180 Data Management jobs in Singapore

Responsibilities

• Assist in the updating, extracting and uploading of database for marketing purposes;
• Perform data de-duplication, manipulation, cleansing, extraction, mapping/matching;
• Perform queries and list pulls for marketing campaigns;
• Monitor and perform updating, deduping, clean-up, extracting and uploading of database;
• Report on campaigns performance, effectiveness, and growth;
• Produce quantitative reports/presentations and communicate on findings, highlight any inconsistencies / issues;
• Work with business and IT resources regarding database issues and technical questions;
• The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities and qualifications may be required and/or assigned as necessary.

Requirements:

• Minimum 1-2 years of relevant database / reporting experience;
• Minimum Diploma in a relevant field;
• Highly proficient with Microsoft Excel (E.g.: Pivot Tables, Macros, etc);
• Understanding of database structure;
• Basic programming skills will be an advantage;
• Able to work in a deadline driven environment with the ability to meet aggressive deadlines;
• Able to handle multiple campaigns assigned;
• Observes attention-to-detail, meticulous and organized; and
• Fluent in both spoken and written English.

We regret that only shortlisted candidates will be notified.

1 day ago Be among the first 25 applicants

Direct message the job poster from RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

Job Summary

We’re looking for a Data Management (Banking Industry) to support our team in Singapore but this role Hybrid. This role offers the opportunity to work on meaningful projects, collaborate with talented colleagues, and contribute to the success of a growing company. If you’re someone who takes initiative, values continuous learning, and thrives in a collaborative setting, we’d love to hear from you.

Responsibilities:

• Collaborate with business stakeholders and technology teams to gather and analyze data requirements related to banking products, transactions, customers, and reporting.
• Design and maintain logical and physical data models for core banking, risk management, compliance, and financial reporting.
• Translate complex business use cases into normalized and de-normalized data structures optimized for both operational and analytical workloads.
• Implement and evolve data marts, data warehouses, and data integration layers aligned with the client’s data architecture.
• Work with development teams to deploy physical data models and optimize performance for large financial datasets.
• Ensure all data models comply with data governance, quality, and metadata management standards.
• Produce data documentation, including data dictionaries and lineage diagrams, for business, audit, and regulatory use.
• Support initiatives related to data lineage, metadata management, and data quality to enhance data trust and transparency.
• Provide business support with the ability to identify and highlight IT issues when necessary.
• Create and maintain reports and communicate effectively with both technical and business stakeholders.

Requirements:

• Bachelor's degree in computer science, Information Systems, Data Science, or a related field.
• Min. 7–10 years of experience in data architecture, data modelling, or data management in the banking or financial services industry.
• Deep expertise in logical and physical data modelling, particularly for core banking, risk, compliance, and analytics use cases.
• Strong skills in data modelling tools such as Erwin, PowerDesigner, or similar.
• Advanced SQL skills with experience handling large, complex financial datasets.
• Solid understanding of relational and dimensional modelling, data warehousing, and integration techniques.
• Familiarity with data governance frameworks like DAMA-DMBOK.
• Intermediate understanding of APAC regulatory compliance.
• Excellent communication, collaboration, and documentation skills.
• Ability to create clear reports and work well in a team setting.
• Experience with the American data management platform Collibra (non-development role) is a plus.
• Good communication skills in both writing and spoken to communicate effectively with the stakeholders and clients.

About CLPS RiDiK

RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact. Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries

• Seniority level Mid-Senior level

• Employment type Contract

• Job function Analyst and Management
• Industries IT Services and IT Consulting, Banking, and Financial Services

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1 month ago Be among the first 25 applicants

Only CAT-1 cleared applicants will be considered (Singapore Citizen)

As this is a mid level role, only 2-7 years of experience will be considered.

Only Data Management experience in Financial/Banking/Investment domain will be considered.

Only We are seeking a meticulous and proactive Data Management Specialist with strong analytical and problem-solving skills to support our investment data operations. The ideal candidate will be responsible for ensuring data accuracy, managing reconciliation processes, handling data issues, and supporting end users through documentation and UAT activities. Candidates must be CAT-1 cleared and possess relevant domain knowledge in investment data.

Key Responsibilities:

• Perform data analysis to support investment operations and reporting.
• Implement, monitor, and troubleshoot data reconciliation and quality check processes.
• Manage and resolve data-related issues in a timely and effective manner.
• Develop and maintain Oracle PL/SQL scripts for data extraction, transformation, and validation.
• Collaborate with business users to conduct User Acceptance Testing (UAT).
• Respond to queries from end users and ensure adherence to agreed SLAs.
• Prepare and maintain technical and functional documentation.
• Apply investment data domain knowledge to improve data accuracy and usability.
• Work closely with cross-functional teams to ensure data integrity and governance standards are met.

Requirements:

• CAT-1 cleared or eligible.
• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Proven experience in data analysis and data issue management.
• Hands-on experience with Oracle PL/SQL.
• Experience in data reconciliation and quality assurance processes.
• Strong documentation skills for technical and functional specifications .
• Familiarity with investment data and financial instruments.
• Excellent problem-solving, logical thinking, and communication skills.
• Ability to manage multiple priorities and meet SLA-driven deadlines.

Good to Have:

• Experience with Tableau for data visualization.
• Familiarity with Snowflake or Denodo platforms.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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Job Title: Data Management Coordinator

At our organization, we are seeking a skilled professional to fill the role of Data Management Coordinator. This position will play a critical part in overseeing daily administrative tasks and assisting in rostering processes.

Key Responsibilities:
- Handling day-to-day administrative duties with high precision and speed
- Assist in coordinating and optimizing scheduling systems for increased efficiency

Required Skills:
- Proficiency in Microsoft Office (Excel, Word, PowerPoint)
- Strong organizational and analytical skills for data analysis and trend identification

Benefits:
- Opportunity to work with a dynamic team to drive operational improvements
- Professional development opportunities through training and mentorship programs

• Enter research patient data into paper case report forms and various electronic data capture systems.
• Assist CRCs in answering data queries.
• Attend Site Initiation Meeting and site audits and inspections.
• Assist CRCs in reporting SAEs and safety updates.

• Assist CRCs in reporting SAEs and safety updates Eg. SUSARs. Reporting of safety updates and SAEs must be in accordance with the protocol, sponsor, SGGCP, IRB and HSA requirements.

• Assist in feasibility exercises conducted by trial sponsors.Ensure NDAs executed before exchanging confidential information.
• Ensure timely correspondences with sponsors and timely reply on feasibility exercises.
• Maintain and update feasibility database.
• File and safe keep feasibility documents.

• Assist the DM Team with CRF design as and when necessary.

• Work closely with the data manager to ensure that study databased are completed in time for SIV.

• Ensure data entered is clean and free from discrepanies.

• As assigned by the supervisor and may include the following:
• Assist investigators to register and maintain trials in the clinicaltrials.gov database.
• Assist CRCs to apply for HSA or IRB application whenever necessary.

• Bachelor's Degree in Life Sciences, Biomedical Science, or a related field
• At least 2 years of prior working experience in similar job scope
• Excellent written and verbal communication skills
• Good organizational and interpersonal skills
• Proficient in Microsoft Office & Powerpoint
• Self-motivated and a team player
• Ability to complete tasks independently with minimal supervision
• Ability to work on multiple projects involving multiple stakeholders concurrently
• Possess an understanding of medical and clinical research terminology
• Cancer research background will have added advantage

A Data Management Professional is required to oversee the smooth operation of databases in our organization.

The successful candidate will be responsible for monitoring database health, ensuring data integrity and implementing solutions to optimize database performance. Strong problem-solving skills and experience with MS SQL Enterprise Server are essential.

• Daily health monitoring of production database systems and data integrity checks.
• Database migration and performance monitoring.
• System/data backup and disaster recovery.
• Carry out periodical production patch and upgrade management.

This role requires strong analytical and problem-solving skills, as well as excellent communication and teamwork skills.

Key Responsibilities:

1. Data Management:
2. Database Administration:
3. Performance Optimization:
4. Troubleshooting:
5. Security:
6. Teamwork:

Requirements:

• Bachelor's degree or higher in Computer Science, Information Technology or related field.
• Minimum 1-2 years of experience in DBA and operation management in MS SQL Enterprise Server.
• Proficient in Linux/Unix environment shell scripting.
• Familiar with virtualization technologies.
• Experience in setting up and supporting database mirroring, failover clustering would be advantageous.

Benefits:

We offer a competitive salary and benefits package, including comprehensive training and opportunities for career growth.

Job Details

Location : Caldecott

Contract Duration : 1 year

Monday - Friday, hybrid (3 days office 2 days wfh)

Data Management:

- Engage with data stewards to implement Data Quality Implementation Strategy

- Identify and report data quality issues, propose solutions

- Plan and implement strategies to improve data quality

- Streamlining of work processes:

- Consolidate and update FAQs

- Analyze mailbox query trends, propose solutions

- Administrative and Logistical Support:

- Develop and maintain training materials and user guides

- Coordinate logistics for training and change management

- Provide admin and technical support for onboarding new users

Requirements:

- Singaporean

- Proficient in data visualization and data analytics

- Strong project management skills

- Detail-oriented and meticulous

- Positive attitude towards learning

- Ability to work independently and as part of a team

If interested, Whatsapp Jody at 9657 3200 ( ) directly.

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy . You acknowledge that you have read, understood, and agree with GO’s Terms of Use and the Privacy Policy. If you wish to withdraw your consent, please email us at . Please feel free to contact us if you have any queries. PERSOLKELLY Singapore Pte Ltd • RCB No. 20007268E • EA License No. 01C4394 • EA Registration No. R25128731 (Jody Chee Zi Yu)

Join to apply for the VP, Data Management & Analytics, Data Management Office (DMO) role at SMBC Group

As VP of Data Management & Analytics, you will collaborate with various business units and regional offices to support data initiatives. Your focus will be on aligning data utilization with business objectives and promoting data analytics to facilitate strategic decision-making. You will understand business requirements, identify opportunities to leverage data for insights, operational efficiencies, and growth, and work closely with business units to resolve data quality issues and improve data availability, usability, and literacy to achieve business outcomes.

• Engage stakeholders to identify and prioritize data-driven improvement opportunities.
• Develop and implement data analytics solutions for business challenges.
• Conduct design workshops to co-design solutions aligned with business goals.
• Create dashboards to communicate insights and support decision-making.
• Ensure data solutions comply with data management and governance policies.
• Promote the adoption of BI and analytics tools and integrate analytics into strategic and operational processes.
• Define data requirements for analytics projects with business units.
• Oversee data pipelines for the central data HUB and coordinate with IT on the roadmap.
• Advocate for Data HUB as a centralized, governed data asset for reporting and analytics.
• Identify and resolve data quality issues with cross-functional teams.
• Enhance data proficiency through support and training to enable effective data utilization.

• Bachelor’s degree with at least 8 years of experience in Data Science, Analytics, Governance, Management, or MIS/Reporting.
• Subject matter expertise with practical experience in data analytics solutions within banking and financial sectors.
• Strong business acumen and advanced technical skills with a history of delivering strategic data initiatives.
• Proficiency in BI tools like QlikView, Tableau, Power BI, with experience in creating dashboards and reports.
• Strong Python/R programming skills and experience in developing machine learning models.
• Experience in data management, integration, governance, and cross-department collaboration.
• Experience in data discovery, root cause analysis, and resolving data quality issues.
• Knowledge of metadata and master data management.
• Understanding of data governance frameworks, UI/UX principles, and analytics best practices.
• Experience with data governance tools such as Collibra, Informatica, Alation is advantageous.
• Excellent strategic thinking, analytical, problem-solving, communication, and project management skills.
• Work location:

Join to apply for the Data Management Specialist / Data Manager role at TEKsystems

1 day ago Be among the first 25 applicants

Join to apply for the Data Management Specialist / Data Manager role at TEKsystems

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• Develop and implement data management policies and procedures.
• Maintain and enhance the organization’s data systems and databases.
• Ensure data accuracy, consistency, and security across all platforms.
  
  

• Develop and implement data management policies and procedures.
• Maintain and enhance the organization’s data systems and databases.
• Ensure data accuracy, consistency, and security across all platforms.
  
  

• Develop and implement data management policies and procedures.
• Maintain and enhance the organization’s data systems and databases.
• Ensure data accuracy, consistency, and security across all platforms.
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Monitor data quality metrics and coordinate data cleansing activities.
• Manage data access controls and ensure compliance with relevant data privacy regulations (e.g., PDPA).
• Support data migration, integration, and system upgrades as needed.
• Generate reports and dashboards to provide insights to internal stakeholders.
• Stay current with industry best practices and emerging trends in data management.
  
  

• Bachelor’s degree in Information Technology, Computer Science, Data Science, or related field.
• 5+ years of experience in data management, database administration, or related roles.
• Strong knowledge of data management tools, database systems (e.g., SQL, Oracle, etc.), and data visualization platforms.
• Familiarity with data privacy and compliance regulations in Singapore.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
  
  

• Certification in Data Management (e.g., CDMP, DAMA)
• Experience with cloud data platforms (AWS, Azure, etc.)
• Knowledge of programming languages (Python, R) for data processing
  
  

• Seniority level Not Applicable

• Employment type Contract

• Job function Information Technology

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