Total 4,025 data entry clerk job vacancies in Information Technology category in Singapore

We are seeking a highly skilled, detail-oriented, and analytical Data Management and Reporting Data Analyst to join our team. The successful individual will play a vital role in ensuring the organisation’s compliance with regulatory requirement through accurate and timely data analysis and reporting. He/she will also be responsible for collecting, extracting, managing, and analysing data to provide insights that drive decision-making and enhance the organisation’s operations.

The Challenges:

• Collect, extract, clean and manage data from various sources
• Ensure data accuracy, integrity, and security
• Design, develop and maintain database to efficiently store, manage, and secure structured data for easy retrieval, analysis, and decision-making
• Prepare, review, and submit regulatory reports to relevant authorities
• Monitor changes in regulatory requirements and adapt reporting processes accordingly
• Collaborate with cross-functional team to gather data and report requirements
• Create and maintain comprehensive reports and dashboards
• Perform data analysis to identify trends, patterns, and anomalies
• Interpret data and provide actionable recommendation for process improvement
• Present data insights and communicate findings, results, and recommendations to stake holders
• Develop and maintain documentation of data processing and reporting processes
• Provide insights and recommendation to improve compliance and reporting efficiency
• Continuously improve and automate the data extraction, integration, and database management processes
• Contribute to the development of data related strategy and initiatives
• Provide project management support in IT related projects that the department is involved with
• Carry out any other duties or responsibilities assigned by the Supervisor and/or the Head of Department

What it Takes:

• Bachelor’s Degree in Computer Science, Data Science, Data Analytics, Statistics, or a related field
• At least 2 years of relevant working experience in Data Management and Reporting
• Proficiency in data management tools and software (e.g. SAS, R, MS Excel, MS Access, Python, SQL query)
• Proficiency in data visualisation tools (e.g. Tableau, Power BI, QlikView/Qlik Sense)
• Prior hands-on experience in using OAS/OBIEE to create dashboards and to generate comprehensive reports preferred
• Prior hands-on experiences in UiPath (RPA software) will have added advantage
• Preferably work experience in health-related setting such as hospitals, public health organizations and academic institutions
• Ability to work in a team and independently with minimal supervision
• Work beyond routine work responsibilities and office hours, in the exigencies of services (e.g. during infectious disease outbreaks and mass casualty incident)

Sarah

Reg No: R2198293

EA License No: 21C0501

*We regret to inform that only shortlisted candidate will be notified. Thank you.

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Responsibilities:

• Collaborate with business partners to understand business needs and functional requirements, translating them into Hadoop-based solutions.

• Ensure seamless integration and management of large datasets, working with HDFS, Hive, HBase, Apache Kudu, and other Hadoop ecosystem tools to implement efficient data processing workflows.

• Utilize Hadoop job schedulers such as Oozie and Run Deck to streamline job scheduling, execution, and workflow management.

• Leverage cloud data services like Azure and GCP (BigQuery, BigTable, DataProc) to integrate and process large-scale data sets on cloud platforms.

• Expertly use Sqoop, Apache Nifi, and other data ingestion tools to import and export data from various SQL and NoSQL databases.

• Apply Big Data analytics techniques to derive actionable insights from vast and complex datasets, enabling data-driven decision-making.

• Mentor and guide junior developers and team members, providing technical expertise and support to ensure the timely and successful completion of tasks.

• Regularly communicate project status and provide solutions to meet evolving business requirements, ensuring the delivery of high-quality Big Data solutions.

Requirements:

• B.Tech. in Computer Science or Data Science

• 10+ years of hands-on experience working in the Hadoop ecosystem with expertise in HDFS, Hive, Sqoop, Oozie, Impala, Spark, Pyspark, HBase, and Apache Kudu.

• Strong hands-on experience with Azure Data Services (Blob Storage, HDInsight, Azure SQL, Delta Tables) and GCP services (BigQuery, BigTable, DataProc).

• Proficient with data processing tools such as Spark, Kafka, Pig, and Apache Nifi.

• Expertise in scheduling and managing jobs using Oozie, Run Deck, and Cron jobs.

• Strong experience with NoSQL and SQL databases like Hive, HBase, Apache Kudu, and MySQL.

• Strong programming skills in Python, Java, and shell scripting to automate processes and workflows.

• Experience with version control tools like Git, TFS, and SVN.

• Experience with Cloudera and HortonWorks Hadoop distributions.

• Familiarity with BI tools for data visualization and reporting (e.g., Tableau, Power BI).

• Knowledge of advanced frameworks like Apache Kafka, Apache Flume, and Apache Solr.

• Strong analytical and problem-solving skills with the ability to quickly adapt to new technologies and complex data challenges.

• Proven experience in leading teams and mentoring junior developers and engineers.

Salary: up to $3700

Duration: 8 months

Working Days & Hours: Mon-Fri Office Hours

Location: Bugis

Job Description:

• Define principles and implement logic for computation of variable cost components at geographical, trade level, in order to derive a standard cost box rate by equipment size type for every port-pair combination
• Continual enhancement of costings logics in order to adapt to the changing market landscape and to drive optimal pricing and cargo selection decisions
• Perform regular analysis to identify and report any variances between the calculated costs and actual shipping operations costs
• Perform periodic assessment and analysis of equipment situation at each location to determine the equipment balance assumption and repositioning costs applied in system.
• Collaboration with multiple stakeholders from regional offices, local agents, procurement, finance, trades, etc to provide accurate cost information in system
• Provide business requirements to Information System Department for any analysis of backend data and development of system enhancement to improve costing accuracy

Job Requirements: Min Degree in Maritime / Data Science / Statistics or similar

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Duration: 1 year

Location: Caldecott

Working Hours: Monday - Thursday 830am to 6pm; Friday 830am to 530pm

Responsibilities:

• Support in administrative tasks such as maintaining and updating of data.
• To process simple data cleaning and analysis.
• Support the team in liaising with different agencies to coordinate meeting dates and to obtain the required updates.

Requirements:

• Singaporean
• IT degree and experience in Python.
• Detail-oriented.
• People-oriented.
• Able to process and structure large amounts of information.

To apply, simply click "APPLY" and submit your curriculum vitae (CV) through GO, the official PERSOLKELLY job application platform.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23114622 So Man Xin

Key Responsibilities

Business Understanding

• Conduct thorough business requirement analysis to bridge the gap between business needs and technical solutions.
• Understand business processes and systems to support various functions such as Finance, Commercials, and Operations.
• Serve as a liaison between business and technical users, ensuring effective communication and understanding.

Azure Data Engineering

• Develop and maintain data pipelines using Azure Data Factory.
• Utilize Azure Synapse Analytics/Datawarehouse for data processing and analysis.
• Collaborate on projects leveraging Microsoft Azure Data Engineer Associate certifications (preferred).

Data Ingestion & Modeling

• Perform data ingestion tasks using Data Factory, T-SQL stored procedures, and data harmonization techniques.
• Implement and validate data quality checks to ensure accurate outputs.
• Design data models in Azure Analysis Services using star and snowflake schemas.
• Create dimensions and measures using DAX queries.
• Utilize Python for advanced data transformations and processing (preferred).

Technical Support

• Provide technical support (80%) and enhancements (20%) for existing Azure applications.
• Address system issues by identifying root causes and resolving them in a timely manner.
• Trace processes end-to-end to verify data accuracy and ensure seamless operations.
• Maintain documentation and logs for issue resolution and enhancements.

Others

• Utilize Microsoft Office products effectively to document processes and communicate updates.
• Stay updated on the latest tools and techniques in Azure data engineering.

Qualifications

• 3+ years of experience in Business Requirement Analysis and Process/System Understanding.
• 2+ years of hands-on experience as an Azure Data Engineer using Azure Data Factory and Azure Synapse Analytics/Datawarehouse.
• Strong knowledge of data modeling and data validation techniques.
• Technical proficiency in DAX, Python, and Azure Databricks (preferred).
• Familiarity with providing technical support and resolving issues in Azure-based production systems.
• Relevant Microsoft certifications, such as Azure Data Engineer Associate, are an advantage.

EA License Number: 11C4879

We are seeking a skilled and experienced Risk Data Business Analyst to support the enhancement, implementation, and ongoing support of risk data-related projects.

Responsibilities:
• Translate complex risk data requirements into detailed specifications for the technology teams.
• Design and execute User Acceptance Testing (UAT), including test strategy development and scenario creation.Independently resolve UAT issues and provide support to end-users.
• Investigate and resolve production-related queries and issues.
• Manage project timelines effectively, ensuring adherence to deadlines.
• Collaborate with cross-functional teams, including technology, upstream and downstream system teams, and project stakeholders.

Qualifications:
• Minimum 2 years' experience in a similar role, preferably within the banking and financial services industry.
• Proven experience in large-volume data testing and a strong understanding of data marts/data warehouses.
• Proficiency in SQL is mandatory. Experience with Python and Big Data systems is a significant advantage.
• Familiarity with Agile product development methodologies.
• Experience with Consumer Credit Risk and banking products is highly desirable.

If you are a highly motivated individual with a strong analytical skillets and a passion for data, we encourage you to apply.

You can apply at [email protected]

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with UOB BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Internal Code: AXI25001

*Internship period: At least 5 months, from January 2025

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We create evidence-based, personalised health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

• Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
• Perform on-site or off-site data collection, data organization, storage and processing
• Develop data-driven solutions and insights based on data mining, statistical modelling and machine learning methods
• Perform algorithm testing and validation
• Documentation of research, experiments and modelling findings/results
• Opportunity to be the co-author of our research publications

What are we looking for?

• Year 3 or final year in Data Science, Computer Science, Computer Engineering or related discipline
• Passionate about data science and good working knowledge of Python, SQL and R
• Good understanding or experience in signal processing and machine learning is required
• Keen interest in digital healthcare, wellness and fitness domain
• A 'go with the flow' and positive attitude, adaptable to change and energetic
• Passionate about learning and working with new technologies
• A natural tenacity, resilience and determination

Summary:
We are seeking a motivated analyst to support client growth through financial innovation. You will collaborate with various teams to understand commercial initiatives and work with data engineering, data science, and development teams to empower finance operations and decision-making.

Responsibilities:

• Data Collection & Analysis: Analyze data from multiple sources to identify trends and insights.
• Data Quality Assurance: Ensure data accuracy and resolve discrepancies.
• Collaboration: Work with cross-functional teams to gather data requirements and maintain data integrity.
• Enhancements: Identify opportunities for process improvements.
• Research & Learning: Stay updated on business processes and data analytics techniques.

Minimum Qualifications:

• 2-4 years of experience in consulting, finance, or data analysis.
• BS/MBA in Finance, Accounting, Economics, Business Analytics, or a STEM field.
• Strong problem-solving, communication, and project management skills.
• Ability to conduct complex data analysis independently and collaboratively.
• Eagerness to learn new tools and techniques.

Preferred Qualifications:

• Knowledge of accounting principles, financial statements, and financial modeling.
• Familiarity with ERP systems (e.g., SAP) and data warehouses (e.g., BigQuery, Snowflake).
• Experience with SQL, R, Python, and data visualization tools (e.g., Tableau).
• Ability to apply statistical or machine learning solutions to business problems.

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret to inform that only shortlisted candidates will be contacted.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

Position

Data Security Expert is a technical expert role within the Data Security Services team and will be responsible for managing, administration and supporting the Data Security and Endpoint Security technologies for the bank.

Person will be the technical point of contact for the Run team and the related activities to data security and will be the last level of escalation for the Security specialists in the team. He/She is also responsible for the technical transition and validation of Security services from other regions to Singapore. He/She will be involved in projects and POC’s that may involve security services. He/She works with continuous improvement principles. He/She is equivalent to the Subject Matter Expert on the technologies within data security.

Data Security Services team in Singapore is responsible for day-to-day operational services on the infrastructure of Europe (mainly France and UK) and Asia remotely from Singapore. France infrastructure represents approximately 80% of the worldwide production activities of the company in Singapore.

Team works in Europe time zones and this role will be aligned primarily to Paris working hours. Flexible rotations are followed based on the nature of duties.

The operational support of the team covers the following technical scope:

• Endpoint Security technologies – Anti-virus management, Host Intrusion Prevention System etc.
• Data Leak Prevention systems. - Email Prevent, Web Prevent, Endpoint Protect,
• Encryption Solutions: Disk Encryption, File and Folder encryption,
• Database Audit Monitoring solutions
• Email and Web Phishing Prevention solutions.
• Vulnerability Management

Responsibilities

The Expert has a wide spectrum of responsibilities and actions. Person will be responsible for following (but not limited to) responsibilities in day-to-day work:

As the Expert of the team, he/she:

• act as the last level of escalation for the team members
• own Incident, Problem and change management process for the team
• assigns technical tasks and manages delegation
• animates the team to encourage collaboration and sharing of practices
• participates to recruitment process for the team

As the Expert of his/her scope of activity, he/she:

• is actively involved in incident management (fault investigation, resolution escalations of all monitoring alerts and user initiated problem calls/tickets) and request management
• Is the final technical approver for any changes into Data Security systems and is accountable for any technical changes in the environment from a RUN/BAU perspective
• Is involved in projects like End of Life, New Builds, migrations and technical upgrades of the solution managed by the team
• Participates in global Infra events (like Power down and DR Tests)
• ensures activity is performed in compliance with norms, standards, processes and procedures
• gathering required evidence using multiple forensic tools to investigate any data leak incident, conducting interrogation if required, case closure and reporting
• ensures documentation is up to date and relevant for use
• lead the continuous improvement initiatives
• responsible to drive and deliver root cause for any high severity issues
• Focus on automation and optimum use of the team to improve efficiency
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role.
• Complete all mandatory training as required to attain and maintain competence
• Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the Singapore Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer.

Qualifications and Profile

Functional

• 5 - 7 years of IT Security experience in administration and management of IT Security technologies primarily Endpoint Protection, Email Security and DLP, Data Classification and other endpoint & data security solutions;
• Knowledge of different domains of IT Security;
• Working & hands-on experience in administering the IT Security Solutions;
• Must have experience in working in similar Production setup in Run (Operations) mode;
• Ability to apply risk based approach while working on assigned responsibilities;
• Experience in defining, implementing, and enforcing enterprise-level IT security policies for endpoint and data security solutions;
• Must have working experience in managing endpoint security solution for a Large enterprise level environment, working experience in financial organization is preferred;
• Excellent in analytical, communication and documentation skills;
• Ability to organize work and be able to priories work as per the needs of Production Operation’s needs;
• Must have strong understanding of ITIL processes and comfortable working in process oriented environment;
• Ability to work independently and as well as a part of team and is able to work under minimal supervision;
• Should have time management skills and able to manage work in fast moving environment;
• Excellent written and oral English language skills;
• Knowledge of French language is preferred.

Technical

• Hands-on experience on Symantec Data Loss Prevention (DLP);
• Highly proficient overall security solutions like, Endpoint Protection, Email Security and Vulnerability Management;
• Deployment, integration and administration experience of various components of Symantec DLP:

- Symantec Endpoint Protect

- Symantec Web Prevent

- Symantec Email Prevent

- Symantec Enforce

• Good to have experience in defining, designing and configuring DLP Policies as per the business requirements;
• Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;
• Deploy, Upgrade and troubleshoot on DAM Solutions like IMPERVA or Guardium
• Expertise knowledge in Email Security Solutions
• Hands-on to Expertise knowledge in MS Defender for endpoint and or Cloud.
• Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;
• Professional Certifications:
• CISSP certified is highly preferred
• Symantec Certified Expert: Administration of Data Loss Prevention (any version) is highly preferred.
• Must be experienced to cover the scope as mentioned in the SKILLS MATRIX section of this document.

Technical skills

• Symantec Data Loss Prevention Administration (DLP Policy/Rules creation expertise): Good to have
• Database Access Monitoring: Good to have
• Symantec Endpoint Protection (Anti-Virus): Good to have
• Microsoft Defender Suite: Good to have
• Email Security: Knowledge
• Python, Regular Expression, Powershell: Knowledge

General skills

• Ability to prioritize effectively: Must to have
• Ability to work autonomously: Must to have
• Ability to work successfully in a team: Must to have
• Adaptability to changing environments: Must to have
• Inter-personal skills: Must to have

Management skills

• Ability to deal with issues, time management: Critical
• Manage escalated incidents: Critical
• Capacity to cooperate / work across discipline: Critical
• Capacity to develop others: Desired

Language skills

• English: Critical
• French: Good to have

Work Schedule

• Required to work on Paris and/or New York and/or Asia time zone*, i.e. 2pm to 11pm/4pm to 1am (summer season) or 3pm to 12am/ 5pm to 2am (winter season), or in accordance to the planned time schedule as required. If necessary, you may also be required to start work earlier or to extend working hours.
• May be required to be available for on-call support during non-business hours and/or on weekends. Allowance is claimable for such hours.

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

Next Step

Prepare your updated resume and expected package.

Simply click on 'Apply here' or email to [email protected] to drop your resume

All shortlisted candidates will be contacted.

Prasant Sirohi

EA License Number: 91C2918

Registration Number: R22106307

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with UOB BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

JOB SUMMARY

• We are looking for a Lead Data Scientist with strong data and analytical skills. You will be tasked with managing all aspects any new work/project assessments thoroughly from inception to delivery. You will need to build close working relationships with COO business and CDO in order to gather specific modelling requirements and define and scope the work. In addition, as Data Scientist you will also work closely with internal staff, clients and 3rd parties.

RESPONSIBILITIES

• You will be building Statistical/Machine Learning models in either Python or R to solve business problems using Advanced Analytics.
• You will be presenting results of your analysis and interpreting outputs of your models to give recommendations to the stakeholders.
• You will be maintaining and documenting produced code and modelling process.
• You will be working with data engineers to prepare and integrate data from various data sources.
• You will be helping data engineers and ML engineers with model deployment.
• You will be cooperating with (both technical and non-technical) from various Bank departments to adjust analytics solution to the business needs.

Strategy

• Delivering, building and maintaining the Data Driven solutions that are core to Group Operations strategy.

Key Responsibilities

Business

• Design Machine Learning, Natural Language and Decision Optimisation applications architecture.
• Design ML, NLP and DO models, algorithms for predictive & prescriptive analytics.
• Translate business requirements to reporting dashboard and analytics.
• Perform advanced analytics and statistical modelling on structured and unstructured data.
• Work with software engineers to integrate and deploy AI applications.
• Assist in the creation of data definitions for new database file/table development and/or changes to existing ones as needed for analysis.
• Support the business with clear and insightful analysis applying advanced modelling techniques leveraging the data at hand

​​​​​​​Processes

• Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements.

People & Talent

• Lead through example and build the appropriate culture and values.

Risk Management

• Adhere to current data related policies and standards.

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

• COO Business, CDO, internal staff, clients and 3rd parties

Other Responsibilities

• Embed Here for good and Group’s brand and values in SCNXT Data Science team; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures;

Our Ideal Candidate

• 3+ years of experience in the data science field.
• Preferably higher education in one of the following fields: Math / Quantitative Methods / Econometrics / Information Systems, Physics.
• Solid experience in at least one of the following programming languages: Python or R.
• Experience in application of statistics, classification, regression, segmentation and dimensionality reduction methods and preferably in any of the following data science related areas: econometrics, time-series analysis, optimization methods, Bayesian statistics, natural language processing.
• Solid understanding of most of the following algorithms: linear regression, logistic regression, decision and regression trees, random forest, boosting algorithms (e.g.: XGBoost), k-means, hierarchical clustering and principal component analysis.
• Solid understanding and knowledge of the following data science concepts: bias-variance trade-off, regularization, model evaluation metrics, cross-validation, bootstrapping, hyperparameter tuning, feature selection, feature engineering.
• Experience in relational databases using SQL.
• Experience in data visualisation.
• Experience with version control systems (e.g. GIT).
• Experience in cloud technologies.
• Experience in ML Ops.
• Experience with ETL and data engineering.
• Experience with Spark and other big data technologies.
• Knowledge of graph databases and knowledge graph applications in data science is a plus (e.g. Neo4j).

Role Specific Technical Competencies

• Data Analysis
• Artificial Intelligence
• Machine Learning
• Python Scripting
• Business Analytics

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Administrator
• Working Location: Benoi
• Working Hours: 5 days (9 am-6 pm)
• Salary Package: Basic Salary $2,500 + AWS + PB + Transport Provided
• Duration: Permanent Role

Key Responsibilities

• Verify trailer/prime mover number, model, and company name.
• Check if an inspection is required and whether the customer uses our account or their own.
• Upload before and after repair photos, ensuring all billable items have photos.
• Review all WhatsApp messages to ensure every completed job is accounted for and submitted in Kintone.
• Verify repair/maintenance job scope. If issues are unclear, confirm with workshop workers to avoid preparing incorrect DO.
• List all job scopes from Kintone in the maintenance report.
• Email the maintenance report to the customer and billing department.
• Perform any other ad hoc tasks assigned by your superior.

APPLY NOW!!!

• Minimum ITE qualification.
• Minimum 1 year of experience in data entry or related field.
• Experienced in Kintone is advantageous.
• Excellent communication skills with clients.
• Willingness to learn.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #68538 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

JOB DESCRIPTION

Job Title

Quantexa Data engineer

Occupation

Data engineer

Job Description & Requirements

About the Client:

Our client is a leading Information Technology (IT), consulting, and business process services company.

Responsibilities:

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.
• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.
• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.
• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.
• Monitor and optimize data workflows for performance, reliability, and scalability.
• Document data processes and ensure best practices in data engineering are followed.
• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirement:

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.
• Proficiency in Elasticsearch for search and analytics applications.
• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Strong SQL skills and experience with relational databases.

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret that only shortlisted candidates will be contacted.

PERSOLKELLY Singapore Pte Ltd • EA License No. 01C4394 • EA Registration No. R24125310 (PARAMATASEEMA NAVEEN RAJANNA)

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

“By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an emailto let us know. Please feel free to contact us if you have any queries

The successful candidate will play a pivotal role in designing and implementing solutions for automating data services processes. This position requires strong technical expertise, analytical problem-solving skills, and effective collaboration within a team-oriented environment.

Key Responsibilities:

• Develop, deploy, and maintain automation solutions for data services.
• Write efficient and maintainable code using Python, SQL, and PL/SQL.
• Leverage CI/CD pipelines to enhance deployment and automation processes.
• Work with data warehouses such as Snowflake and Oracle to optimize data workflows.
• Collaborate with cross-functional teams to analyze requirements and deliver effective solutions.
• Troubleshoot and resolve issues in automation systems and data pipelines.
• Contribute to the continuous improvement of existing processes and technologies.

Mandatory Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proficient in Python, SQL, and PL/SQL.
• Experience with CI/CD pipelines for automation and deployment.
• Familiarity with data warehouses like Snowflake and Oracle.
• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.

Preferred Qualifications:

• Experience in data engineering or data services roles.
• Familiarity with cloud platforms and big data technologies.

EA License Number : 11C4879

Overview:

As a Power BI reporting Lead (Sr Cons, Data Engineering), you will spearhead our efforts to transform and elevate our data visualization and reporting capabilities. Your expertise in Power BI, coupled with your experience in report migration, will be instrumental in guiding our organization through the transition from various platforms to Power BI. You will lead a team dedicated to creating insightful, dynamic reports and dashboards that empower decision-makers with real-time data.

Key Responsibilities:

• Design, develop, and maintain advanced Power BI reports and dashboards.
• Lead the migration of reports from other BI tools (such as Tableau, Qlik, Excel, etc.) to Power BI, ensuring accuracy, efficiency, and minimal disruption to business operations.
• Work closely with business stakeholders to understand their data visualization needs and translate business requirements into technical specifications.
• Establish and enforce best practices for Power BI report development, including data modeling, data blending, and visualizations.
• Provide technical leadership and guidance to the Power BI team, including training and mentorship.
• Collaborate with IT and data management teams to ensure seamless data integration and compliance with data governance standards.
• Stay abreast of the latest Power BI features and updates, evaluating and implementing them to enhance our reporting capabilities.
• Manage the Power BI service, including workspace administration, report publishing, and user access management.
• Conduct performance tuning and optimization of Power BI reports to ensure fast load times and a smooth user experience.
• Document all report migration processes and develop guidelines for future migrations.

Required Skills and Qualifications:

• Bachelor’s degree in computer science, Information Technology, Data Analytics, or a related field.
• Minimum of 8 years of experience in data analysis and report development, with at least 5 years focused on Power BI.
• Proven experience in migrating reports from other BI platforms to Power BI, including knowledge of different migration tools and techniques.
• Strong understanding of data modeling, SQL, and DAX.
• Excellent analytical and problem-solving skills, with the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
• Demonstrated ability to lead and mentor a team of analysts or developers.
• Excellent communication and interpersonal skills, with the ability to interact effectively with all levels of the organization.
• Experience with data governance and compliance requirements.
• Familiarity with Power BI administration and workspace management.

Preferred Skills and Qualifications:

• Certification in Power BI or other relevant BI tools.
• Experience with cloud data platforms (e.g., Azure, AWS, Google Cloud).
• Knowledge of Python or R for data analysis and visualization.

About Pinterest:

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.

We are looking for an experienced Data Scientist to join our team and help us grow our international advertising business, international expansion is critical to Pinterest success. As a key member of our team, you will be responsible for developing and implementing innovative and effective data-driven strategies that can significantly enhance decision-making. Accuracy, a keen eye for detail, and a hands-on approach are essential qualities that we are looking for in this role. This role collaborates with Product Managers and Engineering to find the best ways to grow this critical advertising group.

What you’ll do

• Deep strategic analysis to answer core questions such as: How can we help advertisers see better performance? Why do SMB advertisers churn? Who should our target audience be?
• Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement and investment.
• Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
• Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric
• Improve machine learning models which power notifications delivery and content, via direct contributions, new features/signals, and/or compelling analyses.
• Leadership and Partnership: Lead the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Partner with cross-functional teams to ensure they are held to rigorous data standards and are using data to aid each decision being made.

What we’re looking for:

• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
• Strong background in statistics, machine learning, and/or experimentation
• Domain knowledge in advertising and product development
• Proven ability to apply scientific methods to solve real-world problems on web-scale data
• Proficiency in SQL/Hive/Python
• Strong proficiency in both English and Mandarin for effective communication with internal teams and external partners.

The best candidates will also have:

• Strong sense of ownership, willingness to dive in and do work, even if it's not the most glamorous, to get the job done. Can work with dirty data sets, do manual labeling, and improvise as needed to work around problems. Works quickly and efficiently, doesn't think any work is below them.
• Impact-driven mindset. Proven track record of making things happen.
• Technical proficiency. Can write efficient SQL queries for many-to-many datasets without erroneous duplication; familiar with left outer join and why it would be useful. Able to write basic code but needn't write elegant solutions to the sorts of algorithm questions often found in coding interviews.
• Strong business / product sense. Ability to ask the right questions (why the work is important, what decisions will help inform it, what an 80% solution will look like). Can explain why past work done was important and justify decisions made. Wants work to be practically applicable and have product impact in the short- to medium-term (< 6 month).
• Data skepticism and curiosity. Doesn't think data or a model can solve every problem; digs into anomalies and wants to understand them. Identifies issues in datasets.
• Strong communication skills. Explains work and thought processes clearly and concisely.
• Desire for simplicity. Don't strive for perfection when a simple solution will do the job. Recognizes that linear models and plain old counting can be very powerful.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• As such, this role will need to be in the office or in front of our customers for in-person collaboration, typically 2 days per week, and therefore needs to be in a commutable distance to our Singapore City based office.

Our Commitment to Diversity:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Business Understanding At least (3) years of relevant experience in:
- Business Requirement Analysis
- Business Process and System Understanding
- Effective Communication with both business and technical users
Azure Data Engineering At least (2) years of hands-on experience as Azure Data Engineer using:
- Azure Data Factory
- Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;
Data Ingestion & Modelling At least (3) years of hands-on experience in
- Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
- Implementing Data Quality validation
- Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience
Others Conversant in Microsoft Office products

The Data Analytics Lead will spearhead the analytics team, ensuring that data-driven insights are effectively used to shape company strategy and drive business outcomes. This role requires a deep understanding of data modeling, reporting, and analytics tools to enhance decision-making across various departments. The ideal candidate will have a proven ability to work cross-functionally and deliver high-quality analytics projects.

Key Responsibilities:

• Lead and manage the data analytics team to deliver actionable insights that support business decisions and improve company performance.
• Develop and implement analytics strategies and frameworks to solve complex business problems.
• Oversee the design, development, and maintenance of data pipelines, dashboards, and reporting systems.
• Collaborate with cross-functional teams (e.g., Product, Marketing, Finance) to identify data needs and translate business requirements into technical specifications.
• Ensure data integrity and consistency by defining best practices for data collection, storage, and analysis.
• Mentor and provide technical guidance to junior team members to enhance their analytical and technical skills.
• Present findings to senior management, providing strategic recommendations based on data insights.
• Stay updated on industry trends, emerging technologies, and best practices in data analytics to continuously improve the team’s capabilities.

Qualifications:

• Bachelor's or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 5+ years of experience in data analytics, with a minimum of 2 years in a leadership role.
• Strong expertise in data analytics and visualization tools, SQL, Python, R, Tableau, Power BI etc.
• Experience with data warehousing solutions, cloud platforms and ETL processes.
• Excellent problem-solving skills, with a proven ability to analyze complex datasets and communicate findings in a clear, actionable manner.
• Bilingual proficiency in English and Chinese, enabling effective communication across multilingual teams and stakeholders.

Duration: 1 year

Location: Caldecott

Working Hours: Monday - Thursday 830am to 6pm; Friday 830am to 530pm

Responsibilities:

• Support in administrative tasks such as maintaining and updating of data.
• To process simple data cleaning and analysis.
• Support the team in liaising with different agencies to coordinate meeting dates and to obtain the required updates.

Requirements:

• Singaporean
• IT degree and experience in Python.
• Detail-oriented.
• People-oriented.
• Able to process and structure large amounts of information.

To apply, simply click "APPLY" and submit your curriculum vitae (CV) through GO, the official PERSOLKELLY job application platform.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23114622 So Man Xin

Contract: 12 months

Location: Caldecott

Responsibilities

• Support in administrative tasks such as maintaining and updating of data.
• To process simple data cleaning and analysis.
• Support the team in liaising with different agencies to coordinate meeting dates and to obtain the required updates.

Requirements

• Degree
• Experience in Python
• Able to process and structure large amounts of information.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/10214

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

About the company

CGS International Securities Pte. Ltd. (CGS International) is an award-winning and market leading integrated financial services provider, ranked among the top securities houses in Asia.

CGS International taps on our wealth of global and ASEAN insights to offer equities trading, leveraged products, wealth management, investment banking, equities research, Shariah-compliant financing, fixed income, currency and commodities, structured products and prime brokerage services in over 15 countries and regions.

Along with its parent organisation China Galaxy Securities, a leading securities house in China, CGS International is trusted by more than 15 million customers globally.

Job Description

• Assist in organizing and maintaining data governance documents and policies.
• Help monitor data quality and flag any issues.
• Support the team in maintaining data records and updating data dictionaries.
• Work with different teams to resolve simple data-related issues.
• Assist in generating reports on data quality and governance activities.
• Assist in the activities related to Data Governance framework implementation within CGSI group.

Job Requirements

• 0-2 years of experience in data management or related field.
• At least Diploma in Computing or a related field.
• Basic understanding of data management/governance concepts
• Strong organizational skills
• Familiarity with Microsoft Excel or basic data tools is a plus
• Good communication skills
• Preferably has experience working with cross-geographical teams
• Proactive
• Keen to learn
• Has an eye for detail
• Willing to share and collaborate

Job Description & Requirements

Responsibilities

• Perform document related activities, eg. Sorting, preparation, scanning
• Perform data entry of materials
• Able to work as a team
• Other related duties assigned

Requirements

• Basic typing skills
• Good computer knowledge
• Candidates who are willing to work at other area are encouraged to apply
• Able to start work immediately preferred
• Training provided

Available options:

• Night shift: Monday to Friday, 09:00am - 6:00pm

Work location

• 1001 Jalan Bukit Merah

Salary :

- nigt shift allowance

- pay rate according to load of work (per carton done)