Total 1,344 data entry job vacancies

Our client is a Japan MNC MNC. Due to business needs, they are now recruiting a Retail Assistant to be part of their Team for ongoing transformation projects. They are located in the East (Aljunied)

Location: Aljunied

Salary: $1,900 -$2,200 + AWS + VB + OT Pay

Working Hours: 5.5 days, Mon-Fri 8am - 5pm, Sat 8am - 12pm

Job Description:

• Assist walk-in customers with product information and basic sales support
• Prepare paint colours based on orders and customer requirements
• Arrange and restock products in the store
• Keep the shop clean and follow safety rules
• Support stock count and daily store operations

Requirements:

• No experience required (training provided)

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

EA License No: 19C9682
EA Personnel No: R25157233
EA Personnel Name: Loh Pooi Keng

⭐️Grow into a Brand Marketer Through Hands-On Experience!⭐️

We are seeking a motivated and enthusiastic Event and Marketing Associate to join our team in Singapore. This is an entry-level position suitable for individuals who are keen to develop a career in marketing and gain hands-on experience in campaign execution and customer engagement.

Training and mentorship will be provided to support your professional development.

1️⃣ Key Responsibilities

• Support the planning and execution of marketing campaigns
• Engage with customers to promote brand awareness and campaign objectives
• Work closely with team members to ensure smooth campaign operations
• Contribute ideas during team discussions and campaign brainstorming sessions
• Monitor and provide feedback on campaign performance and customer responses
• Develop communication and interpersonal skills through on-the-job experience

2️⃣ Qualifications and Skills

• No prior experience required; training will be provided
• Good communication and interpersonal skills
• Positive attitude with a proactive mindset and willingness to learn
• Able to work both independently and in a team

3️⃣ What We Offer

• Structured training and onboarding programme
• Mentorship and guidance from experienced team members
• Opportunities for skills development and career progression
• Exposure to different marketing campaigns and projects

4️⃣ Additional Information

• Position Type: Full-Time
• Location: Singapore

Only shortlisted candidates will be notified.

Job Description

• Industry/ Organization Type: Information Technology Consulting
• Position Title: Product Manager (Esp Data & AI Platform)
• Working Location: Pasir Panjang
• Working Hours: 5 days, Mon – Fri (8:30 AM – 6:00 PM, Fri 8:30 AM - 5:30 PM)
• Salary Package: Basic Salary + Completion Bonus
• Duration: 1 year contract (renewable)

Key Responsibilities

• Define and communicate the product vision and strategy for the enterprise data hub, aligned with user needs and business goals.
• Manage the data hub as a product platform, balancing the needs of data producers, users, analytics, and AI use cases.
• Conduct user research, interviews, and testing, and analyse data and feedback to identify problems and guide product decisions.
• Translate product strategy into clear requirements, user stories, and acceptance criteria.
• Identify and manage risks across the product lifecycle, including data, security, AI, and operations.
• Prioritise and maintain the product backlog to deliver high-impact data and AI features.
• Collaborate with engineering, design, project teams, data owners, and policy teams, and communicate updates to stakeholders.
• Plan and support product launches, monitor performance, and improve based on results.
• Define success metrics, data requirements, and reporting methods to track outcomes.
• Work with data owners to ensure data quality, governance, access control, and proper usage.
• Identify and assess AI opportunities, evaluate feasibility and risks, and translate them into clear use cases.
• Ensure AI features are practical for daily use, including monitoring performance and supporting adoption through training and communication.
• Any ad hoc duties assigned

APPLY NOW!!!

• Minimum 7 years of experience in product management.
• Strong analytical skills and ability to use data for decision-making.
• Experience working with cross-functional teams and aligning stakeholders.
• Experience managing product lifecycle and go-to-market activities.
• Good technical understanding to work with engineering teams on requirements and constraints.
• Strong communication and stakeholder management skills.
• Experience with data platforms (e.g. data lakes, warehouses, APIs, pipelines).
• Experience with data or AI-related products, including understanding risks and implementation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83248 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

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Statistics-and-Data-Science%29/33447-en_GB/?st=DDCF370D747A170FC6C5B7C7D0F8F5BB9E65FE37

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc. Prof. Alexandre THIERY on representation learning and high-dimensional time series under a project on "Particle methods for data-assimilation".

The main responsibilities of the position include:
•    Methodology development
•    Implementation of the methods
•    Publication in journals and conferences
•    Presentation of work at conferences

Qualifications / Discipline:
•    PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:
•    Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
•    Strong background in statistical modeling and machine learning
•    Proven ability to develop and implement complex algorithms
•    Excellent written and verbal communication skills
•    Capable of conducting independent research and working collaboratively

Experience:
•    Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
•    Demonstrated experience in developing novel methodologies in representation learning
•    Strong record of presenting at international conferences and workshops

Job Responsibilities

1) Data Platform & Enterprise Architecture Leadership

• Define and execute the APAC data platform architecture strategy, aligned with global priorities and regulatory/local market requirements.
• Architect scalable, secure, future-ready data platforms that support business change and modernization outcomes.
• Integrate and modernize legacy systems and disparate data sources into unified, trusted data ecosystems enabling analytics, AI/ML, and GenAI.
• Drive adoption of open systems and standard architectures to improve agility, interoperability, and resilience.

2) Delivery Management & Execution (Architecture-through-Delivery)

• Be accountable for successful delivery of a regional data platform, including day-to-day coordination and delivery oversight.
• Partner with sponsors/stakeholders to define goals, deliverables, and acceptance criteria.
• Support requirements/backlog prioritization, user stories, and alignment ceremonies (stand-ups, showcases/POCs, SteerCo, working groups).
• Create and deliver against detailed project plans; track dependencies, manage delivery risks, and ensure timely execution.
• Manage budgets/forecasts and oversee external vendors/data providers.

3) Governance & Stakeholder Engagement

• Establish and embed architecture principles, standards, and governance, ensuring enterprise-wide alignment.
• Chair/lead architecture forums as needed and provide strategic oversight for significant technology programs.
• Build strong relationships across regional/country technology leadership, product, delivery teams, external vendors, and Head Office (Japan).
• Drive architecture advocacy via workshops and knowledge sharing across business and technology communities.

4) Engineering Excellence (Quality, Simplicity, Performance)

• Apply strong software engineering practices: code profiling/optimization, debugging complex issues, and choosing appropriate languages/paradigms.
• Drive pragmatic design: SOLID/cohesion, idempotence, domain modelling, performance-by-design; familiarity with CQRS and eventual consistency.
• Promote modern delivery practices: automation by default, CI/CD, automated security scanning and performance testing.

5) Reliability, Observability, Security & Compliance

• Design for reliability, performance, and availability and ensure platforms meet both user needs and business goals.
• Facilitate adoption of platforms with embedded observability, risk, and compliance controls.
• Ensure secure-by-default engineering, including server hardening fundamentals and use of SSL/encryption principles.

6) People & Talent Leadership

• Provide technical leadership, mentorship, and guidance to engineering/delivery teams and the architecture community.
• Lead design discussions, gain buy-in, and develop others through coaching and knowledge sharing.

Job Requirements

• Experience: Minimum 10 years delivering in strong engineering teams, with proven delivery ownership for data/technology initiatives.
• Strong background in enterprise/data/solution architecture and modernization programs (cloud adoption and large-scale integrated solutions exposure preferred).
• Strong stakeholder management and influencing skills across engineering, product, and senior business leaders; ability to collaborate across APAC and with Japan/global teams.
• Solid foundation across:
• Software engineering and design practices (performance, SOLID, idempotence, domain modelling).
• DevOps/automation and CI/CD with security/performance testing automation.
• Infrastructure basics (OS, scripting, networking) and data storage paradigms; ability to automate PaaS usage.
• Security principles (secure coding, hardening, encryption/SSL).

Our client is a leading global technology company with a strong presence in digital platforms, innovation, and large-scale software systems. They are currently seeking a highly analytical and business-focused Data Analyst to drive data-driven decision-making, operational excellence, and strategic insights across a large-scale customer support and business operations environment.

This is a 12-months contract role.

Responsibilities

• Analyze large and complex datasets using SQL, Python/R, Tableau, Hive, Presto, and other big data technologies.
• Develop and execute data science and analytics initiatives that support business strategy and operational performance.
• Design, build, and maintain advanced analytical models, dashboards, and reporting frameworks to generate actionable insights.
• Partner with cross-functional stakeholders to identify opportunities, solve business challenges, and drive continuous improvement.
• Present data-driven recommendations and insights to both technical and non-technical audiences, including senior leadership.
• Establish scalable reporting systems, performance metrics, and KPIs to support operational efficiency and decision-making.
• Mentor analysts and contribute to best practices in analytics, reporting, and data science.

Requirements

• 2 years of experience in data analytics, data science, business intelligence, or operational support within a technical environment.
• Advanced SQL skills, including developing, optimizing, and maintaining complex queries.
• Hands-on experience with data visualization and big data tools such as Tableau, Hive, Presto, Python, or R.
• Strong understanding of operational metrics, KPI development, reporting architecture, and data pipelines.
• Proven ability to translate complex data into clear business insights and strategic recommendations.
• Excellent communication and stakeholder management skills, with the ability to influence decision-making at multiple levels.
• Experience working with large-scale datasets and delivering measurable business outcomes through analytics.
• Exposure to customer operations, support organizations, or scaled service environments is advantageous.

Job Description

• Industry/ Organization Type: Cleaning/ Maintenance Services
• Position Title: Data Centre Cleaning & Maintenance Technician
• Working Location: Islandwide
• Working Hours: 6 days (Mon-Sat, 9am – 6pm)
• Salary Package: Basic + OT + Performance Bonus + Extra 2 days Leave/ month
• Duration: Permanent

Key Responsibilities

• Carry out cleaning tasks at assigned sites (e.g. vacuuming, mopping, disinfecting, etc.)
• Support installation works as instructed.
• Inform supervisors when supplies are low, equipment is damaged, or facility issues need repair.
• Assist with deliveries.
• Perform general housekeeping in the warehouse and storage areas.
• Follow safety and cleanliness requirements.
• Use cleaning and maintenance equipment safely and properly.
• Perform any other duties assigned by the Manager or Management.

APPLY NOW!!!

• Comfortable using cleaning tools and equipment.
• Willing to learn and adapt to different tasks and responsibilities.
• Basic English skills (able to read instructions and communicate).
• Willing to work overtime when needed, including after hours and weekends.
• Able to work well in a team and independently with minimal supervision.
• Good communication skills; responsible and reliable.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #82315 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

About Our Client

Our client is a regional data centre solutions provider that merges engineering excellence with sustainability to deliver world-class facilities across Asia.

Their integrated approach covers concept design to operation, with a focus on energy efficiency, scalability, and high-density computing readiness.

How to Apply

• MNC Company
• $2,000 - $2,600 + AWS + Variable Bonus 
• Excellent Welfare and Benefits + Career progression
• Working location: Jurong Island (Transport Provided)
• Working days: 5 days 
• Working hours: 8.00am - 4.30pm
• 80% admin & 20% chemical lab testing

Job Responsibilities:

• Maintain laboratory documents, records, and data files.

• Keep the laboratory clean, organized, and compliant with 5S standards.

• Perform basic laboratory tests and accurately record results.

• Assist laboratory technicians with routine tasks and daily operations.

• Other ad-hoc duties as assigned

Job Requirements:

• Experience in simple lab chemical testing.

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background

We regret that only shortlisted candidates will be contacted.

NG JYA YEE (R23119014)
EA Recruitment Pte Ltd
EA License No: 21C0492