727 Master Data Analyst jobs in Singapore

MASTER DATA ANALYST

Job Description

Primary Job Function

Primary liaison between the businesses as it relates to the create/read/update/delete of master data throughout the enterprise. Works directly with the customers to support and resolve challenges related to the mastering of critical business data. Applies relevant principles to support projects and ongoing activities.Completes tasks which support business teams and assists in the development of business requirements to solve for master data related business problems. Leads department level initiatives or provides assistance to departmental managers on phases of larger projects. May assist in supporting business continuity, relationship management and business strategy.

Core Job Responsibilities

• Responsible for compliance with applicable Corporate and Divisional Policies and procedures.
• With general guidance / coordination from the master data managers, perform various master data Create/Read/Update/Delete responsibilities. Perform mandatory validations such as OCR Denied Party Screening, address verification and compliance verification. Responsible for communicating Master Data creates/changes to internal and external customers.
• Requires high degree of communicative ability due to multi-divisional and multi-functional issues. Required to participate in process improvement teams.
  Provide data analysis to verify/validate data and drill down to identify root causes.
• Understand the implications of master data as it relates to SAP and other business systems based on requirements. Leads, mentors and/or provides guidance to less experienced team members, where applicable, including guidance for troubleshooting escalated issues. Gather/document business requirements for Master Data initiatives.
• Develop and maintain a strong knowledge of key goals and operational processes with stakeholders to aid in process development and data analysis.
• Applies and executes standard strategic business theories, concepts and techniques and assists in the development of master data standards and procedures.
• Manages projects according to milestones and within budget constraints.

Position Accountability / Scope

• Establishes and maintains productive relationships with all levels throughout the organization and with external partners.
• Works with minimal management direction.
• Assists in monitoring technical and business support staff as it relates to projects.
• Responsible for compliance with applicable Departmental, Corporate, and Divisional Policies and Procedures. Must adhere to divisional business rules and processes set forth in Master Data SOP's and SLA's.
• Participates in business-critical Master Data initiatives. This includes advising on master data creates / changes when requested by divisional areas. Also, may participate in cross-functional process improvement teams. May be required to participate in division specific projects, testing, enhancements, or data verification.
• Failure to achieve results may result in business process delays and/or a duplicate effort caused by these errors. Errors could cause financial / business impacts to Abbott.
• Effectively utilize Abbott systems to maintain the integrity of master data. This includes all aspects of the Create/Read/Update/Delete process. Systems include AES, ECC, cApps, and various ancillary systems.
• Independently develops general approaches to the solution of problems which require application of basic project management principles and problem-solving skills. Work is reviewed to determine if overall results and objectives have been achieved.
• Determines and develops approach and solutions to problem.
• Medium/high complexity work.

Minimum Education

• B.A./B.S. degree in Business, Accounting, Information Technology or Finance preferred.

Minimum Experience / Training Required

• Minimum 4-6 years’ experience with Master Data Management exposure is preferred.
• SAP experience along advanced SQL, MS Access and Excel skills are strongly preferred.
• Business Analyst along with Data Analytics experience is a plus.
  

MASTER DATA ANALYST

Job Description

Primary Job Function

Primary liaison between the businesses as it relates to the create/read/update/delete of master data throughout the enterprise. Works directly with the customers to support and resolve challenges related to the mastering of critical business data. Applies relevant principles to support projects and ongoing activities.Completes tasks which support business teams and assists in the development of business requirements to solve for master data related business problems. Leads department level initiatives or provides assistance to departmental managers on phases of larger projects. May assist in supporting business continuity, relationship management and business strategy.

Core Job Responsibilities

• Responsible for compliance with applicable Corporate and Divisional Policies and procedures.
• With general guidance / coordination from the master data managers, perform various master data Create/Read/Update/Delete responsibilities. Perform mandatory validations such as OCR Denied Party Screening, address verification and compliance verification. Responsible for communicating Master Data creates/changes to internal and external customers.
• Requires high degree of communicative ability due to multi-divisional and multi-functional issues. Required to participate in process improvement teams.
  Provide data analysis to verify/validate data and drill down to identify root causes.
• Understand the implications of master data as it relates to SAP and other business systems based on requirements. Leads, mentors and/or provides guidance to less experienced team members, where applicable, including guidance for troubleshooting escalated issues. Gather/document business requirements for Master Data initiatives.
• Develop and maintain a strong knowledge of key goals and operational processes with stakeholders to aid in process development and data analysis.
• Applies and executes standard strategic business theories, concepts and techniques and assists in the development of master data standards and procedures.
• Manages projects according to milestones and within budget constraints.

Position Accountability / Scope

• Establishes and maintains productive relationships with all levels throughout the organization and with external partners.
• Works with minimal management direction.
• Assists in monitoring technical and business support staff as it relates to projects.
• Responsible for compliance with applicable Departmental, Corporate, and Divisional Policies and Procedures. Must adhere to divisional business rules and processes set forth in Master Data SOP's and SLA's.
• Participates in business-critical Master Data initiatives. This includes advising on master data creates / changes when requested by divisional areas. Also, may participate in cross-functional process improvement teams. May be required to participate in division specific projects, testing, enhancements, or data verification.
• Failure to achieve results may result in business process delays and/or a duplicate effort caused by these errors. Errors could cause financial / business impacts to Abbott.
• Effectively utilize Abbott systems to maintain the integrity of master data. This includes all aspects of the Create/Read/Update/Delete process. Systems include AES, ECC, cApps, and various ancillary systems.
• Independently develops general approaches to the solution of problems which require application of basic project management principles and problem-solving skills. Work is reviewed to determine if overall results and objectives have been achieved.
• Determines and develops approach and solutions to problem.
• Medium/high complexity work.

Minimum Education

• B.A./B.S. degree in Business, Accounting, Information Technology or Finance preferred.

Minimum Experience / Training Required

• Minimum 4-6 years’ experience with Master Data Management exposure is preferred.
• SAP experience along advanced SQL, MS Access and Excel skills are strongly preferred.
• Business Analyst along with Data Analytics experience is a plus.
  

MASTER DATA ANALYST

Job Description

Primary Job Function

Primary liaison between the businesses as it relates to the create/read/update/delete of master data throughout the enterprise. Works directly with the customers to support and resolve challenges related to the mastering of critical business data. Applies relevant principles to support projects and ongoing activities.Completes tasks which support business teams and assists in the development of business requirements to solve for master data related business problems. Leads department level initiatives or provides assistance to departmental managers on phases of larger projects. May assist in supporting business continuity, relationship management and business strategy.

Core Job Responsibilities

• Responsible for compliance with applicable Corporate and Divisional Policies and procedures.
• With general guidance / coordination from the master data managers, perform various master data Create/Read/Update/Delete responsibilities. Perform mandatory validations such as OCR Denied Party Screening, address verification and compliance verification. Responsible for communicating Master Data creates/changes to internal and external customers.
• Requires high degree of communicative ability due to multi-divisional and multi-functional issues. Required to participate in process improvement teams.
  Provide data analysis to verify/validate data and drill down to identify root causes.
• Understand the implications of master data as it relates to SAP and other business systems based on requirements. Leads, mentors and/or provides guidance to less experienced team members, where applicable, including guidance for troubleshooting escalated issues. Gather/document business requirements for Master Data initiatives.
• Develop and maintain a strong knowledge of key goals and operational processes with stakeholders to aid in process development and data analysis.
• Applies and executes standard strategic business theories, concepts and techniques and assists in the development of master data standards and procedures.
• Manages projects according to milestones and within budget constraints.

Position Accountability / Scope

• Establishes and maintains productive relationships with all levels throughout the organization and with external partners.
• Works with minimal management direction.
• Assists in monitoring technical and business support staff as it relates to projects.
• Responsible for compliance with applicable Departmental, Corporate, and Divisional Policies and Procedures. Must adhere to divisional business rules and processes set forth in Master Data SOP's and SLA's.
• Participates in business-critical Master Data initiatives. This includes advising on master data creates / changes when requested by divisional areas. Also, may participate in cross-functional process improvement teams. May be required to participate in division specific projects, testing, enhancements, or data verification.
• Failure to achieve results may result in business process delays and/or a duplicate effort caused by these errors. Errors could cause financial / business impacts to Abbott.
• Effectively utilize Abbott systems to maintain the integrity of master data. This includes all aspects of the Create/Read/Update/Delete process. Systems include AES, ECC, cApps, and various ancillary systems.
• Independently develops general approaches to the solution of problems which require application of basic project management principles and problem-solving skills. Work is reviewed to determine if overall results and objectives have been achieved.
• Determines and develops approach and solutions to problem.
• Medium/high complexity work.

Minimum Education

• B.A./B.S. degree in Business, Accounting, Information Technology or Finance preferred.

Minimum Experience / Training Required

• Minimum 4-6 years’ experience with Master Data Management exposure is preferred.
• SAP experience along advanced SQL, MS Access and Excel skills are strongly preferred.
• Business Analyst along with Data Analytics experience is a plus.
  

MASTER DATA ANALYST
Job Description
Primary Job Function
Primary liaison between the businesses as it relates to the create/read/update/delete of master data throughout the enterprise. Works directly with the customers to support and resolve challenges related to the mastering of critical business data. Applies relevant principles to support projects and ongoing activities.Completes tasks which support business teams and assists in the development of business requirements to solve for master data related business problems.Leads department level initiatives or provides assistance to departmental managers on phases of larger projects. May assist in supporting business continuity, relationship management and business strategy.
Core Job Responsibilities
Responsible for compliance with applicable Corporate and Divisional Policies and procedures.
With general guidance / coordination from the master data managers, perform various master data Create/Read/Update/Delete responsibilities. Perform mandatory validations such as OCR Denied Party Screening, address verification and compliance verification. Responsible for communicating Master Data creates/changes to internal and external customers.
Requires high degree of communicative ability due to multi-divisional and multi-functional issues. Required to participate in process improvement teams.
Provide data analysis to verify/validate data and drill down to identify root causes.
Understand the implications of master data as it relates to SAP and other business systems based on requirements. Leads, mentors and/or provides guidance to less experienced team members, where applicable, including guidance for troubleshooting escalated issues. Gather/document business requirements for Master Data initiatives.
Develop and maintain a strong knowledge of key goals and operational processes with stakeholders to aid in process development and data analysis.
Applies and executes standard strategic business theories, concepts and techniques and assists in the development of master data standards and procedures.
Manages projects according to milestones and within budget constraints.
Position Accountability / Scope
Establishes and maintains productive relationships with all levels throughout the organization and with external partners.
Works with minimal management direction.
Assists in monitoring technical and business support staff as it relates to projects.
Responsible for compliance with applicable Departmental, Corporate, and Divisional Policies and Procedures. Must adhere to divisional business rules and processes set forth in Master Data SOP's and SLA's.
Participates in business-critical Master Data initiatives. This includes advising on master data creates / changes when requested by divisional areas. Also, may participate in cross-functional process improvement teams. May be required to participate in division specific projects, testing, enhancements, or data verification.
Failure to achieve results may result in business process delays and/or a duplicate effort caused by these errors. Errors could cause financial / business impacts to Abbott.
Effectively utilize Abbott systems to maintain the integrity of master data. This includes all aspects of the Create/Read/Update/Delete process. Systems include AES, ECC, cApps, and various ancillary systems.
Independently develops general approaches to the solution of problems which require application of basic project management principles and problem-solving skills. Work is reviewed to determine if overall results and objectives have been achieved.
Determines and develops approach and solutions to problem.
Medium/high complexity work.
Minimum Education
B.A./B.S. degree in Business, Accounting, Information Technology or Finance preferred.
Minimum Experience / Training Required
Minimum 4-6 years’ experience with Master Data Management exposure is preferred.
SAP experience along advanced SQL, MS Access and Excel skills are strongly preferred.
Business Analyst along with Data Analytics experience is a plus.
#J-18808-Ljbffr

We are seeking an experienced Gen AI Accuracy Analyst to contribute to our organization's success.

The selected candidate will be responsible for ensuring the quality and accuracy of Gen AI use cases through comprehensive monitoring and analysis.

• Monitor and analyze Gen AI use cases to ensure accuracy and quality
• Develop and implement monitoring processes to track key metrics for Gen AI use cases
• Generate regular reports on Gen AI performance and accuracy
• Liaise with stakeholders to provide clear and insightful reports on Gen AI performance

To excel in this role, you should have a strong background in data quality, artificial intelligence, and analytics. You must also possess:

• Bachelor's degree in Computer Science, Data Science, or related field
• Excellent communication and stakeholder management skills
• Ability to work in a fast-paced environment

In return for your expertise, we offer a competitive salary and benefits package, ongoing training and development opportunities, and a collaborative and dynamic work environment.

Job Overview

The role of an Instrument Data Analyst is a key position within the firm's Reference Data Operations team. This team plays a vital part in ensuring the quality, accuracy, and timeliness of data. As an analyst, you will work closely with professionals across various departments to manage data quality and exceptions for reference data.

Responsibilities include:

• Supporting instrument reference data to ensure consistent delivery of high-quality data on time;
• Managing corporate action events related to instrument reference data across all asset classes, understanding the impact of market events on static data and triggering events;
• Providing subject matter expertise support to downstream teams and clients;
• Ensuring proper controls are in place to reduce financial risks, implementing procedures to enforce controls, and ensuring they are adhered to;
• Partnering and collaborating with other regions is required;
• Resolving client queries promptly and professionally;
• Contributing to ongoing developments and refinements of operational processes;

Requirements:

• At least a Bachelor's degree in Finance, Science, or Technology, or equivalent;
• Open to fresh graduates;
• Strong knowledge of market data vendors like Bloomberg and Refinitiv;
• Knowledge of industry activities, corporate actions, index tracking, and capital markets;
• Inquisitive and analytical mindset, challenges the status quo, strives for excellence while paying attention to risk involved;
• Ability to work independently and multitask in a fast-paced environment;
• Demonstrates ability to communicate effectively within a team and across departments;
• Strong analytical and problem-solving skills with attention to details to formulate effective solutions to address pain points and improve efficiency;
• As the team covers the Asia Pacific region, staggered shift work and working on public holidays is required;

Preferred qualifications, capabilities, and skills include prior experience in Financial Services, digital tools like Alteryx, JIRA, and Confluence, and good understanding of data management principles for financial services - governance, quality, storage, modeling.

In this role, you will lead the design and implementation of data quality rules and controls, focusing on Risk, Finance, Compliance, and Regulatory Reporting domains. You will be responsible for driving the operationalization of data quality management using tools, ensuring compliance with banking regulatory standards like BCBS 239.

Key Responsibilities

• Implement data governance policies, standards, and procedures aligned with relevant regulatory frameworks such as BCBS 239.
• Work collaboratively with Risk, Finance, Compliance, and Regulatory Reporting teams to identify and address data quality gaps.
• Conduct training sessions on data quality policies and the use of data quality tools.
• Design and deploy functional data quality rules covering domains including risk metrics, finance (e.g., general ledger controls, reconciliation), compliance, and regulatory reporting.
• Partner with various teams to implement data quality rules that support key metrics for regulatory reports and specific business use cases.
• Ensure data quality and lineage for risk aggregation and reporting according to regulatory requirements.
• Coordinate with teams managing regulatory reporting systems to integrate data quality results into Collibra.
• Oversee Collibra DQ Issue Management workflows including root cause analysis, remediation plans, and closure tracking.
• Integrate Collibra with platforms such as Azure Data Lake, Alteryx, and regulatory reporting tools to capture and display data quality results.
• Develop dashboards within Collibra for tracking data quality scores, regulatory compliance, and exceptions.
• Configure and maintain Collibra data quality rules, workflows, and scorecards, aligning them with business glossaries and data dictionaries.
• Build end-to-end data lineage views within Collibra to connect regulatory reports back to source systems.

Job Requirements

• Bachelor’s degree in Computer Science, Finance, Data Management, or a related field.
• Relevant professional certifications such as CDMP, Collibra Ranger, DGSP, or CIMP are preferred.
• 2 to 8 years of experience in data quality, data governance, or data management roles within the financial services or banking sector.
• Strong knowledge of banking regulatory frameworks including BCBS 239 and other regional reporting requirements in APAC.
• Demonstrated experience designing data quality rules across risk, finance, compliance, and regulatory reporting domains.
• Experience collaborating with Risk, Finance, Regulatory Reporting, and Audit teams to identify and resolve data quality issues.
• Proven hands-on experience with the Collibra Data Intelligence Platform, including expertise in developing custom and out-of-the-box DQ rules, managing Collibra workflows for issue tracking, and handling metadata and lineage would be an advantage.
• Familiarity with SQL, Python, or Alteryx to support data quality rule execution and integration.
• Proven experience integrating Collibra with Azure Data Platform, regulatory reporting solutions, and risk management tools.
• Strong analytical, documentation, and communication skills with a collaborative approach to working across teams.

We are seeking a detail-oriented professional to help maintain and improve data quality standards, while supporting administrative functions.

• Conduct thorough reviews of datasets and records across various systems and sources to identify issues including missing data, inconsistencies, duplicates, and errors.
• Verify and correct data where necessary and obtain further information for incomplete documents.
• Perform data entry into relevant systems of rectified data after verification.
• Collaborate with teams to understand data requirements and implement cleaning methodologies.
• Perform regular quality checks on cleaned data to ensure accuracy and completeness.

Requirements:

• A diploma holder with at least 3 years of experience in data cleaning and handling large datasets.
• Proficient in Microsoft Office Suite, especially advanced Excel functions.
• Meticulous attention to detail and quality control.

The Organisation is seeking a detail-oriented candidate to assist in maintaining and improving data quality standards across HR systems.

This role involves conducting thorough reviews of datasets, verifying and correcting data where necessary, and performing regular quality checks on cleaned data.

Additionally, the successful candidate will support administrative tasks such as preparing reports and processing invoices.

• A diploma holder with 3 years of strong hands-on experience in data cleaning and handling large datasets.
• Proficient in Microsoft Office Suite, especially advanced Excel functions.
• Meticulous attention to details and quality control.
• Experience in using SAP-based HR systems is advantageous.

This is a one-year contract position, requiring 42 hours of work per week.

Only shortlisted candidates will be notified. Please highlight your relevant skills and qualifications in your application.