Working hours: 10am to 6pm (Monday to Friday)

Working location: Woods Square

Key Responsibilities:

• Provide comprehensive administrative support to management and team members, including managing schedules, correspondence, and documentation
• Serve as the primary point of contact for clients and customers, addressing inquiries, resolving issues, and ensuring a high level of satisfaction
• Maintain and update databases, ensuring accurate and organized records of client interactions, transactions, and project information
• Prepare regular reports and presentations for management, summarizing key metrics, performance indicators, and other relevant data
• Assist in the planning and execution of projects, ensuring timelines are met and resources are effectively allocated
• Facilitate clear communication between departments, clients, and stakeholders, ensuring all parties are informed of project statuses and changes
• Oversee office supplies and inventory, coordinating orders and ensuring a well-organized and efficient workspace
• Organize and schedule meetings, including preparing agendas, taking minutes, and following up on action items
• Identify areas for improvement in business processes and workflows, making recommendations to enhance efficiency and effectiveness
• Maintain confidentiality of sensitive information and ensure compliance with company policies and regulations in all business operations

Requirements:

• Minimum Diploma and above
• Strong organizational abilities and attention to detail, with a proven capacity to manage multiple tasks and prioritize effectively
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and familiarity with project management tools and CRM software
• Strong analytical and problem-solving abilities, with a proactive approach to identifying issues and implementing effective solutions

EA Reg. Number: R21100629

EA License Number: 22C1278

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600, after 3 months confirmation $2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Working hours: 10am to 6pm (Monday to Friday)

Working location: Woods Square

Key Responsibilities:

• Develop and execute a comprehensive social media strategy aligned with business goals to drive engagement and brand awareness
• Create, curate, and manage engaging content (text, images, videos) for social media channels
• Plan, execute, and monitor paid social media campaigns to meet targeted business outcomes such as lead generation and conversions
• Track key metrics using analytics tools to evaluate the success of social media campaigns and adjust strategies accordingly
• Actively engage with followers, respond to comments, messages, and inquiries, and foster a positive community around the brand
• Ensure all content and messaging are consistent with the brand’s tone, voice, and identity across all platforms
• Stay up to date with the latest social media trends, algorithm changes, and best practices to continuously enhance strategies
• Work with internal teams, such as marketing, design, and sales, to align social media activities with broader marketing efforts
• Identify and collaborate with influencers, bloggers, and key partners to increase brand visibility
• Manage social media budgets, ensuring that spending aligns with business objectives and delivers a high return on investment

Requirements:

• Minimum Diploma and above
• Ability to create engaging and creative content, with strong copywriting skills and basic graphic design proficiency
• Experience using social media analytics tools (e.g., Google Analytics, Hootsuite, or Sprout Social) to monitor performance and make data-driven decisions
• Knowledge of setting up and optimizing paid social media ads and campaigns across various platforms
• A strong awareness of current social media trends, best practices, and emerging platforms to keep strategies updated

EA Reg. Number: R21100629

EA License Number: 22C1278

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

Are you passionate about people and driven to create a thriving workplace culture? Join our dynamic team as an HR Executive and play a pivotal role in shaping an engaging and high-performing environment! Here’s what you’ll do:

• Manage the entire recruitment lifecycle—from sourcing and screening to interviewing and onboarding top talent
• Create and promote a compelling employer brand to attract Singapore’s brightest talent. Be the face of our organization at career fairs and networking events
• Leverage innovative sourcing strategies, including job portals, LinkedIn, social media, and talent pools, to identify top candidates
• Ensure every candidate has a seamless, positive experience, from the first touchpoint to onboarding
• Stay ahead of industry trends and competitors to design effective recruitment strategies that meet market demands
• Use metrics and analytics to refine recruitment strategies and deliver measurable hiring results
• Partner with department heads to understand hiring needs and design tailored talent acquisition strategies
• Build and maintain a robust talent pipeline for current and future hiring needs, ensuring we’re always ready to grow

Why Join Us?

• Be part of a fast-growing organization where talent acquisition is a top priority
• Competitive salary and comprehensive benefits tailored for top performers
• Opportunities for professional growth and development in HR
• Work in a collaborative, supportive, and innovative environment in Singapore

REQUIREMENTS

• Minimum Diploma and above
• Strong understanding of HR principles, practices, and procedures
• Strong organizational and time management skills, with the ability to prioritize tasks effectively
• Ability to maintain confidentiality and handle sensitive information with discretion

If you’re ready to make a meaningful impact and help shape the future of our organization, we’d love to hear from you. Apply now!

EA Reg. Number: R21100629

EA License Number: 22C1278

Working hours: 10am to 6pm (Monday to Friday)

Working location: Woods Square

Key Responsibilities:

• Manage the end-to-end recruitment process, from sourcing candidates to conducting interviews and extending job offers
• Maintain a talent pool and coordinate with hiring manager on hiring requirements
• Serve as a point of contact for employee concerns and grievances, promoting a positive work environment
• Coordinate employee training programs, professional development initiatives, and performance improvement plans
• Assist managers in setting goals and monitoring employee performance
• Manage employee records and maintain confidentiality regarding personnel data
• Prepare reports on key HR metrics such as employee turnover, recruitment effectiveness, and workforce demographics
• Assist in strategic HR projects, including organizational restructuring, succession planning, and workforce planning
• Organize and lead job fairs and recruitment events to boost the company’s brand and attract talent, from planning to execution
• Assist with various HR administrative tasks to ensure a seamless recruitment process

Requirements:

• Minimum Diploma and above
• Excellent communication and interpersonal skills for building relationships with candidates and hiring managers
• Ability to conduct effective interviews and evaluate candidates for various roles
• Proactive, self-driven, and able to work independently as well as in a team

EA Reg. Number: R21100629

EA License Number: 22C1278

Job Description

• Industry/ Organization Type: Furniture Manufacturer
• Position Title: General Admin Clerk
• Working Location: Kaki Bukit
• Working Hours: 5.5 days (Monday – Friday: 8.00am – 5.30pm, Saturday: 8am – 12.30pm)
• Salary Package: Basic Salary up to $3,000
• Duration: Permanent

Key Responsibilities

• Prepare essential documents, such as memos, reports, and other forms of communication.
• Manage and respond to emails and phone calls, forwarding communications to the right people when necessary.
• Regularly communicate with staff to help procure necessary items for the office.

APPLY NOW!!!

• 1-2 years of experience for entry-level positions.
• A Diploma or Degree in Office Administration is a plus.
• Familiar with productivity tools like Microsoft Office Suite.
• Knowledge of email platforms like Microsoft Outlook and Gmail.
• Ability to use or learn office equipment such as printers, fax machines, and phone systems.
• Strong communication skills.
• Able to work independently and ask for help when needed.

Please 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 #70403 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 | Adelin Chong | EA Reg No.: R1875641

Job Description

• Industry/ Organization Type: Wholesaler
• Position Title: Invoice Billing Clerk
• Working Location: Pasir Panjang
• Working Hours: 5.5 days (Mon - Sat, 830am - 530pm; Alternative Saturday)
• Salary Package: Basic salary up to $3,000 + OT + Variable Bonus
• Duration: Permanent Role

Key Responsibilities

• Prepare and send out invoices to clients accurately and promptly
• Collect and process orders from call-in customers, ensuring order details are accurately recorded and communicated
• Monitor outstanding balances and follow up on short credit term customer.
• Assist with reconciling billing discrepancies and resolving issues.
• Maintain accurate records of billing transactions and update customer accounts.
• Collaborate with the accounting team to ensure smooth billing processes.
• Handle customer inquiries related to billing and orders.

APPLY NOW!!!

• Completion of GCE 'O' Level or possess basic accounting knowledge.
• 2 years of experience in a similar role.
• Attention to detail and accuracy in handling financial data.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #71130 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 | Rachael Lee | EA Reg No.: R2093131

whatsapp: 85986715

职位：摩托车店员

薪水：，综合薪水4000+

工作时间8：30-17：30，五天半工作制，月休6天

要求：有店员经验

地点：AMK PK2

Position: Motorcycle shop clerk

Salary: , comprehensive salary 4000+

Working hours are 8:30-17:30, five and a half days of work, and 6 days off per month

Requirements: Experience as a sales clerk

Location: AMK PK2

Jie Shun Jia | EA License No.: 24C2410 | EA Registration No.: R24124440 (FENG YINGJIE)

Job Responsibilities:

Recruitment

1. Perform full talent acquisition cycle from advertising, screening, reaching out to candidates, set up interviews and onboarding

2. Conduct candidates searches

3. Reach out to job applicants and cold calling to potential candidates

4. Schedule examination and training for candidates

5. Recruitment and other ad-hoc duties when required

Appointment Officer

1. Calling prospective clients using a list of phone numbers provided to you

2. Setting up of appointments with the prospective clients

3. Familiarizing yourself with essential details of our products and services

Requirements

• Able to speak fluent English & Chinese
• Comfortable to do cold calling
• Data Collection

Job Description

A Telemarketer responsibilities includes making sales appointment and Scheduling and recuiting for the Associate Director.

Job: Secretary cum Accounts Clerk

Type: Permanent, Full Time

Position: Executive

Salary: SGD 4,500 – SGD 5,500

Minimum Years Of Experience: 3 Years

Job Responsibilities:

· Handling full spectrum of corporate secretarial duties including company incorporations, registration of foreign branches & representation offices, striking-off of companies, preparation of directors/ shareholders resolutions for on-going corporate secretarial matters and change of signatories etc.

· Ensuring compliance with relevant statutory and regulatory requirements by both the company and directors.

· Handle administrative duties.

· Attend corporate events/seminars.

· Perform daily accounting and finance duties, including receivables and payables processing, general ledger maintenance and bank reconciliation.

· Prepare and issue accurate invoices, customer statements and credit memos in a timely manner.

· Handle office expenses, staff claims and data entry into system.

· Handling HR matters including payroll processing, managing employee leave calendar, medical, claim matters and work pass applications.

· Assist on monthly or quarterly reporting, other statistical submissions and support audit / tax queries.

· Perform any other ad-hoc duties assigned from time to time.

Requirement:

· Degree in Business/ Admin/ Account/ Finance.

· Strong proficiency in accounting system and MS office.

· Minimum 2 years working experience in accounting.

· Excellent communication and interpersonal skill.

· Honest and positive attitude.

Xiaomi Corporation was founded in April 2010 and listed on the Main Board of the Hong Kong Stock Exchange on July 9, 2018. Xiaomi is a consumer electronics and smart manufacturing company with smartphones and smart hardware connected by an IoT platform at its core.

Embracing our vision of “Make friends with users and be the coolest company in the users’ hearts”, Xiaomi continuously pursues innovations, high-quality user experience and operational efficiency. The company relentlessly builds amazing products with honest prices to let everyone in the world enjoy a better life through innovative technology.

Xiaomi is one of the world's leading smartphone companies. The company’s market share in terms of smartphone shipments ranked no. 2 globally in the second quarter of 2021. The company has also established the world’s leading consumer AIoT (AI+IoT) platform, with 374.5 million smart devices connected to its platform (excluding smartphones and laptops) as of 31 March 31, 2021, excluding smartphones and laptops. Xiaomi products are present in more than 100 countries and regions around the world.

Job Description

Key Responsibilities:

1. Construction of data warehouses, development and maintenance of data services for Xiaomi's overseas Internet business.
2. Design a reasonable multidimensional data analysis system architecture for massive data processing and query needs, adaptable to changes in business, to meet a variety of requirements.
3. Clean and process massive logs, and abstract reusable data models for multiple businesses.

Job Requirements

1. Bachelor’s degree or above in a computer-related field.
2. Familiar with common relational and non-relational databases, distributed storage, and capable of selecting appropriate storage components based on requirements.
3. Knowledge of big data processing frameworks such as Spark and Flink, and preference for those who understand the concept of streaming processing.
4. Possess good problem analysis and solving skills, strong learning ability, and logical thinking.

BIPO Service (Singapore) Pte. Ltd.

EA License No. : 18S9180

As a Data Scientist in Group Engineering, you'll have the opportunity to drive business growth and innovation through data-driven insights and solutions. You'll work closely with senior stakeholders to identify and prioritize business problems, develop and deploy AI and machine learning models, and drive adoption across the organization. With OCBC's commitment to digital transformation, you'll be at the forefront of shaping the bank's data science capabilities and contributing to the development of a future-ready organization.

How you succeed

To succeed in this role, you'll need to combine technical expertise with business acumen and strategic thinking. You'll work closely with cross-functional teams to understand business needs, identify opportunities for data-driven innovation, and develop solutions that drive tangible business outcomes. You'll need to be able to communicate complex technical concepts to non-technical stakeholders, influence business decisions, and drive adoption of data science solutions across the organization.

What you do

• Develop and deploy AI and machine learning models to drive business growth and innovation
• Collaborate with senior stakeholders to identify and prioritize business problems and develop data-driven solutions
• Lead cross-functional teams to design and implement data science solutions that drive tangible business outcomes
• Develop and maintain large-scale data pipelines and architectures to support data science solutions
• Communicate complex technical concepts to non-technical stakeholders and influence business decisions
• Drive adoption of data science solutions across the organization and measure impact on business outcomes

Who you work with

Group Engineering is a strategic partner to teams across the bank, co-creating products and solutions that drive business growth and innovation. As a Data Scientist in Group Engineering, you'll work closely with senior stakeholders across the organization, including business leaders, product managers, and technology teams.

Who you are

• A seasoned data scientist with 8+ years of experience in developing and deploying AI and machine learning models
• A strong technical background in computer science, statistics, or a related field
• Experience leading cross-functional teams and influencing business decisions
• Excellent communication and stakeholder management skills
• Ability to work in a fast-paced environment and drive multiple projects simultaneously
• Strong business acumen and strategic thinking

DATA ENGINEER

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization systems.
• Perform data extraction, cleaning, transformation, and flow, including web scraping.
• Design, build, launch, and maintain efficient and reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and collate data silos in a scalable and compliant manner.
• Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, UX Designers, and Data Analyst to build scalable data-driven products.
• Develop backend APIs and work on databases to support applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Participate in pair programming and code review processes with fellow developers.

Experience and Skills Needed:

• Proficient in general data cleaning and transformation (e.g., SQL, pandas, R, etc.).
• Experienced in building ETL pipelines (e.g., SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, ECS Container task, Eventbridge, AWS Glue, Spring).
• Proficient in database design and various databases (e.g., SQL, PostgreSQL, AWS S3, Athena, MongoDB, Postgres/GIS, MySQL, SQLite, VoltDB, Cassandra, etc.).
• Experience with cloud technologies (e.g., AWS, Azure, Google Cloud Platform).
• Passionate about data engineering in a big data environment using cloud platforms.
• Experience with building production-grade data pipelines, ETL/ELT data integration.
• Knowledge in system design, data structures, and algorithms.
• Familiar with data modeling, data access, and data storage infrastructure (Data Mart, Data Lake, Data Virtualization, Data Warehouse).
• Understanding of REST APIs and web requests/protocols in general.
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka, RabbitMQ).
• Comfortable with W3C Document Object Model and customized web scraping (e.g., BeautifulSoup, CasperJS, PhantomJS, Selenium, Node.js, etc.).
• Comfortable in at least one scripting language (e.g., SQL, Python).
• Experience in both Windows and Linux development environments.
• Interest in being the bridge between engineering and analytics.

4o mini

Are you driven by the desire to see your hard work directly impact others? Join the DNDTS team, where we excel in crafting success stories through dynamic projects. Each endeavor is a unique opportunity to contribute to our proven track record of achievements.

Experience the satisfaction of seeing your efforts transform into positive changes in people's lives. In our thriving SME environment, you won't be limited to a single role. You'll have the chance to engage in cross-departmental collaboration, fostering a rich learning experience.

As our team consistently grows, so do opportunities for career advancement. We embrace the startup culture by having a casual working attire and a flat hierachy across deparments. Your journey with us goes beyond a job—it's a chance to make a lasting impact while expanding your skill set. Join DNDTS and become a key player in our success story.

About the Company

Our company specializes in electronic products. We believe in the power of data to guide and refine our business strategies, including marketing, new business development, and overall operations. We are looking for a data analyst to help us unlock the potential of data and optimize our business for continued growth and success.

Roles & Responsibilities

As a Data Analyst, you will be responsible for gathering, analyzing, and leveraging data to inform decision-making and enhance our supply chain, sales channels, and overall business processes. You will collaborate with various departments to identify trends, improve efficiency, and maximize profitability.

Key Responsibilities

• Collect and analyze market data using our proprietary tool to uncover insights into consumer preferences, competitor strategies, industry trends, and potential opportunities for growth.

• Utilize our data analytics and visualization tools to examine data, communicate findings about key business aspects such as sales, revenue, costs, and production.

• Perform process analysis to pinpoint inefficiencies or bottlenecks and implement business process improvements for maximum profit.

• Conduct cost-benefit analyses to determine the optimal allocation of resources, investments in equipment, staffing decisions, or procurement strategies.

Qualifications / Requirements

• Bachelor's degree in Computer Science, Business Analytics, or a related field.

• Proficiency in common data analysis programming languages, libraries, and tools (e.g., Python, R, SQL, Pandas, NumPy).

• Solid data analysis and visualization skills, with experience in tools such as Tableau, Power BI, or similar platforms.

• Excellent communication skills, with proficiency in English.

• Ability to work independently and collaboratively with cross-functional teams.

• Strong problem-solving skills and a results-oriented mindset.

Benefits

• Flexible working hours

• Yearly Bonus

• Medical Insurance Coverage

• Staff Discounts

• Corporate Discounts at participating F&B and Retail Outlets

• Fast Career Advancement Opportunities

• Multi-Industry Exposure

• Working Location: East - Airline House - Next to Singapore Airlines HQ

Please ensure you meet the minimum qualifications before applying. We regret to inform that only shortlisted candidates will be notified. If you are a data analyst with a passion for using data to optimize operations and drive growth within the electronics industry, apply now to join our innovative company and embark on a rewarding career journey.

Data Analysts collect data, such as sales numbers or market research, to help companies make the right decisions. Key role of this position is to generate actionable insights, trends, problem statements, and business value. This person may be required to work with key partners in business and technology teams to create meaningful visualizations and stories to describe data in forms usable by the business.

Responsibilities

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Set up and maintain tracker on key leading business indicators
• Use graphs, infographics and other methods to help visualize data and present recommendations and findings to stakeholders
• Create useful reports and dashboards to help team members and stakeholders track performance and achieve business goals
• Establish KPIs to measure the effectiveness of data driven business decisions
• Ensure data is clean and Verified for accuracy and consistency
• Supporting the data warehouse in identifying and revising reporting requirements
• Providing expertise in data storage structures, data mining, and data cleansing
• Create and apply statistical model if necessary to create and evolve insight

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Business or any other related discipline or commensurate work experience or demonstrated competence. Proven experience in data analysis, preferably in a similar role.
• Typically has 2-3 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
• Strong analytical, curious, business-oriented and written/oral communication skills
• Strong data visualization skills using tools such as Tableau, Power BI, or others.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills with ability to story tell through data
• Keen learner, open to feedback and self-improvement
• (Preferred) Familiarity with data governance principles and data privacy regulations
• (Preferred) Programming knowledge such as Python and R
• (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.