Total 4,191 data entry clerk job vacancies in Singapore

We are hiring multiple Retail Assistants for established international lifestyle and retail brands. Join a dynamic retail environment with attractive benefits, training opportunities, and career progression.

Summary:

• Basic $2300 - $2500

• 5-day work week; 44 working hours per week

• Industry: Optical/ Retail Lifestyle and Consumer Goods

• Attractive employee benefits

• AWS ; 14 Days Annual Leave

Job Scope:

• Provide excellent customer service and assist customers with product enquiries and recommendations.

• Promote products and support sales activities to achieve store targets.

• Handle cashiering duties, including payment processing and basic POS transactions.

• Replenish stock, arrange merchandise displays, and ensure products are well-presented.

• Maintain store cleanliness, tidiness, and visual merchandising standards.

• Assist in stock receiving, inventory checks, and stock replenishment.

• Build positive customer relationships and deliver a good shopping experience.

• Support day-to-day retail operations and perform ad-hoc duties as assigned.

Job Requirement:

• No experience needed – comprehensive training provided.

• Candidates with relevant experience are encouraged to apply.
  

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Jasmine Wong (R22107578)

Reporting into the Supply Chain Services Manager, Supply Chain Services Team is responsible for the design, deployment and adherence to key systems, tools and processes used by our client’s Global Supply Chain Teams. As a key member of this dedicated team, you’ll play a vital role in managing and enhancing these systems and processes, ensuring that they effectively empower our client’s Global Supply Chain operations.

As a key member of the team, you will ensure the seamless operation and improvement of our client’s Supply Chain Services Programs. Reporting directly to Supply Chain Services as an individual contributor, you will play a pivotal role in maintaining, supporting, and advancing our client’s applications.

Job Responsibilities

Maintenance and Support

• Develop new and maintain or update existing Power Apps and Power Automate flows for peak performance.

• Keep a close eye on application health, addressing issues swiftly and implementing enhancements.

• Identify and evaluate opportunities for improvement, ensuring accuracy in data and reports.

Issue Resolution

• Provide expert assistance to associates using Power Apps, Power Automate flows, Power BI, and SharePoint.

• Diagnose and resolve application issues promptly, documenting solutions for future reference.

User Training and Documentation

• Empower associates by training them on Supply Chain tools and applications.

• Develop and maintain user guides, FAQs, and conduct training sessions to ensure user proficiency.

Collaboration

• Work closely with the Program Lead to align on application requirements and updates.

• Participate in team meetings, contributing to the enhancement of processes and tools.

Compliance

• Ensure all activities comply with company policies and procedures.

Requirements:

• Proficiency with Power BI, Power Apps, and Power Automate.

• Innovative approach to solving complex enterprise challenges.

• Ability to convey technical information to non-technical users.

• Meticulous approach to data accuracy and application performance.

• Good foundational skills in HTML/CSS.

• Deep understanding of best practices in database management.

• Skills in SQL DB, Data Engineering, Data Analytics & python programming.

• Excellent stakeholder management and communication abilities.

• Solid grasp of analytical tools.

• Quick learner, adept at adjusting to new technologies and requirements.

• Knowledge of key business processes within supply chain is a plus.

Warehouse Lead (Logistics & Materials Management)

Drive Efficient Warehouse Operations Supporting Global Technology Manufacturing

What You'll Be Doing

• Supervise daily warehouse operations, including receiving, storage, picking, packing and inventory control.

• Lead and coordinate warehouse associates to achieve operational targets.

• Ensure accurate inventory management and stock movements.

• Conduct daily team briefings and monitor productivity.

• Maintain warehouse safety standards and compliance requirements.

• Investigate and resolve operational issues promptly.

• Train and develop warehouse team members.

• Collaborate with Production, Quality, and Logistics teams to support business needs.

What We're Looking For

• Minimum 2–3 years of Team Lead or Supervisory experience in warehouse or logistics operations.

• Experience in manufacturing, electronics or supply chain environments preferred.

• Good understanding of inventory management processes.

• Basic Microsoft Office skills.

• Strong communication and leadership abilities.

• Able carry up to 20kg and comfortable working in a warehouse environment.

• Able to work rotating shifts.

Why Join Us?

• Stable employment with a global technology manufacturer

• Career advancement opportunities

• Exposure to high-tech server and AI infrastructure manufacturing

Salary: Up to S$4,000 + Shift Allowances + Bonuses

Working hours: 4 days/42hrs per week, 12hrs shift, Permanent Sunday Off, Day/Night shifts

APPLY NOW – with your resume to athirah.rosli@crew.sg , +65 88914996

*Only shortlisted candidates will be contacted.

CREW by HRNet | HRnet Ventures Pte Ltd (24C2435)

Athirah Bte Rosli (R2197227) | Branson Yong (Outsourcing Team)

We are hiring the headcount under Recruit Express.

1. Support General Price Increase (GPI) Exercise

• Assist in compiling monthly incentive plans for Global Customers’ GPI review.

• To clarify pricing terms.

2. Maintenance of Rates

• Support rate setup or updates in Express Billing

• Assist in the central implementation of the annual general price increase for Global Customers.

• Cross-check rates update in GRE to ensure accuracy

3. Maintenance of Global Agreements

• Maintain and review fuel terms for Global Customers, executing updates and communicating changes to Sales.

• Support post-activation maintenance activities

• Update Global Customer Agreement information

Requirements:

• Diploma/Degree (preferred) in any field with strong analytical background

Interested candidates please send in your resume to:

Reina Patricia Johan
Outsourcing Team
Recruit Express Pte Ltd
Email: reina@recruitexpress.com.sg

EA License No: 99C4599

• Support data management and enhancement activities to improve data accuracy and usability

• Maintain and develop data warehouse and data automation processes

• Collaborate with internal stakeholders to gather business and system requirements

• Support system implementation, integration, and user testing activities

• Prepare and document business requirements and data specifications

• Monitor data quality and investigate discrepancies for continuous improvement

• Ensure reliable data availability for reporting and business analysis

• Assist in projects related to information systems and data initiatives

Interested applicants may email resume to kellychooi@recruitexpress.com.sg

Chooi Kelly (CEI Registration No: R25136207)

Recruit Express Pte Ltd (EA: 99C4599)

We regret only shortlisted candidates will be contacted

• Working hrs: Mon - Fri, 8am - 5pm
• Location: Ubi (Nearest MRT: Macpherson)
• Salary: Up to $3k
• Start from 3-month contract, convertible based on performance & business needs

Job Descriptions

• Assist in helping enter data for the PO/DO/Invoice (for the sales support/customer service function)
• Start with 3-month contract, convertible to perm based on performance & business needs
• Experience in electronics manufacturing environment is advantage

Requirements

• Admin/ Data entry experience
• Proficient in Microsoft office & computer literate
• Experience in sales support/customer service functions is advantage

HOW TO APPLY:

Interested applicants, kindly click on “APPLY NOW” or send your resume in MS WORD format to hestia.wong(at)trustrecruit.com.sg

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Wong Ying Huan (Hestia)

EA Personnel Reg No: R24122431

Field Service Engineer (Semiconductor Equipment, Entry Level Welcome)

4 days, 12 hours shift

Salary: $2,800 - $3,200

Location: Woodlands

Job scopes:

• Install, troubleshoot, repair & service of semiconductor machinery.
• Carry out regular maintenance, repairing of equipment/machines and follow up on work orders, onsite-support equipment/machines installation
• Serves as company contact point with customer on technical matters

Requirements:

• Diploma/Degree in Electrical /Electronic/ Mechanical Engineering
• 1-2 years working experience in Semiconductor Industry, knowledge of electrical & mechatronics.
• Training Provided

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

Purpose of the role – mission: The Data Scientist role is responsible for designing and managing universe studies, setting up the extrapolation for Retail Panels, documenting methodologies, ensuring quality assurance, and monitoring key performance indicators (KPIs) related to Panel Health. This role requires a strong background in data analysis, statistical modeling, and quality control processes as well as strong production system processes for PoS. This role supports the China market.  

Key activities:  

• Methodology and Universe Studies: Design and manage universe studies, including project management.  

• Document methodologies for transparency and provide clear explanations of existing methods.  

• Review results of universe studies and insert changes in the POS Manager.  

• Conduct impact analysis of universe studies.  

• Design and simulate extrapolation setups for new panels and sign off on the designs.  

• Quality Assurance: Optimize samples by analyzing shop contributions, detecting MDQC (Market Data Quality Check) outliers, meeting target sample requirements, and addressing issues like empty shops and slow sales.  

• Detect and address systematic methodological issues and prepare cleanup impacts for critical findings (end-to-end).  

• Modeling and Extrapolation: Model missing retailers completely outside the system and maintain complex models.  

• Support the setup of modeling missing retailers in the system and hand over to Stat Ops for ongoing maintenance and execution.  

• Implement new country-channel setups, including reviewing channel definitions, designing universes and samples, and providing setup instructions.  

• Quality Monitoring: Resolve Level 2 methodology clarification issues.  

• Monitor KPIs and conduct root cause analysis (RCA) for panel health, focusing on samples, missing retailers, universes, copy shops, and MDQC related to samples and extrapolation.  

• Define and specify improvement points for panel health.  

Job Description: Data Engineer

As a Data Engineer at D-SIMLAB Technologies, you will play a key role in deriving insights from large datasets to optimize semiconductor manufacturing processes. This role focuses on data extraction, analysis, and actionable insights, while collaborating with cross-functional teams to develop and deploy D-SIMLAB’s software products as well as provide professional consultation services to our clients. The ideal candidate is someone who excels in data-driven analysis and is eager to work on high-impact projects in the semiconductor industry.

Key Responsibilities:

• Data Extraction and Analysis:
  Collect, clean, and analyze large datasets from semiconductor manufacturing environments to ensure data consistency, completeness, and correctness.
  Use statistical methods and data mining techniques to identify patterns, trends, and anomalies that impact production performance.
• Performance Evaluation:
  Analyze the gap between planned and actual production outcomes. Identify root causes for performance deviations and recommend data-driven strategies for process improvement. Develop reports and visualizations to present findings to clients and internal stakeholders.
• Data-Driven Insights:
  Provide actionable insights based on data analysis to optimize semiconductor manufacturing processes. Work closely with clients to understand their specific needs and translate data findings into operational and strategic improvements.
• ETL and Data Modeling:
  Build and maintain ETL processes to integrate data from various sources into D-SIMLAB’s data models. Collaborate with simulation modeling teams to ensure accurate and reliable data is fed into models.
• Consultation Services:
  Act as a trusted advisor to clients by offering data-driven recommendations for enhancing their production efficiency. Present analyses and proposals to both technical and non-technical stakeholders, ensuring clarity and actionable takeaways.
• Data Visualization and Reporting:
  Create dashboards and reports using advanced data visualization tools to communicate key insights and trends effectively. Continuously improve reporting mechanisms to provide real-time insights and support ongoing optimization efforts.
• Collaboration with Teams:
  Work with Software Engineers, Data Scientists, and other cross-functional teams to ensure that data insights align with product goals and customer needs. Contribute to product enhancement initiatives, focusing on the improvement of data-related components and analytics.

Candidate Requirements:

• Education:
  Bachelor’s/Master’s degree in Data Science, Industrial Engineering, or a related field.
• Experience:
  Strong analytical skills with a minimum of 3 years of experience in data analysis, preferably in an industrial environment. Semiconductor experience is a plus.
• Technical Skills:
  Proficiency in SQL and Microsoft Excel.
  Experience with data visualization tools (e.g., Power BI, Tableau) is highly desirable.
  Experience with ETL processes and database management.
• Analytical Abilities:
  Strong problem-solving skills and the ability to handle large datasets and deliver actionable insights to improve operational performance.
• Soft Skills:
  Ability to work collaboratively in a multicultural, multidisciplinary team.
  Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Willingness to Travel:
  Willing to travel for international projects and collaborate closely with clients and internal teams.

Please ensure your profile on the portal is updated with your job experience and education as these fields are being used for the purpose of filtering and shortlisting.

This is a full-time role for a Data Engineer. The Data Engineer will be responsible for designing and implementing scalable data pipelines, developing and maintaining data models, performing Extract, Transform, Load (ETL/ELT) processes, and managing modern data warehousing and analytics solutions—primarily utilizing Microsoft Fabric and Databricks. The role also includes building and operationalizing lakehouse architectures, ensuring data governance and security best practices, and analyzing complex datasets to support business decision-making. Collaboration with cross-functional teams to deliver high-quality data solutions is essential. 

Qualifications 

• Strong proficiency in Data Engineering, Data Modelling, and building Lakehouse/Data Warehouse solutions 

• Demonstrates strong proficiency in Medallion architecture and metadata-driven concepts. 

• Hands-on experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, OneLake, Data Activator, Power BI integration) 

• Hands-on with Databricks (Spark, Delta Lake, DLT pipelines, Unity Catalog) 

• Proficiency in ETL/ELT development and orchestration within Azure ecosystem 

• Strong skills in Data Analytics using SQL, Python or PySpark 

• Knowledge of Cloud-native data platforms including Azure Data Lake, Azure Synapse, Azure Data Factory, Azure Storage, etc. 

• Understanding of data governance, security, and CI/CD best practices for cloud data platforms 

• Strong problem-solving and analytical skills 

• Ability to work independently and remotely in a fast-paced environment 

• Bachelor’s degree in computer science, Information Technology, or related field