Total 343 data entry job vacancies

COMPANY DESCRIPTION

About NTUC Health Co-operative Limited

NTUC Health Co-operative Limited (NTUC Health) is an NTUC enterprise that provides a comprehensive and integrated suite of quality and accessible health and eldercare services to meet the growing needs of families and their dependents. Building on close to three decades of experience and expertise, NTUC Health is among the largest providers of active ageing, senior day care, nursing home, and home personal care services in Singapore. We also serve vulnerable seniors in selected areas in Singapore through Community Case Management Services (CCMS), CREST mental health support, and a sheltered senior group home. In addition, we run a family medicine clinic.

Our purpose is to achieve ‘health for life'; enabling healthy and fulfilling years by being a trusted partner of seniors and their families in our community.

For more information, please visit ntuchealth.sg or follow us on Facebook, Instagram, and LinkedIn.

Services: Senior Day Care | Home Care | Nursing Home | Active Ageing and Senior Fitness | Rehabilitation and Physiotherapy | Family Medicine

Community Support: CCMS (Community Case Management Services) | CREST (Community Resource, Engagement and Support Team) | Henderson Home

RESPONSIBILITIES

Job Role Summary:

As a Talent Attraction Intern, you will play a key role in supporting the recruitment and onboarding processes at NTUC Health. This internship offers the opportunity to contribute to data-driven HR initiatives.

Key Responsibilities:

• Clean, organize, and analyse recruitment and attrition data using SQL and Google Apps Script.
• Maintain and update HR records, databases, and applicant tracking systems (ATS).
• Develop and maintain a consolidated dashboard to track key talent metrics.
• Collaborate with various HR teams on cross-functional projects.
• Perform other related tasks as assigned by the supervisor.

You are:

• Currently pursuing an undergraduate degree or diploma in Human Resources, Business Analytics, Information Systems, or a related field.
• Proficient in SQL and Google Apps Script, with the ability to clean datasets and build dashboards.
• Comfortable working with Google Suite applications (e.g., Sheets, Docs, Slides).
• A team player with strong communication and stakeholder management skills.
• Detail-oriented, analytical, proactive, and eager to learn.

• CAT-1 cleared/eligible candidate is required for this role.
• Possess a degree in Computer Science/Information Technology or related fields.
• Experience in data warehouse or data mart operations.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks by SLA (implementation, monitoring and troubleshooting).
• Able to handle data issue management.
• Proficient inOracle PLSQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Provide documentation support in technical/functional specifications.
• Possess investment data domain knowledge.
• Good problem solving and logical thinking.

Job Description

Integrated Business Planning (IBP) brings together forecasting and supply planning across marketing, sales, finance, procurement, manufacturing, and customer service into a unified process. This integration ensures alignment across the enterprise, leading to superior customer outcomes.

Agilent is building our enterprise planning capabilities to drive IBP across the business by establishing a centralized Planning Excellence Team (PET). This team will continue our Ignite IBP transformation journey which will strengthen our competitive advantage by enabling faster, more reliable planning. The

IBP Data Scientist role will bring key data scientist capabilities to the PET team. As the IBP Data Scientist, you will be responsible for supporting the fast-paced development and continued maintenance of demand, inventory, and supply planning models, refreshing targets, and monitoring key planning parameters to ensure the business is positioned to meet demand reliably and efficiently.

Principle Duties/Responsibilities:

• Provide data-driven insights, dashboards, and scenario modeling to support demand and supply planners, S&OE/S&OP processes, and enterprise decision-making
• Drive continuous improvement in analytics, data quality, and model reliability
• Drive automation and advanced analytics, leveraging Python, SQL, and BI tools to scale insights
• Partner with more senior team members to align analytics with standards, governance, and process maturity efforts
• Generate dashboards and KPIs that to support IBP governance and forum discussions
• Enable S&OE/S&OP with near-term supply-demand coverage analytics, including early warning indicators
  

Qualifications

• Bachelor's or Master's Degree or equivalent in data science, statistics, computer science, or related field.
• Post-graduate, certification, and/or license are a plus.
• Ability to work independently and as part of a team in a fast-paced environment.
  

Preferred skills include:

• Knowledge in predictive modeling, machine learning, and statistical analysis preferred.
• Programming languages such as Python, R, or SQL.
• Data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.
• Strong analytical and problem-solving skills with the ability to interpret complex data.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of advanced machine learning techniques and frameworks.

Job Description

We are seeking an experienced Lead Data Integration & ETL Engineer to design, develop, and support enterprise-scale data integration solutions for banking and financial services clients.

The successful candidate will lead technical delivery teams, provide architectural guidance, and ensure the successful implementation of ETL and data warehousing solutions using modern data technologies.

Key Responsibilities

• Lead the design and development of ETL/Data Integration solutions.
• Manage end-to-end data migration and integration projects.
• Work closely with business stakeholders, architects, and project managers.
• Develop and optimize ETL processes using Talend and other data integration tools.
• Ensure data quality, governance, and compliance standards are met.
• Provide technical leadership and mentoring to junior team members.
• Support production deployments and resolve technical issues.
• Participate in solution design, code reviews, and best practice implementation.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related discipline.
• Minimum 12 years of experience in Data Integration, ETL, and Data Warehousing.
• Strong hands-on experience with Talend ETL.
• Experience with SQL, Oracle, Hadoop, Spark, Hive, or related Big Data technologies.
• Experience in Banking or Financial Services domain is preferred.
• Strong analytical, problem-solving, and communication skills.
• Experience leading technical teams and managing project deliverables.

Job Description

We are seeking an experienced Lead Data Integration & ETL Engineer to design, develop, and support enterprise-scale data integration solutions for banking and financial services clients.

The successful candidate will lead technical delivery teams, provide architectural guidance, and ensure the successful implementation of ETL and data warehousing solutions using modern data technologies.

Key Responsibilities

• Lead the design and development of ETL/Data Integration solutions.
• Manage end-to-end data migration and integration projects.
• Work closely with business stakeholders, architects, and project managers.
• Develop and optimize ETL processes using Talend and other data integration tools.
• Ensure data quality, governance, and compliance standards are met.
• Provide technical leadership and mentoring to junior team members.
• Support production deployments and resolve technical issues.
• Participate in solution design, code reviews, and best practice implementation.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related discipline.
• Minimum 12 years of experience in Data Integration, ETL, and Data Warehousing.
• Strong hands-on experience with Talend ETL.
• Experience with SQL, Oracle, Hadoop, Spark, Hive, or related Big Data technologies.
• Experience in Banking or Financial Services domain is preferred.
• Strong analytical, problem-solving, and communication skills.
• Experience leading technical teams and managing project deliverables.

Lead for data types assigned in data conversion projects, managing procurement, data extraction, mapping, analysis, conversion, testing, loading and go-live support.

PRIMARYRESPONSIBILITIES

• Data Migration/Conversion Lead for assigned datatypes. Follow client's Data Migration/ Conversion Methodology to lead the execution of data conversion projects
• Assist the development of data migration/conversion project plans;
• Collaborate with project stakeholders and teams to drive the data migration/conversion process;
• Report project progress and status in a timely manner and Support client's go-lives, investigate and fix issues.

REQUIREMENT:

• Experience in System integration and interfacing via HL7/SFTP/DICOM
• Good database and SQL knowledge and able to able to understand and analyze complex workflow scenarios;
• Able to manage and drive multiple projects concurrently
• With minimum of 2 years’ experience as a Business Analyst

Interested applicants may send in their detailed resumes, with subject title: 105-Data Migration in MS Word format

We regret that only shortlisted candidates will be notified.

Formilleza Jacqueline Rey (Reg. Nos. R1104128)

IT Consultancy & Services Pte Ltd

EA License No.: 92C5311

For more information about ITC, please visit us @ www.itcspl.com

Responsibilities

IT Helpdesk & Corporate Support (~20%)

·       Provide Level 1 IT support for Corporate Office users (~35 users)

·       Manage user provisioning, device setup, access rights, and asset tracking

·       Troubleshoot common issues (M365, endpoints, printers)

·       Escalate complex infrastructure issues to central IT or vendors

·       Maintain structured ticket logs and monthly support reporting

Data Governance & Quality (~20%)

·       Support structured data quality assessments across corporate and plant systems

·       Coordinate with data owners to maintain master data integrity

·       Maintain enterprise data standards, dictionaries, and validation rules

·       Support digitization of manual data capture processes

·       Identify and document systems of record for key operational data

·       Work on digitization of data

Process Automation (~40%)

·       Document and map repetitive/manual processes across plants and corporate functions

·       Identify and prioritize automation opportunities

·       Develop and maintain low-code/RPA workflows

·       Test, deploy, and monitor automation performance

·       Maintain automation inventory and quantify efficiency gains

·       Track and report time savings and error reduction

·       Continuously refine deployed automations

Applied AI / ML Support (~20%)

·       Prepare structured datasets for AI/ML use cases

·       Perform exploratory data analysis (EDA)

·       Manage and maintain ETL/ELT pipelines for centralized data preparation

·       Support development, testing, and monitoring of predictive/prescriptive models

·       Document model performance and improvement opportunities

Qualifications & Skills

Education

·       Degree in Information Systems, Computer Science, Data Analytics, or related field

Technical Skills

·       Working knowledge of SQL, Python or R

·       Familiarity with JavaScript, HTML, CSS (basic level)

·       Experience with Power BI or similar visualization tools

·       Exposure to low-code automation tools (Power Automate, UiPath, etc.)

·       Understanding of data governance and data lifecycle principles

·       Strong documentation discipline

Helpdesk Technical Skills

·       Windows 10/11 troubleshooting

·       Microsoft 365 administration and support

·       Email configuration and troubleshooting

·       End-user device and peripheral support

·       Basic network connectivity troubleshooting

·       User and access management

·       Shared drive and permission management

Successful candidates need to be comfortable with working on weekends, and rotation shifts as and when required.

Key Responsibilities:

• Design and implement advanced data science solutions across banking domains, with a focus on automation and integration with enterprise database platforms.
• Lead the automation of end-to-end data science workflows, including data extraction, transformation, modelling, and deployment.
• Work closely with database engineering teams to ensure seamless integration between models and large-scale relational and non-relational databases.
• Champion the development of reusable, scalable ML pipelines for model training, evaluation, monitoring, and retraining.
• Drive AI/ML adoption for use cases like fraud detection, risk scoring, operational efficiency, customer analytics, and more.
• Contribute to data governance and model risk management processes in line with regulatory standards.
• Mentor junior data scientists and contribute to building best practices and a strong data culture.
• Any other ad-hoc duties as assigned by supervisors

Requirements:

• Bachelor’s degree in Engineering / Computer Science / Information Technology or related field.
• Around 9 - 12 years of experience and above
• Experience with PL/SQL, Python, Shell Scripting and cloud-based environment.

Interested applicants, please email your resume to Douglas Tan Yu Feng

Email: douglastan@recruitexpress.com.sg

CEI Reg No: R26160004

EA Licence No: 99C4599

Recruit Express Pte Ltd

Role Summary 

The CSA Cost Manager will be responsible for delivering full lifecycle cost management services for the Civil, Structural & Architectural (CSA) packages on a large‑scale data centre development.

This role focuses on ensuring cost certainty, commercial control, and value optimisation across complex base‑build works, including substructure, superstructure, building envelope, and architectural elements. You will work in a fast‑paced, mission‑critical environment, collaborating closely with project teams, consultants, and contractors.

Key Responsibilities

Cost Planning & Pre‑Contract Management

• Prepare and manage cost estimates, feasibility studies, and detailed cost plans for CSA works.
• Provide cost advice during design development on structural systems, construction methods, and architectural elements.
• Benchmark costs and identify value engineering opportunities to optimise project outcomes.

Procurement & Tendering

• Prepare tender documentation and commercial deliverables for CSA trade packages.
• Manage tender processes including pre‑qualification, tender analysis, evaluation, and recommendations.

Post‑Contract Cost Management

• Manage change control processes, including variation assessments and cost impact analysis.
• Review and certify contractor progress payments.
• Monitor cost performance and maintain accurate forecasts and records.
• Support final account negotiation and project close‑out.

Reporting & Financial Control

• Prepare regular cost reports, forecasts, and financial updates.
• Identify cost risks, trends, and mitigation measures.
• Ensure alignment with project budgets and financial governance requirements.

Stakeholder Coordination

• Work closely with Project Managers, consultants, contractors, and client representatives.
• Participate in design, coordination, and site meetings, providing commercial input for CSA scope.
• Coordinate closely with MEP teams to ensure integrated project delivery.

Governance & Risk Management

• Ensure compliance with project governance, procedures, and reporting standards.
• Identify and manage project cost risks proactively.
• Maintain transparency and accuracy in all cost management deliverables.

Role Overview:
We are looking for a Principal Systems Analyst, Data Platform to support the stability, modernisation, and continuous improvement of enterprise data platforms. The role will oversee data platform operations, release management, performance monitoring, service improvement, and governance across data warehousing, ETL pipelines, analytics environments, and cloud-based platforms.

The successful candidate will play a key role in driving platform modernisation, including cloud adoption, AI-driven automation, CI/CD implementation, and scalable analytics solutions. This role will also provide technical leadership, mentor team members, and work closely with stakeholders to ensure data platforms remain secure, reliable, compliant, and aligned with business needs.

Key Responsibilities:
1) Operations & Service Management

• Oversee the stability, scalability, and reliability of enterprise data platforms.
• Ensure smooth integration of data warehousing, ETL pipelines, and analytics environments.
• Act as the subject matter expert for troubleshooting and resolving complex data platform issues.
• Monitor platform performance, availability, and capacity to identify and mitigate operational risks.

2) Service Improvement & Strategy

• Evaluate existing data platform capabilities and recommend improvements to enhance performance and efficiency.
• Drive modernisation initiatives, including cloud-native services and AI-driven automation.
• Align data platform strategy with organisational goals for digital transformation and advanced analytics.
• Identify opportunities to improve platform operations, automation, governance, and user adoption.

3) Release, Change, Performance & Availability

• Manage release cycles, upgrades, and change requests across data platform components.
• Implement and support CI/CD pipelines to streamline deployments and reduce downtime.
• Monitor platform performance, availability, and capacity trends.
• Proactively identify risks and recommend improvements to platform resilience and reliability.

4) People & Technical Leadership

• Provide technical leadership and mentorship to analysts, engineers, and consultants supporting the data platform.
• Collaborate with cross-functional teams to ensure platform solutions meet business and operational needs.
• Lead stakeholder workshops and training sessions to improve data literacy and platform adoption.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.

5) Governance, Risk & Compliance

• Ensure compliance with data governance frameworks, privacy regulations, and industry standards.
• Establish and maintain documentation, audit trails, and policies for platform operations and automation workflows.
• Identify and mitigate risks relating to data integrity, platform reliability, security, and compliance.

Requirements:

• Strong experience in systems analysis, SQL, data warehousing, data platforms, and business intelligence tools.
• Hands-on experience with BI tools such as Qlik, Tableau, or Power BI.
• Proficiency in Python, machine learning concepts, and MLOps practices for scalable analytics solutions.
• Experience with RPA tools such as UiPath and Microsoft Power Platform, including Power Automate, Power Apps, and Microsoft Fabric.
• Strong understanding of ETL, data modelling, and data governance frameworks.
• Exposure to CI/CD pipelines and cloud data platforms such as Azure Synapse, AWS Redshift, or Google BigQuery.
• Excellent communication, stakeholder management, and data storytelling skills.
• Healthcare domain experience will be advantageous.
• PMP or Scrum Master certification will be advantageous.
• Experience in AI/ML-driven automation and advanced analytics use cases will be advantageous.

Preferred:

• Healthcare domain experience
• PMP or Scrum Master certification
• Experience in AI/ML-driven automation and advanced analytics use cases

• Conduct routine inspections of mechanical or electrical installations (HVAC systems, chilled water piping, generator systems, switchgear, UPS, cabling, etc.)
• Ensure all works are executed in accordance with design drawings, technical specifications, and applicable codes
• Monitor contractor activities and verify quality of workmanship
• Identify non-conformances and ensure corrective actions are implemented
• Witness and verify testing & commissioning activities (FAT/SAT, pre-functional, functional testing)
• Maintain detailed inspection records, reports, and documentation
• Coordinate with project managers, consultants, and contractors to resolve technical issues
• Ensure compliance with safety standards and project QA/QC procedures
• Support handover documentation and final acceptance processes

• Lead and manage all CSA construction activities on-site for the data center project
• Oversee earthworks, substructure, superstructure, architectural, and finishing works
• Coordinate with design consultants, contractors, and project stakeholders
• Ensure CSA works align with MEP coordination, interfaces, and sequencing requirements
• Review and manage construction drawings, method statements, and shop drawings
• Monitor project progress, schedules, and budgets for CSA packages
• Ensure compliance with local authority regulations, building codes, and project specifications
• Implement and enforce quality assurance and quality control (QA/QC) processes
• Ensure strict adherence to health, safety, and environmental (HSE) standards
• Conduct site inspections, manage defects, and support handover and close-out activities

Key Responsibilities

• Plan and supervise a wide range of construction projects from start to finish
• Organize and oversee construction procedures to ensure they are completed in a timely and efficient manner
• Manage the overall implementation and completion of projects within the scheduled time, cost, and quality
• Recommend appropriate risk control measures to reduce or eliminate risks identified during assessments
• Monitor the progress of projects and update management regarding any schedule variances
• Develop, monitor, and review equipment and manpower deployment plans for project sites
• Assist in plan and specification analysis to provide clear and traceable designs and drawings for construction

Qualifications

• Bachelor’s degree or above in Electrical Engineering (A Master's degree is highly advantageous).
• 10+ years of DC construction / greenfield project is required for the role
• Excellent knowledge of relevant rules, regulations, and quality standards
• Holding an EMA Licensed Electrical Worker (LEW) certification in Singapore is a massive plus

If you are interested in the position

Please include your availability, expected salary and reason for leaving current job

We regret that only shortlisted candidates will be contacted

EA: 94C3609 / Reg: R1325913

We are seeking an experienced Senior Project Manager to lead complex, regional data analytics projects within a banking environment. You will oversee initiatives spanning data warehousing, business intelligence, reporting automation, advanced analytics, and regulatory data solutions. You will manage cross-border programs, engage with steering committees, control budgets, drive quality assurance, and navigate diverse stakeholder landscapes across the Asia Pacific region.

Key Responsibilities

Project Lifecycle Management

• Own end-to-end project delivery for data analytics initiatives, from business case development and requirements gathering to implementation, go-live, and post-implementation review.

• Define project scope, objectives, deliverables, and success metrics aligned with regional data strategy and business outcomes.

• Develop and maintain detailed project plans, timelines, milestones, data migration schedules, and risk registers.

Regional Data Analytics Delivery

• Lead regional data analytics projects spanning multiple countries, ensuring consistency in data governance, reporting standards, and compliance across locations.

• Coordinate with in-country data teams, business intelligence units, and local technology leads to align regional data frameworks with local regulatory and operational requirements.

• Manage dependencies across data ingestion, transformation, storage, visualization, and consumption workstreams.

Steering Committee & Governance

• Prepare and present regular steering committee updates, including project status, budget utilization, risk assessments, data quality metrics, and issue escalation.

• Facilitate steering committee meetings, secure key decisions, and drive alignment among senior executives, data officers, and business sponsors

Budget & Financial Management

• Own project budgets, including forecasting, tracking, variance analysis, and cost control for data infrastructure, software licensing, cloud resources, and consulting services.

• Manage CAPEX and OPEX allocations, ensuring data analytics projects are delivered within approved financial parameters.

• Provide regular budget reports to steering committees and finance partners.

Stakeholder Management

• Engage and influence senior stakeholders across business intelligence, data governance, technology, risk, compliance, and business units (e.g., finance, risk, marketing, treasury).

• Act as the primary point of contact for regional data project sponsors, business leads, data vendors, and analytics partners.

• Navigate complex organizational structures to secure buy-in, resolve conflicts, and maintain project momentum.

Requirements

• Bachelor's degree in Computer Science, Data Analytics, Information Systems, Finance, or a related field. MBA or PMP certification is highly preferred.

• 10+ years of project management experience in banking or financial services, with at least 5 years managing regional data analytics or business intelligence projects.

• Proven experience leading steering committee meetings and presenting to C-suite, Chief Data Officers, and senior executives.

• Strong track record of managing project budgets (both CAPEX and OPEX)

• Deep understanding of the full project lifecycle for data analytics projects, including data sourcing, ETL/ELT, data modeling, reporting, and visualization.

• Hands-on experience with QA processes for data projects, including data validation, ETL testing, UAT coordination, and defect management.

• Familiarity with data analytics technologies such as SQL, Python, Tableau, Power BI, Snowflake, Databricks, or similar platforms.

• Exceptional stakeholder management skills, with the ability to influence across business, technology, data governance, and risk functions.

• Proficiency in project management tools (JIRA, MS Project, Confluence, or similar).

• Excellent communication, negotiation, and problem-solving skills.

• Ability to travel regionally as required.
  

  Interested candidates please email your latest resume to subagio@tangspac.com