204 Data Stewardship jobs in Singapore

The Calibration Data Coordinator role involves ensuring the accuracy and integrity of calibration and maintenance data, updating and verifying key records, and supporting the team in maintaining compliance with industry standards.

• Data Management: Verify calibration and maintenance data accuracy within our system against commissioning protocols.
• Work Order Review: Review calibration work orders to ensure accurate documentation and up-to-date information.
• Quality Assurance: Check calibration records for completeness and accuracy across all entries.
• Collaboration: Partner with cross-functional teams to resolve discrepancies in calibration or maintenance data promptly.
• Documentation Support: Maintain comprehensive and organized documentation for calibration and maintenance activities, ensuring compliance with internal auditing procedures.

The ideal candidate will possess excellent analytical skills, strong attention to detail, and a proven track record of delivering high-quality results under tight deadlines. They must also be able to effectively communicate complex technical information to both technical and non-technical stakeholders.

Required Skills:

• Strong understanding of data management principles and best practices.
• Excellent analytical and problem-solving skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.

Benefits:

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• A dynamic and supportive work environment.

Why Join Our Team?

We are committed to providing our employees with the resources and support they need to succeed. If you are a motivated and talented individual who is passionate about delivering exceptional results, we encourage you to apply for this exciting opportunity.

We are seeking a dynamic and versatile Data Quality & Enablement Analyst to play a dual-critical role. This unique position sits at the intersection of the data engineering and business intelligence functions. You will be the guardian of the data integrity in Snowflake and the champion who empowers business teams to leverage Tableau for maximum impact. If you are a technical expert who also loves teaching, coaching, and driving data literacy, this is the perfect role for you.

Data Quality & Technical Validation (50%):

• Design, develop, and execute comprehensive test cases to validate data ingestion and transformation logic within the Snowflake data platform.
• Perform end-to-end data validation using advanced SQL, comparing data between source systems (e.g., PostgreSQL) and the target Snowflake environment to ensure accuracy and consistency.
• Validate and quality-check Snowflake stored procedures and complex SQL scripts used for ETL/ELT processing.
• Develop and utilize Python scripts for automated data comparison, test utilities, and process automation.
• Utilize JIRA to meticulously manage test cycles, track defects, and report on testing progress and quality metrics.

Tableau Coaching & Business Enablement (50%):

• Act as a Tableau Coach and trusted advisor to business teams, partnering with them to identify and implement high-impact use cases that enhance decision-making and operational efficiency.
• Design, develop, and deliver engaging and comprehensive Tableau training programs, including bootcamps, workshops, and hands-on sessions for diverse user groups, from beginners to citizen developers.
• Provide ongoing one-on-one coaching and support to foster self-sufficiency and innovation in data exploration and visualization.
• Champion data literacy initiatives across the organization, enabling users to confidently explore, interpret, and communicate data-driven insights.
• Maintain, refresh, and optimize enterprise Tableau dashboards to ensure they are accurate, relevant, and aligned with evolving business objectives.
• Conduct User Acceptance Testing (UAT) with business users to validate new dashboard functionality and usability.

Mandatory Requirements:

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field.
• 3-6 years of professional experience in a data-focused role, with proven expertise in Tableau and BI tools.
• Strong proficiency in SQL for data manipulation, validation, and analysis.
• A basic understanding of Snowflake data warehouse architecture and scripting (SQL, stored procedures).
• Excellent analytical, problem-solving, and root-cause analysis skills.
• Outstanding verbal and written communication skills, with a demonstrated ability to collaborate effectively with both technical and non-technical stakeholders.

Preferred Qualifications:

• Experience working on projects involving Snowflake or similar cloud data platforms (e.g. BigQuery, Redshift, Databricks).
• Exposure to other BI and data visualization tools such as Power BI or Qlik.
• Familiarity with AI tools and frameworks; experience supporting Gen-AI enablement initiatives is a significant plus.
• Hands-on experience with JIRA for task and defect management.
• Proficiency in using Python for data scripting, automation, or testing.

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.

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.

We are seeking a highly skilled Data Quality Assurance Specialist to join our team. The ideal candidate will have a strong background in data analysis and quality control, with excellent communication and problem-solving skills.

• To gather, analyze and report laboratory data from various sources, including test results, instrument data, and quality control records.
• To evaluate data quality, identify potential issues, and implement corrective actions to ensure accuracy and reliability.
• To analyze data to identify trends, patterns, and potential areas for improvement in regional laboratory processes.
• To prepare reports and presentations summarizing data analysis findings and recommendations for improvement.
• To collaborate with managers to implement process improvements based on data analysis findings.

• Ability to work under pressure
• Proficient in Microsoft Excel
• Strong knowledge of quality control and assurance principles
• Data analysis and management skills
• Attention to detail and ability to maintain high levels of accuracy
• Excellent communication and teamwork skills

• The opportunity to work in a dynamic and fast-paced environment
• A competitive salary and benefits package
• Ongoing training and development opportunities

This role requires the ability to work independently and as part of a team. You will be working in a laboratory setting and may be required to lift heavy equipment or spend long periods of time standing.

Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.
Environmental, Social, and Governance (ESG) data is increasingly crucial for our clients – providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging risks and opportunities. At Bloomberg, ESG data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products.
Our Team:
As a team, we are responsible for managing and enhancing ESG-related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary scores. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients integrate ESG risk and opportunity analysis into their workflows.
The Role:
The Sustainable Finance Data team is looking for a highly motivated individual with a passion for sustainable finance, ESG data, quality, and technology to strengthen our data products by driving the implementation of robust data quality strategies and assurance practices. As a Senior Data Management Professional, you will help develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations. You will apply your problem-solving skills to design and refine quality control processes, ensure data integrity, and support automation of validation workflows to scale effectively. Additionally, you will measure and articulate the impact of your initiatives using business intelligence tools and data quality metrics. This role offers the opportunity to lead global quality initiatives, collaborate with cross-functional teams, and mentor junior colleagues developing in data quality and stewardship.
You’ll need to have:
Excellent written and verbal language proficiency in English and Korean as you will cover Korean content
A BA/BS degree or higher in Computer Science, Mathematics, Finance, Economics, Environmental Science, or a related field—or equivalent professionalqualifications
4+ years of experience in data quality management, quality assurance, or data governance within the finance or technology industry
Demonstrated experience developing data quality metrics, reporting frameworks, and governance processes as part of larger data architecture initiatives
Demonstrated knowledge of data management principles, including data modeling, ETL processes, and workflow design
Proficiency in data analysis and profiling using tools such as Python, R, SQL, and BI platforms, with the ability to identify data quality issues and generate actionable insights
Foundational understanding of statistics and the ability to interpret data to inform business decisions and craft compelling narratives
Excellent written and verbal communication skills, strong attention to detail, and effective problem-solving abilities
Proven ability to manage multiple global projects in parallel and collaborate effectively with cross-functional stakeholders
A strong ability to combine technical skills with business insight to improve data quality and operational outcomes
Demonstrated continuous career growth within an organisation
We’d love to see:
Strong knowledge and understanding of the Sustainable Finance market and sustainability related topics, with preference for experience working with a range of disclosure frameworks and standards, including but not limited to TCFD, ISSB, GRI
Experience profiling datasets and coming up with necessary requirements
Good understanding of data modeling concepts
Experience manipulating and wrangling large datasets
Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is committed to improving the communities, cities and countries in which we work, and we support various initiatives including hiring and developing local talent. So, you'll need to have legal authorisation to work full-time in Singapore, without Bloomberg sponsoring your work authorization, to be considered for this role.
The data department at Bloomberg is pretty much what it sounds like. They are .
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We are seeking a dynamic and versatile Data Quality & Enablement Analyst to play a dual-critical role. This unique position sits at the intersection of the data engineering and business intelligence functions. You will be the guardian of the data integrity in Snowflake and the champion who empowers business teams to leverage Tableau for maximum impact. If you are a technical expert who also loves teaching, coaching, and driving data literacy, this is the perfect role for you.

Data Quality & Technical Validation (50%):

• Design, develop, and execute comprehensive test cases to validate data ingestion and transformation logic within the Snowflake data platform.
• Perform end-to-end data validation using advanced SQL, comparing data between source systems (e.g., PostgreSQL) and the target Snowflake environment to ensure accuracy and consistency.
• Validate and quality-check Snowflake stored procedures and complex SQL scripts used for ETL/ELT processing.
• Develop and utilize Python scripts for automated data comparison, test utilities, and process automation.
• Utilize JIRA to meticulously manage test cycles, track defects, and report on testing progress and quality metrics.

Tableau Coaching & Business Enablement (50%):

• Act as a Tableau Coach and trusted advisor to business teams, partnering with them to identify and implement high-impact use cases that enhance decision-making and operational efficiency.
• Design, develop, and deliver engaging and comprehensive Tableau training programs, including bootcamps, workshops, and hands-on sessions for diverse user groups, from beginners to citizen developers.
• Provide ongoing one-on-one coaching and support to foster self-sufficiency and innovation in data exploration and visualization.
• Champion data literacy initiatives across the organization, enabling users to confidently explore, interpret, and communicate data-driven insights.
• Maintain, refresh, and optimize enterprise Tableau dashboards to ensure they are accurate, relevant, and aligned with evolving business objectives.
• Conduct User Acceptance Testing (UAT) with business users to validate new dashboard functionality and usability.

Mandatory Requirements:

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field.
• 3-6 years of professional experience in a data-focused role, with proven expertise in Tableau and BI tools.
• Strong proficiency in SQL for data manipulation, validation, and analysis.
• A basic understanding of Snowflake data warehouse architecture and scripting (SQL, stored procedures).
• Excellent analytical, problem-solving, and root-cause analysis skills.
• Outstanding verbal and written communication skills, with a demonstrated ability to collaborate effectively with both technical and non-technical stakeholders.

Preferred Qualifications:

• Experience working on projects involving Snowflake or similar cloud data platforms (e.g. BigQuery, Redshift, Databricks).
• Exposure to other BI and data visualization tools such as Power BI or Qlik.
• Familiarity with AI tools and frameworks; experience supporting Gen-AI enablement initiatives is a significant plus.
• Hands-on experience with JIRA for task and defect management.
• Proficiency in using Python for data scripting, automation, or testing.

Overview
INSEAD is seeking an ETL Project Manager (Talend) to join our Digital department. This is a full-time, short term (6 months) contract position based at our Asia Campus in Singapore or Europe France in Fontainebleau, France. A hybrid working model is in place – 3 days on campus, 2 days from home.
The Digital department at INSEAD supports the school's global operations by delivering cutting-edge technological solutions that enhance teaching, research, and administrative functions. It ensures seamless integration of digital tools and infrastructure across all campuses, fostering innovation and operational efficiency.
Your role within the team
Project delivery: Manages the entire project lifecycle from assessing the business problem, through definition, detailed planning, implementation and delivery while balancing the 3 dimensions of a project which are scope/quality, cost/resources and schedule/timeline.
Proposal & Planning: proposes one or several well-documented, if applicable, financially established solutions clearly outlining the pros and cons of each in use cases. Compiles status reports on the various projects.
Communication: facilitates seamless communication with key stakeholders along the progress of the project and ensures they can make well-informed decisions. Organizes and structures the project with clear milestones, meetings, workshops, collaboration tools and appropriate communication channels and processes. Security and data: ensures to always follow and enforces INSEAD security policies and practices through the project he/she manages. Each project should also be considering of the data usage.
Relationship management: cultivates strong, collaborative relationships between external and internal stakeholders, including Digital departments, across diverse cultures and INSEAD campuses; fostering trust, cooperation among all contributors and facilitates healthy conversations.
Stakeholder engagement: Acts as a reliable key contact, shares knowledge, gives regular updates, provides guidance and is able to recommend solutions across multiple projects and business areas.
Standards/Innovation: respects all relevant INSEAD standards (development, CI .) in his/her activities, under special application of all state-of-the-art technical and ergonomic design standards. Proposes new creative approaches based on INSEAD strategy and commitments.
Qualifications
Bachelor's or Master's Degree in Information Systems/Computer Science or equivalent.
Certificate: PMP or Scrum Master.
More than 5 years of Project Management experience.
Exposure working in a Data Engineering environment – data integration, ETL, data modeling.
Excellent written and oral communication skills.
Tools: Jira and Talend Open Studio for Data Integration.
Responsibilities
Project delivery: Manages the entire project lifecycle from assessing the business problem, through definition, detailed planning, implementation and delivery while balancing the 3 dimensions of a project which are scope/quality, cost/resources and schedule/timeline.
Proposal & Planning: proposes one or several well-documented, if applicable, financially established solutions clearly outlining the pros and cons of each in use cases. Compiles status reports on the various projects.
Communication: facilitates seamless communication with key stakeholders along the progress of the project and ensures they can make well-informed decisions. Organizes and structures the project with clear milestones, meetings, workshops, collaboration tools and appropriate communication channels and processes. Security and data: ensures to always follow and enforces INSEAD security policies and practices through the project he/she manages. Each project should also be considering of the data usage.
Seniority level
Associate
Employment type
Temporary
Job function
Human Resources
Industries
Higher Education
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