Total 564 data entry job vacancies in Singapore

Department Overview:

The Intl AI CoE plays a key role in defining and implementing the firm's AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture.

Role Description:

• Information delivery & analytics. Deep expertise in data science with cutting-edge generative AI technologies to develop, implement, and optimize AI systems that create meaningful business value. You will work at the intersection of research and application, turning complex data into intelligent generative solutions.
• Model Development & Research. Design and develop generative AI models for various applications (text, image, code, multimodal). Research and implement novel approaches in prompt engineering, RAG systems, and model alignment. Stay current with latest research in generative AI, LLMs, and related fields
• Applied AI Solutions. Translate business requirements into generative AI technical solutions. Build and optimize retrieval-augmented generation (RAG) systems. Develop custom evaluation metrics for domain-specific generative tasks
• Be a trusted partner. Shape the information & analytics agenda at Nomura, and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.
• Risk Mindset: Familiar with risk and controls frameworks and ability to operate with a control mindset

Skills, experience, qualifications, and knowledge required:

Core Skills requirement:

• Proven experience developing and fine-tuning models using LLMs, diffusion models, and transformer architectures. Proficiency with frameworks such as Hugging Face, LangChain, or LlamaIndex. Working knowledge of Python libraries including pandas, NumPy, and scikit-learn for data analysis and model development.
• Demonstrated understanding of generative AI techniques, including attention mechanisms, tokenization, and embeddings. Hands-on experience applying prompt engineering, few-shot, and in-context learning for AI applications. Experience with model evaluation for generative performance, and working knowledge of responsible AI, bias mitigation, and safety frameworks. Familiarity with vector databases and semantic search systems.
• Proficiency in programming languages such as Python, SQL, and Unix shell scripting for AI and data engineering workflows.
• Experience designing, building, and deploying scalable and resilient microservices, including the development of efficient and secure server-side APIs.
• Proven experience implementing CI/CD pipelines (e.g., Jenkins, GitLab) and applying DevOps methodologies to automate deployment and integration processes.
• Experience with cloud technologies such as AWS EC2, EMR or similar tools with ability to drive design and data model discussions, hybrid data architecture.
• Experience collaborating with cross-functional and geographically dispersed teams across multiple regions to deliver AI/technology solutions.
• Proven ability to manage concurrent AI projects and meet delivery timelines in dynamic and fast-changing environments.
• Experience managing stakeholder expectations of senior management.
• Proficiency in written and verbal communication skills, with the ability to document AI processes and present technical content clearly to both technical and non-technical audiences.
• Demonstrated analytical and problem-solving skills with experience deriving data-driven insights and actionable recommendations.
• Experience evaluating business or technical requirements, identifying improvement opportunities, and proposing solutions that enhance system or business value.

Education and experience:

• At least 4-year Bachelor’s degree in quantitative fields with minimum of 5 years of relevant data experience in data scientist /Gen AI, preferably in financial organizations or Masters in quantitative fields (Computer Science, Statistics or similar)
• Experience of working with a multi-cultural, multi-disciplined, globally dispersed teams
• Professional certifications in AI/ML frameworks, cloud technologies, or DevOps tools (e.g., AWS Certified Machine Learning, TensorFlow, or Kubernetes) are advantageous.

Nomura Competencies

Explore Insights & Vision

• Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.

Making Strategic Decisions

• Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.

Inspire Entrepreneurship in People

• Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.

Elevate Organizational Capability

• Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.

Inclusion

• Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).

Diversity Statement

Nomura is committed to an employment policy of equal opportunities and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender, or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

Nomura is an Equal Opportunity Employer
SFID: 12416

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions.

As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We currently have an opening for a Data Centre Cabling Coordinator role for our client in Singapore which is a leading global investment bank. The Cabling Coordinator is responsible for coordinating and managing structured cabling requests across the APAC region, covering data centres and network rooms. 

The role ensures timely delivery, standardisation, and compliance with cabling standards while supporting regional projects and operational requests, including after‑hours and weekend activities when required.

Key Responsibilities

• Act as the regional point of contact for APAC cabling requests (MACs, projects, refreshes).
• Coordinate cabling activities with local sites, vendors, and internal teams.
• Ensure cabling works comply with global standards, labelling conventions, and best practices.
• Review cabling designs, rack layouts, and pathways for feasibility and scalability.
• Track request status, manage schedules, and provide regular updates to stakeholders.
• Validate work completion, testing results, and documentation.
• Support weekend and after‑hours cabling activities for critical implementations.

Required Skills & Experience

• Experience coordinating structured cabling in data centres and network rooms.
• Strong knowledge of fibre and copper cabling standards and practices.
• Experience working across multiple countries/sites in APAC will be an advantage
• Strong coordination, communication, and documentation skills.

Working Conditions

• Regional APAC coverage with occasional weekend and after‑hours support as required.

Duties and Responsibilities:

• Support the Capesize broking team in the negotiation and fixture process by providing timely market intelligence and operational support.
• Monitor and analyze dry bulk shipping market activities, with a focus on the Capesize segment.
• Prepare and distribute daily market updates, including vessel fixtures, freight rates, and route-specific developments to brokers and clients.
• Maintain and update centralized market databases to ensure the accuracy, relevance, and timeliness of information.

Detailed Day to Day task:

• Update and maintain daily records of Capesize fixtures and freight market developments across key trade routes.
• Compile and distribute morning market reports for brokers and clients.
• Support broker communications by preparing market updates and centralized data reports through internal communication channels.
• Ensure all market data, vessel positions, and cargo information are accurately maintained within internal systems.
• Assist brokers in distributing cargo and tonnage availability reports to targeted client groups.
• Follow up on vessel and cargo positions to ensure information remains current and actionable.
• Monitor market movements and provide relevant updates to support ongoing negotiations and commercial discussions.

Job Requirement:

• Good analytical skills with the ability to interpret market data and identify key trends.
• Excellent attention to detail and ability to manage routine, data-intensive tasks efficiently.
• Strong interpersonal and communication skills, with the ability to work effectively with internal stakeholders and clients.
• Customer-oriented mindset with a professional approach to communication.
• Proficiency in Microsoft Excel is required; knowledge of SQL or other data analysis tools is an advantage.
• Ability to work independently while managing multiple priorities in a fast-paced environment.
• Self-motivated, proactive, and eager to learn about the dry bulk shipping industry.
• No prior experience required, training will be provided

Our client is a well established data centre and IT infrastructure company that focuses on providing carrier-neutral data centre services, network connectivity, managed services and related technology solutions.

They are looking for a motivated Data Center Engineer to support the day-to-day operations and maintenance of mission-critical data centre infrastructure. In this role, you will be responsible for ensuring the reliable operation, maintenance, and optimisation of data centre facilities.

Key Responsibilities

Data Centre Operations & Reliability

• Oversee day-to-day operations of critical infrastructure including power, cooling, fire suppression, and monitoring systems.
• Ensure high availability and resilience of all active and redundant systems.
• Lead response to alarms, incidents, and emergencies, performing root cause analysis and corrective actions.

Maintenance & Engineering

• Plan and execute preventive and corrective maintenance activities.
• Review maintenance procedures and implement improvements to enhance system reliability and efficiency.
• Manage testing of backup systems (UPS, generators, switchgear, CRAC, etc.).

Customer & Stakeholder Support

• Coordinate customer installations, move-ins, turn-ons, and infrastructure changes.
• Ensure contracted SLAs and KPIs are met or exceeded.
• Liaise with internal teams, vendors, and customers to support operational requirements.

Projects & Change Management

• Support data centre projects, upgrades, and capacity expansion works.
• Review technical designs, method statements, and risk assessments.
• Oversee contractors and ensure works are carried out safely and in accordance with standards.

Safety, Compliance & Reporting

• Ensure strict adherence to workplace safety, SOPs, and regulatory requirements.
• Prepare incident reports, operational logs, and performance reports.
• Participate in shift coverage and on-call rotation as required.

Requirements

• Willing to work 24/7 rotating shifts
• Willing to work at both locations
• At least 2-3 years of relevant experience for a data centre

Work Locations

Bedok/Woodlands

(Rotation of location will be required)

Working Hours

Morning Shift: 8.30am - 8.30pm

Night Shift: 8.30pm - 8.30am

(Shifts will rotate every 2 weeks)

Shift pattern: work 3 days rest 3 days, work 2 days rest 2 days

Salary

Up to $4800

Benefits

AWS, Variable Bonus, Allowances, Flexi benefits, 21 days annual leave

Interested candidates kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

Search Avenue Pte Ltd

EA License No.: 25C2695

EA Registration No.: R25157669 [Amanda Wee]

Job Scope:

You will leverage AI/ML, statistics, data technologies and cloud computing platforms to develop integrated, innovative data-driven solutions which will support and advance core work and strategic goals against the backdrop of an evolving energy landscape. The key responsibilities of the officer include:

• Design, build, deploy, manage and maintain end-to-end data and AI/ML projects, as well as Big Data and Cloud platforms to meet the multi-faceted needs of a rapidly growing data-driven organization in the energy sector
• Perform project management and product owner activities for the development, testing and maintenance of enterprise data systems such as data lakes, analytics platforms and AI platforms according to the Agile methodology;
• Develop and implement scalable and reliable Extract, Transform and Load (ETL) processes for the ingestion and integration of large, structured and unstructured data from a variety of data sources. This includes systems that are on-premise and cloud platforms
• Working with business users, project teams, government agencies, international organizations and industry partners to explore new AI/ML and data technologies, tools and techniques in the energy sector; and identify new deployable solutions to support and advance the companty's core work and strategic goals.

Requirements:

• Education in Computer Science, Data Science, Statistics, Economics, or other related disciplines with substantial quantitative content
• Relevant working experience, especially in handling data analytics or AI/ML projects; as well as strong knowledge of data/cloud technologies.
• Demonstrable experience in leveraging data/ML techniques such as data mining, data engineering, machine learning, natural language processing, etc.
• Demonstrable experience in programming languages like SAS, R, Python, Java, or Scala for data science and/or data processing applications.
• Excellent analytical, coordination and communication (written and verbal) skills are critical for this position.
• Background in handling data analytics as well as strong knowledge of data/cloud technologies.
• Applicants must possess an independent problem-solving mindset with a strong desire to find innovative and 'out of the box' solutions to problems.
• Applicants must possess strong interpersonal skills to engage, collaborate, build and maintain relationships with stakeholders.
• Applicant must be a committed team player, with a strong interest to shape Singapore's energy landscape and public service.
• Knowledge/experience in working with Gen AI technologies such as LLM models would be an advantage.

Working Hours: Office Hours

Contract Period: 12 months

Salary: $4500-$7500/month (depending on job position, qualifications and experience)

Location: Pasir Panjang

EA License No: 96C4864
Reg. No.: R24121728 EUNICE WOO JING QI

Responsibilities

·      Tolead the quality improvements through working with all relevant department andsupplier on the Kaizen activities.

·      To understand customer manufacturing quality requirement & align with the business agreement so as to work effectively with all suppliers to achieve KPI target for the line rejection.

·      Perform analysis on internal defects and drive improvements from relevant departments to achieve quality KPI.

·      To support Quality System Lead in ISO implementation for the company

·      To collaborate with internal team and provide support to Quality System Lead in all certifications requirement for the products as stated by customer

Requirements

·       Degree/ Diploma in Engineering with at least 3 years of relevant working experience in Manufacturing

·       Ability to work with the customer, HQ /factory, Peers / Subordinate, and Superiors

·       Strong problem-solving and interpersonal skills

·       Ability to work with minimal supervision

·       Able to handle customer complaint and work well with internal & external department to resolve quality issue

·       Able to provide constructive solution /advice to the team

·       Good knowledge in ISO management and customer audit

To find out more about this opportunity, please contact Lionel Liew atlionel.liew@gmprecruit.com.

We regret that only shortlisted candidates will be notified.

GMP Technologies (S)Pte Ltd   |   EA Licence: 11C3793 |   EA Personnel: Lionel Liew   |   Registration No: R1330693

Job Description

Ensuring Compliance with the PDPA

To ensure that the organisation meets specific PDPA requirements. This includes overseeing the processes and systems in place to secure personal data and assessing potential risks in data management.

Identifying and Escalating Potential Risks to Management

Responsible for identifying potential data protection risks within the organisation and escalating these risks to management. This ensures that leadership is aware of vulnerabilities and can take appropriate action to mitigate them.

Increasing Stakeholder Awareness

To educate employees on data privacy and PDPA requirements and organise training sessions that help staff understand the importance of data protection and the practices they must adopt to ensure compliance.

Raise awareness among external stakeholders, such as contractors and business partners, about the organisation’s data protection obligations and policies.

Handling Data Inquiries and Complaints

When it comes to data-related enquiries from individuals within and outside the organisation, a DPO serves as the very first point of contact. They address concerns, investigate complaints and work to resolve issues related to data handling practices.

Developing and Implementing Data Protection Policies

Establishes specific data protection policies and has them tailored to the unique data handling practices of the company. These policies guide employees in handling data responsibly to create a structured approach to data privacy.

Liaising with the Personal Data Protection Commission (PDPC)

Acting as the primary liaison with the Personal Data Protection Commission (PDPC),a DPO should actively facilitate communication regarding any data protection issues, audits, or incidents. This connection allows the organisation to remain informed on regulatory changes and enforcement actions.

Ad-hoc duties assigned by immediate superior.

Job Requirements

• Bachelor’s degree or Diploma holder in any discipline.
• Proficient in data protection and compliance. Able to educate, train and facilitate PDPA related work.
• Strong interpersonal and communication skills, verbal and written, to collaborate and engage with various levels of stakeholders.
• Keen and motivated to continuously learn and improve, proactive and thrive when facing challenges.
• Diligent in completing tasks and processes from start to end, adhere well to timelines independently and as a team.
• Resourceful, analytical and keen in problem-solving.
• Proficient in MS Office applications.

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.

About Us:

From business process re-engineering to global business expansion for Japanese corporations, ABeam Consulting has served our clients through more than 40 years of growth. With our vision of being the No. 1 global consulting firm from Asia, ABeam Consulting helps our clients take on the challenge of business transformation. With 4,400 consultants in Japan, and 3,100 in overseas offices concentrated in Asia, our 7,500 consultants and global alliance partners provide truly comprehensive services.

Responsibilities:

• Partner with business stakeholders and technology teams to gather data requirements specific to banking products, transactions, customers, reporting and analytics.
• Design and maintain logical and physical data models that reflect core banking operations, risk management, compliance, financial reporting or analytics needs.
• Translate complex business use cases into normalized and de-normalized data structures optimized for both operational and analytical workloads.
• Implementation and evolution of data marts, data warehouses, and integration layers aligned with banking architecture.
• Collaborate with development teams on physical data model deployment and performance optimization for large financial datasets.
• Ensure data models adhere to data governance, data quality, and metadata management standards across banking domains.
• Provide data architecture documentation, data dictionaries, and lineage diagrams for regulatory, audit, and business usage.
• Support data lineage, metadata management, and data quality initiatives to enhance trust and transparency in data usage.

Requirements:

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
• Minimum 7 years of experience in data architecture, data modelling, or data management, banking or financial services industry.
• Basic knowledge of data governance (i.e. DAMA-DMBOK).
• Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.
• Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).
• Advanced SQL skills and strong ability to work with large, complex financial datasets.
• Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.
• Intermediate understanding of regulatory compliance in the APAC region.
• Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.
• Experience with the American data management system “Collibra” is a plus.
• Experience in Alteryx System is highly preferred.

Why Join Us

At ABeam Consulting, we place a strong emphasis on collaboration, and helping our employees grow and develop their skills, offering a supportive and empowering work environment. With a presence in multiple countries and a diverse range of clients, ABeam Consulting offers an exciting and dynamic workplace for individuals looking to build a career in consulting. ABeam Consulting has also recently joined SAP’s regional strategic partner initiative as their first regional partner in the region and has also been recognized by UiPath as a Diamond Partner in providing RPA solutions. With such accolades, we aim to continue driving enterprise and digital transformation initiatives in order to transform the way people work and communicate in the digital age. In addition, our industry team is working tirelessly in order to bring more solutions to the banking and finance sector.

We regret only shortlisted candidates will be notified.

As a Data Center AutoCAD Design Engineer, you will be responsible for designing, implementing, and maintaining our data center infrastructure to ensure optimal performance, reliability, and security. You will work closely with our engineering teams to help out our growing infrastructure needs and show your work through your command of your AutoCAD design experience.

Responsibilities:

● Design and create layouts of data center infrastructure including facilities structure, cabinets, overhead ladders and raceways, structured cabling, aisles (hot & cold), cabinets, mechanical, electrical, servers, storage, and networking equipment.

● Perform capacity planning and resource allocation to ensure the scalability and efficiency of our data center environment.

● Monitor and optimize the performance of data center infrastructure components to meet service level agreements (SLAs) and business requirements.

● Troubleshoot and resolve infrastructure-related issues, collaborating with cross- functional teams as needed.

● Implement and maintain security measures to protect data center assets and ensure compliance with industry standards and regulations.

● Plan and execute infrastructure upgrades and migrations with minimal impact on ongoing operations.

● Document configurations, processes, and procedures to ensure knowledge sharing and operational continuity.

● Stay abreast of the latest developments in data center technologies and best practices, recommending and implementing improvements as necessary.

● Utilize AutoCAD design experience to create detailed technical drawings and models for data center layouts and infrastructure components.

Requirements:

● Strong knowledge of data center architecture along with the minimum design requirements for a network, compute, and storage racks as well as layers 2/3 and virtualization platforms

● Proven experience in a colocation, inside plant, or telecommunications facilities engineer or similar role in a large-scale data center or telecom environment.

● Solid understanding of physical design standards and IT security best practices in data centers and colocation facilities.

● Strong understanding of public cloud infrastructure as well as cloud-native applications, preferably with demonstrable experience in helping scale the overall global footprint of a geographically diverse production network

● Excellent troubleshooting skills with the ability to analyze complex issues and implement effective solutions.

● Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

● Relevant certifications (e.g., CCNA, MCSE, VCP, Autodesk Certified Professional) would be a plus.

● Proficiency in AutoCAD or similar software for designing data center layouts and infrastructure components.

We are representing a subcontractor to hire for a Senior Project Engineer (Electrical) with experience in Data Center projects.

Key Responsibilities

• Manage and oversee electrical engineering works for data centre construction projects
• Coordinate closely with main contractors, consultants, subcontractors, and internal teams
• Review electrical drawings, specifications, and technical submissions
• Supervise installation, testing, and commissioning of electrical systems (e.g., LV/MV distribution, UPS, generators)
• Ensure compliance with safety standards, regulatory requirements, and project specifications
• Track project progress, resolve site issues, and support schedule and cost control
• Provide technical support and guidance to junior engineers and site teams

Requirements

• Degree in Electrical Engineering or relevant discipline
• Minimum 2-6 years of experience in data centre / mission-critical projects, with a strong electrical focus
• Experience working for subcontractors or on-site project execution roles preferred
• Solid understanding of electrical systems installation and coordination within construction environments
• Strong communication and stakeholder management skill

Interested candidates, please apply here.

Job Summary 

As an augmented resource in the Enterprise Knowledge Department, you play an important role in transforming how the Authority works with structured and unstructured data. You will be part of a dynamic team responsible for developing, enhancing and maintaining IT systems/applications that support data management needs. 

Key Responsibilities 

• Analyse the Authority’s data needs and document the requirements. 

• Refine data collection/consumption by migrating data collection to more efficient channels. 

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.  

• Develop test plan and scripts for system testing, support user acceptance testing. 

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution. 

• Ensure the smooth operations and service level of IT solutions. 

• Support production issues. 

What we are looking for 

• Good understanding and completion of projects using waterfall/Agile methodology. 

• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.   

• Understanding of reporting or visualization tool like SAP BO and Tableau is important. 

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.  

• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica. 

• Strong SQL and data modelling and data analysis skills.  

• Good understanding of analytics and data warehouse implementations. 

• Ability to troubleshoot complex issues ranging from system resource to application stack traces. 

• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage. 

Requirements:

• Excellent ethics and positive learning attitude

• Leadership potential and ready to take on challenges (view challenges as opportunities instead!)

• Team player and enjoys interactions with people

Responsibilities:

• Implementing ethical sales technique with integrity & enthusiasm

• Lead and drives a team towards a common goal

• Relationship builder with established clients, customers and consumers

Benefits:

• One on one MENTORSHIP & SUPPORT system Performance based

• BUSINESS ADVANCEMENT

• Highly motivated, FUN and FAMILY-liked environment

• TRAVELLING opportunities – Regional and International

Sounds like something you are seeking for?

Send in your resume to us by clicking APPLY NOW. We will bring you on to a GREATER ADVENTURE!

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

Job Description:

This role is ideal for individuals seeking real-world exposure in sales, marketing, and leadership development. You will be trained to execute campaigns and grow with the company based on performance.

Key Responsibilities:

• Support marketing and customer acquisition campaigns
• Represent brands at events and outreach activities
• Build communication and people-management skills
• Work closely with team leaders to achieve targets

Who Should Apply:
• Individuals who are goal-driven and performance-oriented
• No prior experience required

Benefits:

• Performance-based rewards
• Clear career advancement opportunities
• Ongoing coaching and leadership development

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.