423 Master Data Analyst jobs in Singapore

Arthrex, Inc. is a global medical device company and a leader in new product development and medical education in orthopedics. Join our talented team at a global medical device company focused on Helping Surgeons Treat Their Patients Better.
The main objective of the Master Data Analyst, APAC is to facilitate the creation and maintenance of high quality master data related to all Arthrex materials and customers for the Asia Pacific Region. By implementing and executing policies and procedures at the regional level to ensure master data meets global standards. This role plays an important part in protecting a key Arthrex asset: the master data that enables the company to share information, process transactions, plan and execute business operations globally.
Master Data Analyst serves as a liaison to the global Product Life Cycle Management, Procure to Purchase (PTP) and Order To Cash (OTC) process owners. Through these relationships, Master Data Analyst receives the tools, policies, procedure, training and on-going guidance necessary to ensure that the practices he/she is following at the Regional level are aligned with Global Master Data practices.
Master Data Analyst key stakeholders whom he/she will work on a regular basis
INC MDG (Master Data Governance): defines the organizational structure, policies, standards, ownership and metrics that are used to manage data.
Subsidiary Data Requestors: Functional Team members within the business or subsidiary-specific organization responsible for providing the source data of the master data needed in each country, e.g. country Demand Planners may provide material master data for locally purchased products (Retail), or product extension requests that is facilitated through APAC Master Data Management team.
Subsidiary Data Stewards: Local Regulatory, Operations, Customer Service, Finance, Sourcing and Distribution professionals who provide and use specific master data
Essential Duties and Responsibilities:
The main duties of the Master Data Analyst are: Data Administration, Data Stewardship, Product Lifecyle Management Facilitation and Process Improvements.
Data Administration includes those tasks necessary to set up and maintain the respective Master Data in the SAP system.
Facilitate the creation of new material master data submitted by the subs data requestors.
Perform costing run for the material within the region / plant.
Maintain and/or enrich other related data eg: Purchase Information Records, Source Lists, etc.
Create and/or amend customer master data after performing quality checks
Receive, analyze and implement requests for changes to material master and customer master data in cooperation with country data requestors and other country data stewards
Respond to requests from data users to analyze and help resolve data problems that may be causing down stream transactional issues
Maintain data cleanliness to ensure data integrity
Maintain the service level agreement agreed with subs data requestors and other subs data stewards
Data Stewardship includes setting up and maintaining the regional procedures necessary for creating and maintaining high quality data. They are:
Maintain and support strong working relationship with Subsidiary data requestors and other country data stewards
Measure and report on regional data quality and adherence to the service level agreement
Review existing processes and make recommendations to improve efficiency and accuracy, which adhering to the company processes
Coordinate with various key stakeholders, ie: quality, finance, to effectuate required attributes within material master for a smooth end to end transaction within SAP
Product Lifecycle Management (PLM) facilitation involves collaborating with commercial and Product Managers/Marketing to ensure that product lifecycle strategies are implemented timely and accurately in the ERP system. They are:
Establishing appropriate master data settings to support the new product ramp-up or phase-out strategies
Assist to speed products to market by planning for and streamlining material master data setup for new product launches
Facilitate the collection of relevant data to compile specific PLM strategies
Assist with or lead special projects, but not limited to Process Improvements, including presentations materials and other duties as assigned.
Education and Experience:
Bachelor's degree or equivalent experiences
Minimum of 5 years Master Data experience or related experiences within Supply Chain
Knowledge and Skill Requirements/Specialized Courses and/or Training:
Excellent analytical abilities and attention to details
Knowledge of how the multiple SAP Master Data impact the business
Good written and oral English language communication skills.
Ability to work well within a group environment.
Proficiency in any additional language is advantageous.
Machine, Tools, and/or Equipment Skills:
Intermediate to expert level Microsoft Excel
Good understanding of Microsoft Office Applications with a particular emphasis on mass data manipulation tools such as Excel (Pivot Tables, Macros and Vlookup)
Power BI and SAP R3 / HANA knowledge a MUST
All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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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.

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
Associate, Business Analyst (Master Data Management), Technology Group
Join to apply for the
Associate, Business Analyst (Master Data Management), Technology Group
role at
GIC
What will you do as a Business Analyst (Master Data Management)?
You will play a key role in delivering technical solution forming key project deliverables and milestones, which will shape the future of GIC applications performing trades, valuation, compliance, risk management, and reporting, while developing yourself professionally in the Financial Industry in the following areas:
Work on / with GIC’s mission critical applications supporting trade cycle and reporting:
Reference Data systems that manage securities, composites and portfolio constructs, as well as market data and analytics, across all public and private asset classes
Investment Book of Records systems that manage transactions, positions and valuations
Risk and performance management and reporting
Work in a transformation project team that practices agile product management principles, and test-driven development
Business analysis skills: You will interact closely with business stakeholders for requirement gathering, validation and prioritization, which helps you relate your technical solution design and deliverable to concrete business benefits
Partnership and collaboration: You will work closely with teammates and vendor partners both within and beyond the project team to deliver an integrated technical solution which works end-to-end
What makes you a successful candidate?
Bachelor’s Degree in Information Technology, Data Management or equivalent
Possesses strong analytical, problem solving, communication and interpersonal skills
Good team player who is keen to learn and able to work independently
Experience in investment data modelling, database design and data migration
Technical skills on ETL (extraction, transformation and loading) using SQL, event-driven messaging platform and programming language e.g. Python, Java are added advantage
Work at the Point of Impact
We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.
GIC is a Great Place to Work
At GIC, we believe sustainable high performance is driven by high expectations and a commitment to excellence, as well as empowerment and flexibility. As such, we currently operate under a hybrid model in which most employees spend 3-4 days in office and 1-2 days working from home each week. This balance allows us to preserve the ‘office as a hub’ for ideation, professional growth, and interpersonal connection, while giving our employees the flexibility to do their best work and be their best selves.
We are an equal opportunity employer
GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Please email at any point of the application or interview process if adjustments need to be made due to a disability.
Learn more about our Technology Group here: Our PRIME Values
PRIME stands for Prudence, Respect, Integrity, Merit and Excellence.
Seniority level
Associate
Employment type
Full-time
Job function
Project Management, Analyst, and Information Technology
Industries
Investment Management and Financial Services
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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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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
We’re not able to confirm real-time posting statuses here. If you’re viewing this description, please contact the employer for the latest information.
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Allegis Global Solutions is the exclusive Contingent HR services provider for one of the world's leading banks.

At Allegis Global Solutions we're proud to be the leader in global talent solutions. We draw upon decades of industry expertise to develop innovative tools, products, processes and strategies focused on outcome. Moreover, we're incredibly proud to have built a culture that empowers our people to make their mark while making deep connections that will last a lifetime. With our passion and culture for talent, we are truly transforming the way the World acquires talent.

Our Client is one of the world's most international banks with over 1,100 branches, offices and outlets in 67 countries. They operate in some of the world's most dynamic markets and have been for over 150 years. More than 90 per cent of their income and profits are derived from Asia, Africa and the Middle East. Their brand promise, Here for good, underlines their distinctive approach.

Job Summary:

Seeking a Data Governance & Platform Engineer to lead the enablement of Data Governance and Platform initiatives. This role will focus on the design, development, and deployment of Data Quality and Data Governance solutions.

Job Responsibilities

Framework Development:

• Define, document, and implement a scalable data governance framework, including strategies, policies, standards, and best practices.
• Establish data standards, best practices, and guidelines to ensure data quality, integrity, security, and regulatory compliance.

Data Quality and Integrity:

• Ensure data quality and integrity by defining and tracking KPIs, conducting regular data quality assessments, and implementing improvement plans.
• Monitor data integrity, resolve inconsistencies, and implement data validation and cleansing procedures.
• Develop and maintain data quality rules and integrate them with the Enterprise Governance tools.

Metadata Management:

• Define and implement data catalog capabilities and establish scalable metadata management practices.
• Catalog existing data sources, document data flow and transformation, and collaborate with data stewards to improve data lineage and metadata management.
• Utilize Dataplex for automated data discovery, curation, and management at scale.

Business Glossary and Data Dictionary:

• Define and maintain a business glossary to ensure consistent data terminology.
• Contribute to the development and maintenance of a comprehensive data dictionary.

Stakeholder Collaboration:

• Lead cross-functional collaboration with business units, IT teams, and senior leadership to promote data governance practices.
• Establish and oversee data stewardship programs, defining roles and responsibilities for data ownership.
• Engage and support data owners, providing guidance and ensuring accountability.

Monitoring and Reporting:

• Monitor and report on key data governance metrics and overall compliance.
• Define and track KPIs, monitor adherence to policies and regulatory requirements, and report on progress to senior management.
• Conduct data governance assessments and support internal and external audits.

Training and Support:

• Provide comprehensive training and ongoing support to employees on data governance principles, policies, and best practices.
• Develop and lead training and awareness programs.

Regulatory Compliance & Risk:

• Implement controls & ensure compliance with privacy/security regulations (e.g.,GDPR, CCPA,SOC ).
• Collaborate with Legal and Governance teams on data classification, access control, and support & prepare for internal and external data audits.

Platform Administration:

• Deploying, configuring, and maintaining GCP resources such as virtual machines, storage, networks, and databases.
• Implementing and managing security settings, access controls (IAM), and policies to protect sensitive data and ensure compliance.
• Monitoring system performance, optimizing resource utilization, and ensuring high availability and reliability of cloud-based applications and services.

Preferred Qualifications

• At least 8 years of experience in Data Governance & Data Quality implementation with bachelor's degree in computer science, Engineering, or related field.
• Strong expertise in Google Cloud Dataplex services and Familiarity with modern data governance platforms (e.g., Collibra, Alation, Atlan and Informatica CDGC)
• Proven experience in designing and deploying data management solutions using Google Cloud Dataplex, integrating data lakes, data warehouses, BI applications and Proficiency in programming languages such as Java, Python.
• Experience in data lineage, metadata management, and role-based access control (RBAC) within Dataplex.
• Experience on Reltio MDM and Any Data governance certifications are added advantage
• Solid understanding of cloud platforms (preferably Google Cloud) and AWS services.
• Hands-on experience in implementing data processing frameworks on GCP BigQuery and Google Cloud Storage.
• Familiarity with data processing frameworks like Apache Spark, Cloud Dataflow and experience with the Google Dataform, Apache Airflow, Tableau, Power BI and Looker
• Strong problem-solving skills and the ability to collaborate across technical and business teams.
• Excellent communication skills, both written and verbal.

The Data Governance Specialist will play a vital role in ensuring the effective management of data breach notification cases. This involves assessing situations, submitting reports, and supporting data and policy functions. The ideal candidate will have experience in data management/analysis and case handling, as well as proficiency in Microsoft Excel and familiarity with Tableau.

• Assess data breach notification cases and submit detailed reports
• Support data and policy functions to ensure compliance and best practices
• Prepare high-quality data for monthly and ad-hoc management reports
• Contribute to the implementation of a new case and data management system

• Experience in data analysis and case handling is highly desirable
• Proficiency in Microsoft Excel, including database creation and formula usage
• Familiarity with Tableau applications
• Excellent organizational skills and attention to detail