Bloomberg runs on data. Our products are fuelled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

Our Team

As the Loans Data team, we are responsible for the aggregation, enhancement, transformation and management of all loans data on the Bloomberg terminal. When firms look to raise money in the capital markets, we connect them to lenders & investors providing monitoring, pricing and risk management information. We capture, model and store all information related to the loan, including reference, pricing and covenant information, as well as any events that happen over the lifecycle of an instrument such as refinancing, repricing, reinstatement & amendments and bankruptcies. Our Data Analysts possess a unique combination of subject-matter-expertise in Fixed Income, good communication skills and ability to build relationships with various partners, as well as interest in technology or data management related tools.

What’s the role?

We are looking for a highly motivated individual with a passion for finance, data, and technology to enhance value from our data products. As a Senior Data Analyst on the Loans Data team, you will play a key role in expanding Bloomberg's loans databases to further deliver an industry-leading data product offering. We will trust you to use your relationship management skills to procure and maintain existing content provider relationships and generate market insights to promote Bloomberg’s brand and loan data, and problem-solving skills to manage the workflow of extracting, transforming and loading of timely, accurate and comprehensive data.

You will be involved in improving the data quality of our loans database to ensure that it meets our customer’s needs and ensure data is fit for purpose. You will collaborate closely with global team members, domain experts, market players and business partners, managing priorities of different initiatives and using industry knowledge to help drive decisions and generate new dataset offerings. You will work to identify innovative workflow efficiencies and implement technical solutions to enhance our systems, products and processes. You will bring a unique combination of subject-matter-expertise in Fixed Income, good interpersonal skills, and a passion for problem solving to address our clients’ needs.

We'll Trust You To:

• Understand our customers’ needs and markets to ensure data is fit for purpose, ready for use, and meets service level agreements (SLAs)
• Collaborate with a wide variety of partners from Engineering to Sales on product development and implementation
• Improve our data quality through implementation of quality control strategies including development of quality control rules
• Combine domain expertise and technical skills to generate insights
• Balance the best of technical and product knowledge to implement solutions for customers
• Promote, market and brand Bloomberg loans datasets and products to both internal and external partners
• Proactively support customers by helping them interpret data and predicting their follow-up questions/needs
• Apply problem-solving and data analysis skills to identify innovative workflow efficiencies and implement technology solutions to enhance our ETL processes/overall product strategy

You’ll Need to Have:

• Bachelor’s degree in Finance, Accounting, Statistics, Business, STEM, or related field/equivalent experience
• Excellent written and verbal communication skills in English
• Demonstrated continuous career growth within an organization
• 4+ years of relevant work experience in the financial services industry, including exchanges, market data providers or financial institutions
• Experience in data management, for example improving data quality, accuracy, efficiency or timeliness
• A proven track record of successful project management skills and prioritizing tasks accordingly
• Experience taking a logical approach and apply critical thinking skills in order to solve problems
• Experience working autonomously, handling priorities from multiple internal and external partners

We’d Love to See:

• Previous work experience with the Bloomberg Terminal or Bloomberg Market Concepts certification
• Knowledge of statistical analysis and demonstrated applied data analysis skills, with proficiency using Excel as well as experience with SQL or Python
• Experience using data visualization tools such as Tableau, QlikSense or Splunk
• Experience transforming workflows into more timely and efficient processes

If this sounds like you:

Apply if you think we're a good match. We’ll get in touch to let you know what the next steps are.

Bloomberg is committed to improving the communities, cities and countries in which we work, and we support various initiatives including hiring and developing local talent. So, we may prioritise candidate with legal authorisation to work full-time in Singapore for this role, who do not require Bloomberg to sponsor their work authorisation.

5days ,permanent, Aljunied

Product

Heating , ventilation, air conditioning (Hvac)solution for data center

Our client

MNC in air conditioning and humidification system solution serving high tech industry

Years in business : > 70 years worldwide

Area of business: Global

Job scope

· To design and draw HVAC solutions, to perform heat load calculations for clients.

· To visit site and attend to meetings with clients

· Submission of project specifications and certifications for client's approval.

· Sourcing of competitively priced equipment for the project

· To see through successful completion of project from inception to commissioning.

Requirements

· Min Diploma in Electrical/Mechanical/Electronic

· 2Years experience in HVAC design, installation ,commissioning works.

· 2 years experience in data center hvac project management

· Proficient in Auto-cad interpretation of job site drawings.

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

We are seeking an experienced Data Engineering Lead to oversee the data engineering team in NUS.

The role will be responsible for leading and guiding teams in the development of high-quality data lakehouse, ensuring they meet business needs and align with NUS strategic goals. The role will also ensure the proper implementation across all stages of the data lifecycle

This role will manage a team of 6 data engineers handling ELT/ETL framework and end-to-end data pipelines from various source systems to data lakehouse with a plan for future growth.

This is a hands-on leadership role and the candidate should have been on active hands-on development at least 5 years prior.

Duties and Responsibilities

Technical Expertise
• Participate in the technical design of data platforms and their technologies, including their framework, architecture, standards, and guidelines.
• Provide technical guidance and expertise to the team, helping to solve complex technical challenges.
• Stay updated about emerging technologies and industry trends to drive innovation within our organization.
• Ensure adherence to best practices in design, development, testing, and maintenance.
Leadership and Team Management
• Lead and mentor the team, fostering a culture of innovation, collaboration, and excellence.
• Provide direction and guidance to the team in managing the full data lifecycle.
• Perform Scrum Master role for the team.
• Develop and implement strategies to enhance team’s performance and productivity.
• Foster collaboration and high-performance culture within the team.
Delivery Management
• Ensure timely and high-quality delivery, aligning with project objectives, scope, and timelines.
• Oversee the design and implementation of data lakehouse to meet the university’s needs.
Quality Assurance
• Implement quality control and testing procedures to guarantee the high-quality delivery.
• Ensure data lakehouse aligns with the university's regulatory and compliance requirements.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 7 years of experience in technical leadership roles, with a strong emphasis on data lakehouse and data engineering solutions.
• Proven ability to lead data engineering teams, promoting collaboration and achieving project objectives.
• Strong problem-solving and critical-thinking skills, with a proven track record of effectively addressing technical challenges and risk mitigation.
• Strong knowledge of quality assurance processes, encompassing testing methodologies, and quality control procedures.
• Relevant experience in designing, developing, and supporting data lakehouse and data engineering solutions.
• Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors.
• Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

Technical Expertise
• Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Informatica.
• Strong working experience in Azure Data services, preferably Azure Fabric.
• Strong database working experience for transactional and analytics systems, including querying and tuning large, complex data sets and performance analysis.
• Working experience in big data and DataSecOps is an added advantage.

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business

Our Training & Simulation Systems delivers learning, training, and simulation solutions and systems that elevate training experiences; offer immersive technologies that transform learning and training; along with training support and consultancy services for aerospace, land, maritime, public safety and security, and commercial segments. We provide comprehensive end-to-end solutions, from design and development to seamless implementation, maintenance, and ongoing operations.

Together, We Can Make A Significant Impact

You will be part of the data engineering team. Your role includes designing and developing high quality data products - data warehouse, data marts, data lake and data hubs; either on cloud or on-premises system environments.

Be Part of Our Success

• Build and support data pipelines and all associated Software Engineering infrastructure tasks.
• Liaise with clients, technical architects, data architects, data scientists and BI analysts to gather requirements.
• Analyse data requirements, prepare functional and non-functional specifications for the data products.
• Develop the data pipeline using either ETL or ELT approach to load or synchronise data in near real time or batch mode.
• Analyse and interpret data into business insights.
• Design and develop the dashboards and visualizations using the BI tools.
• Ability to understand and convert the business logics into SQL queries and validate it against the data.
• Prepare Test Plans and conduct Unit Test, System Integration Test, User Acceptance Test and Performance Test.
• Implement deployment approaches and methods to roll-out the system changes.
• Stay up-to-date with industry standards and technological advancements that will improve the quality of the data products.

Qualities We Value

• At least 3 years of end-to-end data warehouse, data lake and big data implementation experience with similar industry will be a plus point.
• Proficient with at least one or more of the following technologies: Informatica , SSIS, SQL Skills, SQL Server , Azure Data Factory, Data Warehouse, ETL Framework.
• Preferably possess a good knowledge about: Power BI, Qlik Sense, MicroStrategy, SAS and Tableau.
• Preferably possess a good knowledge about: AWS/Azure services, Hadoop Ecosystem, Data APIs, Unstructured Data and Data Modelling.
• Able to work under pressure when there is an escalated demand in the project cycle.
• Understand the solution requirements and progress to develop, build and operationalise the solutions.
• Enjoy problem solving in different domains and industries.
• Love working with a highly energetic and competent team.
• A self-starter with an analytical approach to problem solving.
• A client-centric, outcome driven and quality focused team player.
• Excellent communication; both in written and spoken English.

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

Responsibilities

• Conduct thorough data analysis and implement data-driven solutions to support customer issue troubleshooting, utilizing statistical modelling and machine learning techniques to identify root causes and provide actionable insights for resolution
• Partner with field engineering teams to analyse data from plasma etching systems and provide timely, meaningful and accurate analysis results to support data-driven improvement
• Communicate effectively with both customers and internal teams, present complex data analysis findings or results to stakeholders in a concise, effective and understandable manner
• Develop advance statistical and machine learning algorithms to extract insights from large and complex data sets, and work with internal engineering team to evaluate the effectiveness of the algorithms
• Collaborate with global data engineering teams to share best practices and work on cross- functional projects that require data science expertise
• Manage and maintain the internal analytics solutions, supporting continuous development and implementation, and ensuring that data integrity and accuracy are always maintained
• Develop and conduct training sessions for local engineers on data analytics skills such as JMP/KNIME & Other duties as assigned

Requirements

• Degree/Master in Microelectronics, Data Science or a related field with Minimum 3 years' experience in semiconductor manufacturing equipment, semiconductor fabrication factory, semiconductor parts/peripherals or related industry
• Proven working experience as a Data Scientist in the semiconductor industry with a focus on plasma dry Etch process
• Ability to develop and implement algorithms for process optimization and problem solving
• Strong knowledge of data analytics methodologies, statistical analysis, machine learning techniques, and predictive modelling
• Proficiency in using various data science tool sets and programming skills (e.g., Python, JSL, R etc.) for data manipulation, visualization, and analysis

Additional info

• Company industry: Electronic & SemiCon Manufacturing
• Location: Paya Lebar

GMP Recruitment Services (S) Pte Ltd | EA Licence: 09C3051 | VO UYEN AI LINH | Registration No: R22109232

• Min 8 years of experience.
• At least 8 years of data-related working experience, with at least 5 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

At Sirius Star Marketing, we create personal, face-to-face sales experience for customers, adding in the touch of warmth unlike what you may receive from above the line marketing. This in turn helps Brands to reach out to untouched potential market and increase their market share and brand awareness.

Being at the apex of this industry is our drive as we believe in the quality of our people. We provide strategic solutions to clients for them to flourish and prosper in their industry, while at the same time build on our peoples’ portfolio in diverse industrial knowledge.

What you will do:

• Represent clients’ products and provide the most suitable package to customers based on their needs
• Build customer relationships and organize daily work schedule to call on existing or potential sales outlets
• Providing after-sales support to customers and comply with administrative requirements on account management
• Monitor brand evolution and competitors’ pricing, keep up with industry trends
• Achieve sales target and identify strategic partnership collaboration with brands
• Attend product trainings and upskilling topics
• Provide solutions and ideas to assist company’s growth and expansion

Requirements:

• Strong interpersonal and communication abilities
• Motivated and self-discipline
• Adaptable in a fast-paced, dynamic environment
• Able to work well with detailed information
• Willingness to learn all aspects of business operations work

We pride ourself in nurturing our people; the knowledge and skills they acquire today will drive productivity and value in the long run.

Benefits:

• Basic up to $3000 (Salary will commensurate with experience & qualifications)
• 5 Days / 5.5 Days
• Multiple Location
• No Experience are welcome to apply!

Job Scope:

• Handle office documentations
• Handle of PO/DO/Invoices etc.
• Correspondence handling and email management
• File organization and data maintenance
• Phone call management and message handling
• Coordination of meetings and events
• General office tasks and support for the team or executive

Job Requirement:

• Admin / Customer service / sales support / SAP experience will have added advantage.
• Excellent Communication Skills
• Entry Level, No Experience are welcome 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)

Company’s Profile
Founded in 2008, Global TechSolutions (GTSS) is a trusted name in semiconductor equipment manufacturing, with over a decade of experience serving front-end semiconductor wafer manufacturers. Our team, backed by strong OEM expertise, excels in repairs, refurbishment, installations, and field service support.

Benefits:

• Guaranteed AWS

• Performance bonus

• Increment after probation (subject to performance)

• 1 year cash completion bonus

Salary Package:
- Basic Salary: $2200
- Shift Allowance

- Fixed monthly attendance allowance

- OT pay eligible

Working Location: Kranji

Working Hours: 12 hours shift work, (4 days work, 3 days off | 3 days work 4 days off)

Key Responsibilities:

• Perform robot PM: parts cleaning & greasing, replacement of sensors, motors, motor drivers etc.

• Installation of vacuum valves, fore line pipes, heater jackets.

• Support tool owner engineer to do technical activities in fab: trouble shoot, modification, installation, de-installation.

• Support 6S & logistic activities (parts cleaning, arrangement, label-ling, housekeeping.

Requirements:

• Min. NITEC in any Engineering field or equivalent certification

• Willing to do hands-on work and comfortable to be in clean room suit

• Able to work on weekends

*Able to start work within short notice will be highly advantageous.*

**Please be notified that only shortlisted candidates will be notified**

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

EA Personnel Name: TOH SHIQI

EA Personnel No: R23119083

EA License No: 21C0845

JOB TASKS AND SPECIFICATIONS

1. Execute strategies and customer engagement opportunities for key accounts in the specific industry sectors across Asia Pacific.
2. Assist in facilitating smooth implementation of contractual agreements.
3. Collaborate with different stakeholders to put together a plan of action for the clients and current supply chain business operations.
4. Monitor progress update of projects, initiate and implement process improvements to ensure project success.
5. Conduct research and market intelligence work to facilitate formulation of business development plans and strategies.
6. Assist in the preparation of proposals, quotations, presentations and solutions in timely manner and with utmost professionalism.
7. Tracking of KPI performance
8. Provide process improvement and optimization support relating to Logistics Data Management
9. Assist in Data and Statistical Analysis.
10. Perform other job related functions as assigned.

REQUIREMENTS

• Candidate must possess at least Diploma and above in any field
• Competent in English and Mandarin language (spoken and written)
• Good exposure in business presentation. Savvy with presentation software
• Proficient in MS. Office, Excel, PowerPoint and computer knowledge
• Excellent interpersonal and communication skills.
• Fresh graduates welcome to apply
• Meticulous and have a can-do attitude

Only with 3PL experience may apply.

Salary shall commensurate with relevant experience.

We regret that only shortlisted candidates will be notified.

Role Summary: The Data & AI Project Manager is responsible for leading data analytics and AI initiatives across both internal and external teams, ensuring that all projects align with the agency’s strategic goals and deliver valuable insights. This role manages the lifecycle of data and AI projects, from planning and development through to implementation and optimization, working with both vendors and internal data specialists.

Key Responsibilities:

• Vendor and Internal Team Coordination:
  • Manage relationships with external data and AI vendors while also leading internal data teams (local or overseas) to align on project priorities, timelines, and deliverables.
  • Facilitate collaboration between internal and vendor teams, ensuring clear roles and responsibilities and efficient information flow.
  • Regularly review and manage the distribution of work between internal teams and vendors to optimize resources.
• Data Strategy and AI Project Management:
  • Develop and drive a comprehensive data and AI strategy, identifying projects that provide the highest business value.
  • Define project KPIs, set clear success criteria, and establish metrics to measure the effectiveness of both in-house and outsourced data/AI initiatives.
  • Ensure alignment of all data initiatives with business needs, prioritizing projects based on their impact on business performance.
• Requirements Documentation and Solution Design:
  • Work closely with stakeholders to capture data requirements and document them into actionable project plans for internal teams and vendors.
  • Provide guidance on technical requirements, data integrity, and quality standards for AI models and analytics projects.
• Quality Assurance and Validation:
  • Oversee quality assurance for data and AI outputs, ensuring deliverables are accurate, reliable, and aligned with strategic objectives.
  • Lead UAT and feedback loops with stakeholders, coordinating with both vendors and internal teams for adjustments and refinements as needed.
  • Implement validation processes to confirm the accuracy of insights, allowing business teams to confidently apply findings.
• Reporting and Continuous Improvement:
  • Track and report on project outcomes, including impact assessments, user adoption metrics, and ROI for each AI and data project.
  • Encourage knowledge sharing between internal and vendor teams, implementing a continuous improvement process for data practices and AI model accuracy.

• Required skills include 3+ years of experience in the implementation, maintenance and analysis of data center facilities, hardware, communications infrastructure, strategies, tools and effective troubleshooting techniques.
• Basic background on enterprise data center facilities and infrastructure environments such as PDUs, RPPs, network and SAN infrastructures. In depth knowledge on complex, Enterprise class inter-networked environments involving a combination of switched/routed/shared Ethernet, TwinAx (100GigE, 25GigE,10GigE, GigE, 100M, and 10M), token ring, SAN, and wide area connectivity.
• Strong knowledge of WAN technologies (OC-x, DS-x), subnetting and TCP/IP protocol a must.
• Excellent communication and writing skills a must.
• Knowledge of trouble ticketing systems, change control, Project processes and associated tools.
• Logical problem- solving techniques and associated experience in system, data center facilities, and telecommunications.
• Experience with project management.
• Financial Services industry knowledge a plus.

KEY RESPONSIBILITIES

• Installing/de-installing/relocating all distributed systems and network hardware (CSUs, DSUs, routers, switches, encryptors, firewalls, etc.) in the Americas Data Centers within the internal service level mandates
• Installing/de-installing /extending/relocating/testing all carrier circuits to the network hardware
• Installing/de-installing/relocating all patch cabling for systems and network hardware
• Installing/de-installing/relocating all Data Center hardware
• Assist with the coordination of cabinet power, circuit, and patch infrastructure installations w/various facilities, electrical and communications vendors
• Assist with the coordination of network component configurations
• Coordinate and Install SAN cabling infrastructure
• Managing network ports and assist with the management of all consumable items (cables, labels, tie wraps, rail kits, etc.)

Job Scope

• To help filter the customers in the queue at the entrance of shop to ensure they have our app uploaded in their smartphone
• If they do not have our App+ yet, guide customer to create their ID and subsequently guide customer to download the App+
• Guide customer on how to manoeuvre the App+
• Guide customer on how to manoeuvre the microsite
• Remind them that the job is customer fronting and a lot of standing is expected

Requirements:

• Minimally GCE 'O' level
• Able to start on short notice
• No experience required, training will be provided

Working Hours:

11am - 8pm or 12pm - 9pm, any 5 days in the week, including 2 weekends and PH

All Interested candidates are invited to email your resume in MS Word format To: [email protected]

Ivy Yong Shi Mei
C.E.I Registration No.: R2198995
EA License No. 99C4599

Duration: 6 months

Salary: $10/ hr

Location: East/ Central Locations

• Must be ok with standing long hours, Blood, Wounds and Saliva

Working Hours:

• 44 hours per work week

• Monday to Sunday: 9am – 6pm or 2pm – 9pm (Rotating shift hours)

• 5.5days/week

• 1.5 Off day on a Weekday/ Weekend (Roster by Dr.)

Job Scope:

• 50% hands on position (assisting beside the dentist), 50% reception duties

• Assisting in dental procedures

• Washing and sterilizing of equipment

• Reception duties

Job Requirements:

- Min. A level and above

- No experience as training will be provided

For interested applicants, please send your updated resume to: [email protected]

All candidates’ information will be treated with the strictest confidence

Melissa Zhang Zhiqi (Mezzo)

R2197564

Recruit Express Pte Ltd

99C4599

Responsibilities:

• Identify and assess potential candidates

• Conduct interview and manage selection procedures

• Design job descriptions and interview questions

• Organize and attend recruitment events

• Lead discussions in quarterly and annual hiring needs by department

• Foster long-term relationships with past applicants and potential candidates

• Involve actively in Human Resource activities with regards to Hiring and Managing of potential candidates

Requirements:

• A levels

• Candidates with strong track record in sports or co-curricular activities will have an added advantage

• Candidate with great team spirit, persistency, good communication and interpersonal skills are welcome to apply

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

5 days | Mon - Fri | Central Area

Responsibilities & Duties

Account

• Maintaining accounting and related records (HongKong , Korea, UK,

Netherlands, Germany etc.)

• Completing the periodic and annual audit

• Ensure payments are checked, verified, authorised and approved

• Timely preparation and closing of accounts

• Support and advise project team on financial & accounting matters

• Review and implementation of accounting procedures and policies

Admin

• Manage general communication such as post, deliveries, couriers, etc.

• Manage supply of stationery and other office supplies

• Coordinate the travel arrangements for office on their travel arrangements

and logistics (bookings, visa applications, invitations letters)

Tee Xin Li Reg No: R24121619
The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Salary: $11/h

Duration: 4 months

Location: Islandwide

Working Hours: Flexible

Key Responsibilities:

• Supports regular/main teachers in the classroom (N2 - K2 classes)

For example:

- Administrative matters

- Document management

- Preparation of craft materials

- Borrowing/returning of library books and maintenance of the library

- Taking students to the toilet

- Ensuring that all the students are listening and following the lesson closely

- Helping with the sanitizing of materials and classrooms

• Maintains the safe-distancing guidelines in the classroom

• Candidate needs to be punctual, reliable and responsible

• Candidate needs to be pro-active and take initiative

• Candidate must be able to commit to the schedule

Requirements:

• Diploma / A Level

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]

Entry level candidates are welcome to apply

Job Responsibilities:

• Prepare and maintain financial records in compliance with regulations.
• Process invoices, payments, and expense reports promptly and accurately.
• Basic data entry.
• Handle scanning & bookkeeping.
• Any other ad-hoc matters assigned.

Job Requirements:

• Diploma / Degree in Accounting or equivalent
• Or at least 2 years relevant experience if without Diploma/Degree
• Proficient in Microsoft Office and must have used accounting software
• Meticulous, performance-oriented, and self-motivated with good interpersonal and communication skills
• Responsible, meticulous & committed to deadlines.
• Team player and ability to work independently.
• Welcome to the candidate with no experience.

Working Location: Raffles Place.

Working Hours: Mon - Fri 9AM - 6PM

Where Ambition Meets Opportunity!

Be part of a dynamic team driving face-to-face marketing success. We’re expanding globally and seeking ambitious individuals to grow with us!

Your Role:

• Engage with customers and generate leads through in-person interactions.
• Master marketing techniques via comprehensive training.
• Oversee impactful campaigns and events.

Why Join Us?

• Rapid career growth opportunities.
• Regional and international travel experiences.
• One-on-one mentorship from industry leaders.

Who We’re Looking For:
Passionate, results-driven individuals ready to learn and succeed—no experience needed!

Start your journey today. Apply now!

Our client is from Construction industry. Due to their current expansion plan, they are looking for a HR Executive - Recruitment to join their team, in hopes of developing the current high performing team. They are located in the Central.

Job Responsibilities

• Support recruitment activities, including posting job advertisements, candidates screening, and interview arrangement.
• Manage the onboarding and offboarding processes.
• Organize and oversee training and development programs.
• Handle payroll processing.
• Manage applications, renewals, and cancellations of work passes.
• Handle general matters, including updating residential addresses, managing levy waivers, medical check-ups for new hires, etc
• Conduct market surveys for MOM, IRAS, CPF, WDA, and other HR-related studies.
• All other adhoc duties as assigned.

Requirements

• Minimum NITEC in HR Manager/ Business Administration or equivalent.
• Min 2 years relevant experience.

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: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Thrive Organisation is looking for the most outstanding candidate to represent the clients we work partner with, providing fitting solutions to meet specific requirements and drive results.

We are looking for people who will “walk the talk”. There is no such thing as a mundane routine here! Be prepared for an unparalleled environment!

Why choose us?

1. Career Development

* We are determined to provide you with the necessary resources, mentorship, and growth opportunities to fuel your professional advancement

2. Travel Opportunities

* We encourage collaboration among our offices and teams worldwide. As a result, team members may have opportunities to work on projects that involve travel to other cities or countries, fostering a deeper understanding of diverse cultures and business practices

3. Personal Growth

* We offer a wide range of learning and development opportunities, including workshops, training sessions, and mentorship programs. We believe that growth happens when we push our boundaries

Who are we looking for?

* A growth mindset - the belief that abilities and intelligence can be developed through dedication and hard work

* Team members with the attitude that is more likely to share knowledge, seek guidance from others, and contribute to a supportive and knowledge-sharing culture within the organization

Job ID: 652350

Responsibilities:

• Handle full sets of accounts for clients and prepare monthly financial reporting.
• Ensure reporting timelines are met.
• Prepare/Review month-end payments
• Prepare/Review GST report and filing.
• Audit liaison and drafting of financial statements.
• Preparation of XBRL submission
• Compute monthly payroll and year-end remuneration returns
• Any other ad-hoc duties

Requirements:

• Must possess a Degree in Accountancy or equivalent.
• Entry level role - Graduate with no relevant working experience welcome to apply
• Willing to learn attitude

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities

Please kindly refer to the Privacy Policy of Good Job Creations for your reference:

https://goodjobcreations.com.sg/en/privacy-policy/
EA Personnel name: Chong Gui Feng
EA Personnel Registration Number: R1768033
EA License no.: 07C5771

Roles & Responsibilities:
- Be a team player but shine on your own!
- Stay self-motivated and focused on results.
- No experience? No problem! Just bring your willingness to learn.

Perks:
- Represent cool clients and boost their brand!
- Plan and launch creative campaign activities.
- Dive into team-building and collaborate with awesome people

Join us and let’s create something amazing together!