181 Record Management jobs in Singapore

Library & Archives Solutions Pte Ltd (LAAS) incorporated in 2000, is a wholly-owned company of the National Library Board (NLB) of Singapore. It is created to be the sole distributor of products and services of NLB. The Company plans to reach out to the library industry to exert leadership in library innovations, as well as provide assistance to libraries that wish to expand their services and grow their capabilities. It also aims to provide productivity tools to reduce the cost of operations for clients, and to enable libraries to embrace digital technology to better serve users.

Key Responsibilities :

• Offer Records Management (RM) services and support in areas including but not limited to, eRegistry System administration, Records Appraisal, Digitisation, Transfer, Destruction, Audit and Training
• Periodically review RM policy for updates and improvements
• Create management reports on the status of RM work

Key Requirements & Qualifications

• Candidate should possess minimally a Diploma
• At least 2 years of relevant experience perferable
• Able to work independently with minimum supervision
• Excellent communications skills
• Experience with Records Management or Knowledge Management in government agencies would be advantageous

Job Reporting Location:

100 Victoria Street, National Library Building. Singapore 188064

Interested applicants, please email your detailed resume, stating your current and expected salary, date of availability and contact number to:

We would like to thank all applicants for their interest but regret that only those qualified will be contacted.

You will support the Records Management Department in record management functions such as the following:

• e-Registry User Administration
• Liaison with ITD on technical issues regarding e-Registry
• Hardcopy file administration
• File Inventory Management System (FIMS) Administration (File onboarding, RFID tagging, system amendments etc)
• File Appraisal via ARMS
• Digitisation matters
• OneDrive folders administration
• Interagency Collaboration and Agreements (MOU/IA, File transfer, Contemporary collection management)

Job Requirements:

• 1-2 years of relevant working experience
• Degree holder
• Proficient in Microsoft Office, esp. in Excel
• Ability to work independently
• Good interpersonal communication skills

Duration/ Working hours:

• Less than 3 months (Immediate)
• 42 hours per week

** We regret to inform only shortlisted candidates will be notified.

C-AB-002

Key Responsibilities:

· The client wants to create data integration, data marts, and data lakes in accordance with their data architect.

· However, rather than simply following instructions, it will be necessary to consider the current and future styles of data, communicate with multiple members, and perform design work when necessary (in other words, this role will require strong business analysis skills).

· We are looking for personnel who can provide this support.

Key Requirements:

· Bachelor's degree in computer science, Information Systems, Data Science, or a related field. Master's degree preferred.

· 8-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).

· Basic knowledge of data governance (i.e. DAMA-DMBOK).

· Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.

· Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).

· Advanced SQL skills and strong ability to work with large, complex financial datasets.

· Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.

· Intermediate understanding of regulatory compliance in the APAC region.

· Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.

· Need to Power BI experiences

· People who can communicate and create basic reports

How to Apply:

If interested, please send your resume to or by clicking the "Apply Now" button.

We regret that only short-listed applicants will be notified.

Rachel Ling

Registration No: R21102195

EA Licence No: 21C0761

C-AB-002

Key Responsibilities:

· The client wants to create data integration, data marts, and data lakes in accordance with their data architect.

· However, rather than simply following instructions, it will be necessary to consider the current and future styles of data, communicate with multiple members, and perform design work when necessary (in other words, this role will require strong business analysis skills).

· We are looking for personnel who can provide this support.

Key Requirements:

· Bachelor’s degree in computer science, Information Systems, Data Science, or a related field. Master's degree preferred.

· 8-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).

· Basic knowledge of data governance (i.e. DAMA-DMBOK).

· Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.

· Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).

· Advanced SQL skills and strong ability to work with large, complex financial datasets.

· Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.

· Intermediate understanding of regulatory compliance in the APAC region.

· Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.

· Need to Power BI experiences

· People who can communicate and create basic reports

How to Apply:

If interested, please send your resume to or by clicking the “Apply Now” button.

We regret that only short-listed applicants will be notified.

Rachel Ling

Registration No: R21102195

EA Licence No: 21C0761

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)

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.

Bloomberg's success hinges on its ability to harness and deliver high-quality data insights to clients.

The Data Management Lab (DML) is the nerve center of Bloomberg's Data organization, where a team of experts works tirelessly to ensure that industry best practices align with Bloomberg's established expertise in financial market data.

As a Lead Data Management Professional, you will play a pivotal role in shaping the company's data management strategy while driving impactful business decisions.

• Drive global initiatives focused on data quality, operational efficiency, and data management across all departments
• Design and execute analytical frameworks to uncover root causes for data quality issues and develop recommendations using Bayesian analysis, machine learning, and causal inference techniques
• Develop optimization strategies to balance trade-offs such as performance, quality, and resource usage across data pipelines
• Apply Operations Research methods like Linear programming, Queuing theory, and Monte Carlo Simulations to drive business outcomes
• Maintain a thorough understanding of data engineering workflows, including how data pipelines are orchestrated and various components within the ETL framework
• Deliver actionable insights through advanced analytics and compelling data storytelling to support business decision making and innovation
• Collaborate with data stakeholders and engineering partners to translate high-impact questions into scalable data science solutions
• Build statistical and analytical capabilities within the team and mentor others

To succeed in this role, you will need:

• A Bachelor's degree or higher in Data Science, Economics, Statistics, or a relevant STEM field, or equivalent professional work experience
• 3-5 years' experience designing data engineering pipelines and optimizing data management processes
• Proficiency in Python (e.g., PySpark, Pandas, NumPy, or Pymc) and SQL
• Experience working in a data quality, data governance, or data management role, with a focus on delivering high-quality data insights to clients
• Familiarity with modern data tech stack tools, such as dbt, Iceberg, Trino, Airflow, Superset, etc.
• Familiarity with version control systems (e.g., Git) and a collaborative development workflow environment (e.g., GitHub, GitLab)
• Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
• Demonstrated continuous career growth within an organization
• Excellent written and verbal communication skills in English

It would be beneficial if you had experience in:

• Data Management Association (DAMA) and Data Management Capability Assessment Model (DCAM)
• Knowledge of financial markets and Bloomberg products

Join a dynamic team as a data management professional at a prestigious organization. As a recent graduate or someone eager to develop hands-on experience in administrative operations and data management, you'll be ideal for this entry-level opportunity.

• Support daily business operations with prior knowledge of the industry, which is highly desirable
• Enter, update, and maintain data in internal systems and databases accurately
• Review and verify data for accuracy and completeness
• Input and update invoices into the company's database system efficiently
• Verify invoice details such as amounts, dates, and payment terms
• Communicate with suppliers or internal departments to resolve discrepancies or missing information
• Maintain accurate and organized records of invoices and payments
• Assist in reconciling invoices and supporting documentation
• Organize and manage physical and digital files and records
• Assist in preparing reports and summaries from entered data
• Provide general administrative support including filing, photocopying, and data entry
• Respond to inquiries and assist with internal data requests
• Assist with organizing and managing office documentation and scheduling tasks

This role requires a highly organized and detail-oriented individual who can work effectively in a fast-paced environment.

Job Summary:

The Administrative Support Assistant will provide data management, analytics, and strategic guidance to support agency leaders and financial consultants.

Key responsibilities include assisting Recruitment Managers in day-to-day operations, conducting fitness and propriety assessments, participating in financial consultant interviews, and tracking recruitment applications.

Main Tasks:

• Data management
• Analytics and reporting
• Strategic guidance
• Support for Recruitment Managers
• Fitness and propriety assessments
• Financial consultant interviews
• Tracking recruitment applications

Requirements:

• Diploma in a related discipline
• 1 year of relevant experience

Benefits:

A motivated and skilled team player who can start immediately or within short notice.

Contact Information: