18 days ago
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Job Description
Overview
You will be part of the Advisory Services team that promotes upskilling and career development and lifelong learning to various segments of individuals and enterprises through physical and digital touchpoints. Your role will involve managing and analysing data to continuously improve the quality of skill and career advisory. You will need to leverage insights from trends, performance metrics and stakeholder feedback to continually ensure that Advisory Services maintain standards of excellence.
Our ideal candidate is someone with a passion for data analysis and stakeholder engagement.
Core ResponsibilitiesData Management & Analysis
- Lead or support data-driven quality improvement projects aimed at enhancing advisory services
- Liaise with internal and external stakeholders on data governance matters to ensure data accuracy, consistency, and compliance with standards
- Review and manage case entries and other data sources to ensure integrity and usability for insights generation
- Conduct data analysis to identify trends and insights
- Prepare monthly reports and presentations for internal and/or external stakeholders on identified trends and insights
- Work with other team members to act on insights to improve advisory services continuously
Other
- Support event deployment on an ad-hoc basis
- Handle CRM (Client Relationship Management) cases to address clients' upskilling concerns on an ad-hoc basis
- Coordinate call assignments for Skills Ambassadors
- Perform all other duties assigned by supervisor or manager
- 1 to 3 years of relevant experience
- Strong organisational and data management skills, with the ability to manage monthly reporting
- Strong interest in data analysis
- Comfortable working with large datasets data visualisation tools (Tableau/ PowerBI) and large language models
- Creative skills to develop visually appealing materials
- Proficiency in using Microsoft Office, especially Excel and PowerPoint, and design software for creating materials
- Possess domain knowledge of the CET landscape and labour market (e.g. in-demand skills and job roles) to contextualize and support relevant data analysis will be an advantage
- Ability to work independently and as part of a team to meet deadlines
- Excellent business writing and communication skills to collaborate with various stakeholders
- Ability to converse in Mother Tongue is an advantage
- Experience in service excellence or CRM will be welcomed
Candidates who do not have the required qualification or relevant experience are welcome to apply.
Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.
Please note that only shortlisted candidates will be notified.
#J-18808-LjbffrData Analysis Engineer
Posted today
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Job Description
You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.
Job Description
- Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
- Clean, transform, and analyse data to extract valuable insights.
- Use statistical methods to identify trends, patterns, and correlations in the data.
- Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
- Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
- Write and optimize code to automate data collection, processing, and analysis tasks.
- Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
- Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.
Requirements
- Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
- Experience with Python and R for data analysis, statistical modelling, and automation tasks.
- Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
- Strong understanding of statistical concepts
- Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
- Bachelor's degree or higher in IT-related, Statistical, or Mathematical.
Data Analysis Engineer
Posted today
Job Viewed
Job Description
• Remuneration bonuses package
• Conducive working environment
• Promising career prospect and advancement
Job Scopes:
- Design and implement data pipelines to extract, transform, and load (ETL) data from various sources to enable real-time visibility and decision-making
- Automate data cleansing and validation processes to improve overall data quality
- Develop and maintain dashboards and reports using business intelligence tools
- Establish data standards, governance frameworks, and best practices for data management
- Identify data quality issues and implement solutions to enhance reliability
Job Requirements:
- Diploma or degree qualification
- 3-5 years of related experience
- Microsoft Office, SQL, Power BI, Oracle
- Analytical and problem-solving skills
- Good communication and collaboration abilities
*** Sincere & Interested applicants, kindly forward your Updated resume (word doc format) to and CC: Allan (R **
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Manager, Data Analysis
Posted today
Job Viewed
Job Description
You will be part of the Advisory Services team that promotes upskilling and career development and lifelong learning to various segments of individuals and enterprises through physical and digital touchpoints. Your role will involve managing and analysing data to continuously improve the quality of skill and career advisory.You will need to leverage insights from trends, performance metrics and stakeholder feedback to continually ensure that Advisory Services maintain standards of excellence.
Our ideal candidate is someone with a passion for data analysis and stakeholder engagement.
Core Responsibilities
Data Management & Analysis
- Lead or support data-driven quality improvement projects aimed at enhancing advisory services
- Liaise with internal and external stakeholders on data governance matters to ensure data accuracy, consistency, and compliance with standards
- Review and manage case entries and other data sources to ensure integrity and usability for insights generation
- Conduct data analysis to identify trends and insights
- Prepare monthly reports and presentations for internal and/or external stakeholders on identified trends and insights
- Work with other team members to act on insights to improve advisory services continuously
Other
- Support event deployment on an ad-hoc basis
- Handle CRM (Client Relationship Management) cases to address clients' upskilling concerns on an ad-hoc basis
- Coordinate call assignments for Skills Ambassadors
- Perform all other duties assigned by supervisor or manager
Requirements
- 1 to 3 years of relevant experience
- Strong organisational and data management skills, with the ability to manage monthly reporting
- Strong interest in data analysis
- Comfortable working with large datasets data visualisation tools (Tableau/ PowerBI) and large language models
- Creative skills to develop visually appealing materials
- Proficiency in using Microsoft Office, especially Excel and PowerPoint, and design software for creating materials
- Possess domain knowledge of the CET landscape and labour market (e.g. in-demand skills and job roles) to contextualize and support relevant data analysis will be an advantage
- Ability to work independently and as part of a team to meet deadlines
- Excellent business writing and communication skills to collaborate with various stakeholders
- Ability to converse in Mother Tongue is an advantage
- Experience in service excellence or CRM will be welcomed
Candidates who do not have the required qualification or relevant experience are welcome to apply.
Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.
Please note that only shortlisted candidates will be notified.
Data Analysis Expert
Posted today
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Job Description
Immerse yourself in the Product Search and Personalisation Team, which focuses on advancing scalable machine learning and experimentation frameworks that power search relevance, ranking, and recommendations across our platform. By leveraging cutting-edge analytics and statistical methods, we continuously optimize how users connect with merchants, services, and content.
Job Role
In this role, you will collaborate closely with product managers, data scientists, engineers, and product designers to define hypotheses, design experiments, and deeply understand user needs, pain points, and business goals. You will act as a strategic partner throughout the product development lifecycle - offering analytical support from ideation to execution-and help prioritise features through data-driven insights. You will be based in Singapore and reporting to Head of Analytics.
Critical Tasks
You will be responsible for designing and running A/B tests and quasi-experiments to evaluate the impact of product changes on key metrics like engagement, retention, and conversion. Analyze experiment results and generate actionable insights to guide product improvements. Conduct deep-dive user behaviour analyses using statistical techniques and machine learning to uncover trends and root causes. Translate complex data into clear, strategic recommendations for product enhancements. Build and maintain intuitive dashboards to track product and feature performance in real time. Visualize data effectively to highlight trends, anomalies, and opportunities, enabling data-driven decisions across teams.
Essential Skills
We are looking for someone with at least 3 years of experience in the product analytics space. Proficiency in SQL, Python, and R for handling large datasets is required. Advanced knowledge in statistical methodologies and machine learning to uncover insights is essential. Experience designing and implementing A/B tests and other experiment frameworks is necessary. Ability to analyse results to derive actionable insights is critical. Experience creating dashboards using tools like PowerBI for informed decision-making is desirable.
Data Analysis Engineer
Posted today
Job Viewed
Job Description
Job Description
- Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
- Clean, transform, and analyse data to extract valuable insights.
- Use statistical methods to identify trends, patterns, and correlations in the data.
- Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
- Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
- Write and optimize code to automate data collection, processing, and analysis tasks.
- Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
- Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.
- Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
- Experience with Python and R for data analysis, statistical modelling, and automation tasks.
- Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
- Strong understanding of statistical concepts
- Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
- Bachelor's degree or higher in IT-related, Statistical, or Mathematical.