Total 3,918 job vacancies in Singapore

We are seeking a detail-oriented and analytical individual to support digital content operations and performance tracking. This role focuses on ensuring content accuracy, managing workflows, and generating insights to improve overall digital performance.

Key Responsibilities:

Content Management & Operations:

• Manage daily website content updates, uploads, and maintenance, including listings, metadata, and digital records
• Process content update requests from internal teams and external stakeholders efficiently
• Coordinate content approval workflows in line with established standards and compliance requirements
• Perform thorough quality assurance checks before content goes live
• Monitor published content to ensure accuracy, consistency, and relevance

Analytics & Reporting:

• Extract and compile performance data for regular reporting
• Support trend analysis to identify insights from datasets
• Assist in preparing reports on campaign performance and user engagement
• Collaborate with cross-functional teams to support funnel and performance analysis

Requirements:

• Basic data analytics skills with ability to interpret data and identify trends
• Proficiency in Excel or Google Sheets, including handling CSV files
• Strong written and verbal communication skills
• High attention to detail with a strong focus on data accuracy
• Ability to adapt quickly and learn new tools and systems
• Strong problem-solving skills to resolve content and data issues
• Experience with web analytics tools and performance tracking
• Knowledge of data extraction and automated reporting processes
• Understanding of digital marketing funnels and conversion metrics
• Familiarity with content management systems and website maintenance

Job Description

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

Key Responsibilities

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

APPLY NOW!!!

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

Kindly apply through ANY of the following methods:

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

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Facilities Management Engineer / Data Centre Engineer

Facilities Management Engineer / Data Centre Engineer is required to handle Data Centre setup and migration to ongoing operations and optimization. The incumbent is required to handle engineering work in building, design Data Centre facilities. Incumbent must be proficient in handling mission critical environments such data centres, disaster recovery, and business continuity sites.

Responsibilities:

• Involved in handling Data Centre maintenance, managing of operating equipment, troubleshooting and facility safety & security checks.
• Strong involvement in handling emergency response, documenting procedures, and performing maintenance tasks. 
• Handle incident response & risk management managing risk and response to outages.
• Heavily involved in Data centre facilities management.
• Experience in handling Data Centre uptime, security, and efficiency of critical IT infrastructure by managing power, cooling, security, and maintenance.
• Involved in handling calls and emails in a prompt manner.
• Perform planned preventive maintenance (PPM) / Reactive Maintenance (RM) / Service order (SO) to minimize equipment downtime.
• Work as a team to monitor and perform facility inspections and report on condition affecting operations.
• Performs repairs, maintenance and installation.
• Conduct routine monitoring and spot checks of all building equipment and systems.
• Involve in Company ‘s Emergency Response team (ERT), first aid and environmental health & safety (EHS) activities.

Requirements:

• Strong in handling Data centre facilities management.
• Experience in managing Data Centre uptime, security, and efficiency of critical IT infrastructure by managing power, cooling, security, and maintenance.
• Experience in handling Data Centre repairs, maintenance and installation.
• Strong in handling first level troubleshooting / root cause isolation / recovery action.
• Experience in handling mechanical and electrical field / engineering & building services industry (preferred)
• Good in handling Documentation of standard operating procedures / Checklist of equipment Tasks
• Able to read architectural, structural, mechanical and electrical as built (preferred)
• Able to commit to 12hrs rotating shift work that includes day, night and weekends
• Singaporean Only!

We respect your privacy and all communication will be treated with confidentiality.

Please contact us or apply in-confidence to us with you updated MS Word Resume to : jeline@starcareerconsulting.com

Yong Jeline (Reg. No. R1101621)

STAR CAREER CONSULTING PTE LTD (EA License: 20C0353)

We are seeking highly motivated and skilled Data Center/IDF/MDF Smart Hands Support Engineers (L1 & L2) to join our dynamic team. As a Smart Hands Engineer, candidates will be responsible for providing remote and on-site technical support for our critical data center infrastructure, including IDF/MDF rooms. Techs will perform a range of tasks, from basic troubleshooting and equipment handling to more complex issue resolution and project implementation.

This role requires a strong understanding of data center environments, excellent technical skills, and a commitment to delivering exceptional customer service. Willingness to travel locally within Singapore and internationally across APAC.

Responsibilities:

• L1 & L2 Support: Provide first and second-level technical support for data center infrastructure, including servers, network devices, storage systems, power infrastructure (UPS, PDUs), and environmental monitoring systems.

• Remote Hands Support: Execute remote instructions from senior network engineers, including server reboots, basic troubleshooting steps, and equipment configuration changes.

• On-Site Support: Perform on-site tasks such as equipment installation, racking and stacking, cabling, visual inspections, and component replacements.

• Troubleshooting & Diagnostics: Diagnose and resolve technical issues related to hardware, software, and network connectivity. Escalate complex issues to L3 engineers or vendors as needed.

• Monitoring & Alerting: Monitor data center infrastructure for performance and availability, responding to alerts and notifications in a timely manner.

• Documentation: Maintain accurate records of all work performed, including trouble tickets, incident reports, and equipment inventory.

• Preventative Maintenance: Participate in preventative maintenance activities to ensure optimal performance and reliability of data center equipment.

• Vendor Management: Work with vendors to resolve technical issues and coordinate equipment repairs and replacements.

• Project Support: Assist with data center projects, such as new equipment deployments, upgrades, and expansions.

• Adherence to Procedures: Follow established procedures and best practices for data center operations and safety.

• IDF/MDF Management: Maintain and support IDF/MDF rooms, including cable management, environmental monitoring, and equipment organization.

Requirements:

• Diploma/Degree in Electronics, Electrical Engineering, Computer Science, or a related field.

• L1: 0-2 years of experience in a data center or IT support environment. Freshers with relevant technical certifications are encouraged to apply.

L2: 2-5 years of experience in a data center or IT support environment with demonstrable L2 support capabilities.

Technical Skills:

• Solid understanding of data center infrastructure, including servers, network devices (routers, switches, firewalls), storage systems, power infrastructure, and environmental monitoring systems.

• Experience with operating systems (Windows Server, Linux) and virtualization technologies.

• Basic networking knowledge (TCP/IP, DNS, DHCP).

• Proficiency in using ticketing systems and documentation tools.

• Strong troubleshooting and problem-solving skills.

• Experience with cabling standards and best practices.

Familiarity with IDF/MDF room standards and best practices.

Additional requirement:

• Willingness to travel locally within Singapore and internationally across APAC.

Certifications (Preferred):

• CompTIA Server+, Network+, A+

• ITIL Foundation

• Data Center certifications (e.g., CDCP, CDCS)

Summary of the Job

• To accurately input, update, and maintain data in company systems and records, while ensuring materials and transactions are correctly matched to the respective production orders, supporting data integrity and operational efficiency.

Job Responsibilities:

1) Data Entry & Record Managemnt

• Enter data into systems (ERP, QC Apps)

• Perform data verification and cross- checking to minimise errors and discrepancies.

• Generate daily, weekly, and monthly QC data reports as required by the QC team.

2) Material & Production Order Verification

• Cross-check:
  - Production Order Number
  - Item/ Part Number
  - Quantity
  - Ensure no mismatch between materials and system records

3) Communicate with production, warehouse, and relevant departments to clarify missing or incorrect data

4) Generate daily handover report for QC to Warehouse and secondary process

5) Assist leader on job order closing, timesheet update using ERP

6) Other duties as and when assigned

Job Requirements:

• Secondary/ NTC in Engineering and above

• At least 1 year experience in Data entry/ documentation control

• Knowledge of MS Office

• Ability to communicate orally in English language and produce written documentation with clearly organized thoughts

• Self-motivated, highly resourceful, and organized

Responsibilities

• Analyze existing Talend ETL jobs and design equivalent Spark-based pipelines.
• Migrate and optimize data workflows from Talend to Spark (PySpark/Scala).
• Collaborate with data architects to define scalable data lake/lakehouse solutions.
• Developer for data-warehousing, ETL and BI projects in Informatica IDMC and Databricks.
• Responsible for all technical development work and support the leads on technical design and systems impact analysis.
• Integrate Spark pipelines with cloud platforms (AWS, Azure, GCP).
• Work with orchestration tools (Airflow, Databricks Jobs, etc.) to schedule and monitor workflows.

Skills/Requirement

• Degree in Computer Science, Information Technology, Computer Engineering or equivalent
• Minimum 6 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and/or Informatica IDMC.
• Understanding and hands on experience in all phases of project lifecycle & has implementation involvement in at least 4 project cycles.
• Solid understanding of data warehousing concepts and SQL.
• Familiarity with cloud services (AWS EMR, Azure Databricks, GCP DataProc).

Interested candidates, who wish to apply for the above position, please send in your resume to: ansari.abdulrahman@persolapac.com

PERSOL Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

We regret to inform you that only shortlisted candidates will be contacted.

**********************************

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persol.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

**********************************

Senior / Data Engineer

About the Role

We are looking for Senior / Data Engineers to design, build, and optimise scalable data platforms that support analytics and data-driven decision making across the organisation.

You will work closely with cross-functional teams including business stakeholders, analysts, and engineers to deliver robust data solutions and modernise data infrastructure.

Key Responsibilities

Data Architecture & Solution Design

• Collaborate with stakeholders to gather requirements and translate them into scalable data solutions
• Design data architectures aligned with enterprise data strategy and governance standards

Data Pipeline Design & Development

• Build and maintain end-to-end data pipelines across ingestion, transformation, and serving layers (e.g. raw, curated, and business-ready datasets)
• Develop batch and real-time data processing workflows
• Implement data quality checks, validation, and monitoring

Data Modelling

• Design and implement data models (star schema, Snowflake, wide tables)
• Apply Slowly Changing Dimension (SCD) techniques for historical data tracking

Platform Optimisation & Maintenance

• Monitor, troubleshoot, and optimise data pipelines for performance, scalability, and cost-efficiency
• Improve reliability and maintainability of existing data systems

Data Governance & Best Practices

• Ensure adherence to data governance, security, and compliance standards
• Contribute to best practices in data engineering, including metadata management and lineage tracking

Collaboration

• Partner with data analysts, data scientists, and engineering teams to deliver business-impacting data solutions
• Communicate technical concepts clearly to non-technical stakeholders

Requirements

Experience

• 5+ years of experience in data engineering or related roles
• Proven experience designing and implementing scalable data pipelines and platforms

Technical Skills

• Strong proficiency in Python and SQL
• Experience with data processing frameworks and APIs
• Solid understanding of data modelling techniques and SCD implementation

Data Platforms & Architecture

• Experience with modern data architectures (Data Lake, Data Warehouse, Lakehouse)
• Familiarity with distributed data processing and pipeline orchestration

Cloud & Tools

• Experience with cloud platforms (e.g. AWS, Azure, or GCP)
• Familiarity with tools such as Databricks, Airflow, or similar
• Exposure to infrastructure-as-code and DevOps practices is a plus

Other Skills

• Strong problem-solving and analytical thinking
• Ability to work in cross-functional teams and manage stakeholders effectively

Nice to Have

• Experience with real-time streaming pipelines
• Exposure to data governance frameworks and regulatory environments
• Experience supporting large-scale data platform modernisation

For more information you can contact Norean Tan at norean.tan@sanderson-ikas.sg

We regret to inform you that only shortlisted candidates will be notified / contacted.

EA Registration No.: R1434118 - Tan Lee Ying, Norean

iKas International (Asia) Pte Ltd

ROC No.: 200914065E | EA License No.: 16S8086

Key Responsibilities

Design and maintain interactive dashboards and reports using Tableau or Power BI to monitor KPIs and support operational/business decision-making

Develop automated data pipelines in Python and SQL to extract, clean, and transform large, complex datasets from multiple sources

Partner with business, product, and tech stakeholders to gather requirements, define KPIs, and translate data into clear business recommendations

Perform root cause analysis on data mismatches and production reporting issues, ensuring accuracy, consistency, and reliability

Manage data assets in platforms like Databricks with Unity Catalog, enforcing governance, access control, and compliance

Lead A/B testing and experiment design to optimize campaigns, product features, and user engagement

Investigate market/operational data usage and entitlements to identify cost-saving opportunities and improve visibility

Liaise with external vendors like Bloomberg, Refinitiv to resolve data definitions, usage charges, and data-related queries

Document data processes, reporting logic, and validation rules to ensure operational clarity and continuity

Mentor junior analysts and promote best practices in data visualization, SQL, and Python Required

Skills & Qualifications

4+ years of experience in data analysis, BI, or data analytics roles

Expert proficiency in SQL: MySQL, PostgreSQL for complex queries and schema design

Strong Python skills with Pandas, NumPy for data manipulation and automation

Hands-on experience with Tableau, Power BI, and Advanced Excel

Proven experience building and maintaining data pipelines and automating reporting workflows

Solid background in data mining, transformation, and statistical analysis including A/B testing and hypothesis testing

Experience with cloud/data platforms: Databricks, GCP, AWS, or Informatica

Strong stakeholder management skills with ability to translate business needs into data solutions Experience supporting production reporting systems and resolving data integrity issues

Preferred Qualifications

Domain experience in financial services/market data, healthcare, or gaming

Experience with Unity Catalog, data governance, and vendor data management

POSITION GENERAL DUTIES AND TASKS :

We are seeking apassionate and skilled Data Scientist to design, develop, and deploy AI modelsthat power personalised customer engagement across digital and non-digitalchannels. This role is expected to work with various stakeholders to develop AIsolutions and transform multidimensional data—structured and unstructured—intoinsights and engagement ideas that enhance customer satisfaction and businessperformance.

•Collaborate with cross-functional teams to gather business requirements

•Perform feature engineering using customer, product, digital, and behaviouraldata

•Design and build scalable AI models

•Evaluate AI model performance using technical and business metrics

•Design end-to-end model pipeline and conduct various tests to ensurerobustness of solution

•Prepare model documentations and testing reports

We are looking for people who

•Bachelor’s or Master’s degree in Data Science, Computer Science,Statistics, or related fields.

•3–5 years of experience in a data science or analytics role.

•Strong command of Python (especially for text analytics and datamanipulation).

•Solid experience with SQL for querying large datasets.

•Familiar with machine learning libraries and GenAI.

•Ability to work with various types of data and derive meaningful insights.

•Strong communication skills and stakeholder management experience

.

Strong analytical, problem-solving, and stakeholder management skills.

Experience with SQL and data analysis/reporting tools.

Excellent communication, documentation, and facilitation skills.

Ability to work across cross-functional teams in a fast-paced environment.

Senior Legal Counsel | Renewable Energy / Infrastructure / Data Centres | Construction Disputes & Arbitration | 8+ PQE | Singapore / Malaysia CL-OC-22

Interested applicants: please email your CV to claire@2nats.com and quote CL-OC-22 (do not rely only on the job portal, TQ!)

About the company

Our client is an established regional platform with a growing portfolio of renewable energy, infrastructure and digital projects across APAC. They are looking for an experienced construction disputes lawyer to support contentious matters arising from complex live projects, with particular focus on claims strategy, dispute management and resolution.

The opportunity

This role is suited for a lawyer with strong experience in contentious construction matters, including claims assessment, dispute strategy, settlement negotiations and formal proceedings. You will work closely with internal project, commercial and management teams on live issues across major projects, and help shape the approach to both pre-dispute and active dispute matters.

Key responsibilities

• • Advise on contentious construction and project-related issues arising from renewable energy, infrastructure and digital projects across APAC
  • Assess and manage claims relating to delay, disruption, defects, variation, payment, termination, extension of time and liquidated damages
  • Develop dispute strategy and advise internal stakeholders on legal and commercial risk exposure
  • Support and lead settlement discussions with contractors, subcontractors, suppliers and other counterparties
  • Manage pre-dispute processes, including claims analysis, preservation of rights, notices, correspondence and strategic positioning
  • Work with external counsel on adjudication, arbitration, litigation and expert processes where required
  • Review evidence, project records and contractual documentation to support claim prosecution or defence
  • Advise senior management on contentious risk, likely outcomes and resolution options
  • Support the wider business on disputes avoidance, lessons learned and strengthening claims management practices

Requirements

• • Qualified lawyer in a common law jurisdiction
  • At least 8 years’ PQE, with strong disputes experience gained in a leading law firm and/or relevant in-house environment
  • Strong background in construction disputes, arbitration and claims management
  • Experience in infrastructure, energy, engineering, construction or major projects matters
  • Familiarity with EPC, O&M, procurement and other project-related agreements, including FIDIC-based and common law structures
  • Proven ability to handle complex, document-heavy and high-value disputes
  • Strong drafting, analytical and stakeholder management skills
  • Experience across APAC and cross-border matters will be advantageous
    
    
    Interested applicants do reach out via email to claire@2nats.com (do not only apply through this job portal, TQ!)

POSITIONGENERAL DUTIES AND TASKS :
· Design, develop, and implement data storesolutions to support operational and business needs.
· Build and maintain robust ETL pipelines usingTalend and implement automated deployment
workflows for these ETL processes with CI/CD tools.· Develop, optimize, and tune Oracle PL/SQL queries,procedures, and packages to ensure high
performance and reliability.
· Ensure data quality, integrity, and securityacross all data platforms.
· Monitor, troubleshoot, and resolve data workflowand performance issues proactively.
· Translate business requirements into effectivetechnical solutions, ensuring alignment
throughout the project lifecycle.
· Prepare and maintain comprehensive documentationfor technical designs, data flows, and
operational procedures.
· Perform thorough testing to guarantee solutionreliability and data integrity.
· Collaborate with project managers, businessanalysts, and cross-functional teams to ensure
solutions meet business goals and stakeholder expectations.
· Support implementation activities and providepost-launch support to ensure smooth operations.
· Conduct system performance tests and implementimprovements as needed.
· Work closely with the delivery team to deliversystems according to specifications, tracking
assigned tasks to meet project schedules and quality standards.

Game changer, armed with data.

You know all about our users, through data analysis. And because you do, you can identify issues and present insights to our Product Owners, spurring them into action. Working with your team, you play a key role in enhancing our business value. After all, you're the one who ignited the spark. And no spark, no fire.

What a Data Scientist does in Titansoft

• Conduct data analysis to support Product Owner and Business Leaders in business decisions and requirements
• Apply statistical and machine learning techniques to build models for user classification, fraud detection and other objectives
• Identify, understand and solve business problems based on the company's overall targets and design experiments to answer targeted questions
• Develop and automate reports for analytical purposes
• Support key decision makers to improve products and services

What we are looking for in a Data Scientist

Qualifications

• Minimum Bachelor in Mathematics, Statistics, Finance, Computer Science, Information Technology or other equivalent qualifications

Experience

• Experience working with cloud services (e.g. Google Cloud Platform)
• Experience working with statistical software (e.g. R, Python, Excel, etc.) Basic statistical principles and practical applications
• Experience in measuring cost and production
• Experience in scripting with SQL

Skills

• Knowledge of Statistical model and/or machine learning modelling
• Proficiency in Python (must), SQL or other programming languages
• Strong problem-solving skills
• Data visualization (such as Tableau, Excel, etc)
• Ability to translate analysis results into business recommendations and insights
• Ability to present the insights clearly to technical and non-technical audiences
• Strong written, verbal communication and presentations skills

What makes a (Super!) Data Scientist in Titansoft AKA the "great to haves"

• Deep interest and aptitude in data, metrics, analysis and trends, and applied knowledge of measurement, statistics and program evaluation

What everyone gets in Titansoft (psst. We didn't get that Great Place to Work in 2024 for nothing!)

• 18 days of rest and relaxation for each year (P.S. It gets even better over the years!)
• Competitive salaries and bonuses bench-marked against big players in the industry (Yeap, those companies!)
• Flexible working hours (Sleep in a little longer after fixing that pesky bug from last night)
• Comprehensive insurance coverage Wellness fund (Fexibilty to use it for medical, dental, EAP or even attraction parks!)
• Very well-stocked pantry (We've never heard of the term 'Hunger Games', nope)
• Communities of Practice and Workshops catered for your growth and learning
• Substantial subsidies and programs to keep that creative flow while having fun (Health promotion program, annual overseas company outing, an annual dinner that nobody will ever forget, etc.)
• Hardcore work and hardcore fun!

Working at Titansoft will probably be unlike any other careers you have ever had. Discover why you should join us!

We have been alerted that Titansoft's name has been misused in scam calls and emails. We only request personal or bank information after candidates complete our interview process and are formally invited to our office, and all official emails come from "@titansoft.com.sg". If in doubt, contact our hotline to verify and report any suspected scams to the police.

Job Summary:

We are seeking a Data Analyst to support product decision-making through experimentation, data analysis, and reporting. This role will work closely with product and cross-functional teams to drive data-informed improvements and optimize product performance.

Job Responsibilities:

A/B Testing & Experimentation

• Design, execute, and analyze A/B tests to evaluate BT product features and optimizations
• Partner with the BT Product Manager to define success metrics and measurement frameworks
• Document testing methodologies, learnings, and best practices

BAU Data Analysis & Reporting

• Analyze and report on core BT product metrics, including DAU/MAU and app downloads, etc.
• Build dashboards and reports to track product health and performance trends
• Provide regular data updates to support product planning and decision-making

Cross-Team Collaboration

• Support the broader EMTM team in scaling data-driven product iteration across publications
• Translate data into clear, actionable insights for non-technical stakeholders

Job Requirements:

• 1–2 years of experience in a data analyst or similar role
• Strong proficiency in SQL, with hands-on experience in Athena and BigQuery
• Solid understanding of A/B testing methodology and statistical analysis
• Experience with data visualization tools (e.g., Looker, Tableau, Google Data Studio)
• Strong communication skills and ability to present findings clearly
• A collaborative mindset and willingness to learn

Grow Your Skills. Build Your Career. Make an Impact.

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.

About Royal Org

Royal Org is a fast-growing outsourced sales and marketing company specializing in brand and marketing.

We partner with clients across industries, including lifestyle, energy, NGOs and FMCG, to boost brand awareness and drive measurable results!

Why Join Us

• Clear and fast career progression

• ⁠Supportive, dynamic, and ambitious team culture

• ⁠Comprehensive training and 1-to-1 mentorship provided

• ⁠Team events and travel opportunities

• ⁠No prior experience needed

What You’ll Do

• Represent major brands through in-person marketing campaigns

• ⁠Engage customers and build strong relationships

• ⁠Collaborate with your team to grow together

• ⁠Learn and implement effective sales and marketing strategies

At Royal Org, we value passion, professionalism, and potential.

If you’re driven to learn, grow, and achieve, apply now to start your career with us!

(Only shortlisted candidates will be contacted.)