Total 351 Junior Executive data entry job vacancies in Australia

Job Duties:

• Manage and maintain accurate records related to personnel onboarding and offboarding processes.
• Prepare and distribute required forms and documentation to applicants.
• Follow up to resolve any missing or incorrect information during the application process.
• Support verification procedures and report any concerns to the appropriate parties.
• Communicate outcomes of application reviews through official correspondence.
• Coordinate the production and distribution of access credentials or identification materials.
• Maintain updated logs for tracking and reporting purposes.
• Provide general administrative support for additional tasks as needed.

Requirements

• Prior experience in administrative functions

Interested applicants please send your resume in MS Word format and attention it to Rachel Yeo (R22104385).

Shortlisted candidates will be notified

Data provided is for recruitment purposes only

www.ambition.com.sg

EA Registration Number: R22104385

Business Registration Number: 200611680D. Licence Number: 10C5117

Fresh without experience-Starting basic is $2800-$3000+$500

Industry: Engineering

Located at Kaki Bukit

Japanese MNC

Have AWS + Bonus + Yearly increment

Job Description

• To attend weekly meeting and presentation
• To write technical report
• To handle specific jigs during service jobs
• Assist senior colleagues to perform higher-level job like robot teaching & sub-units
• To perform 24x7 standby duties based on roster
• To perform ad-hoc shift work when needed when required.
• To perform ad-hoc delivery work

Requirements

• Diploma in Engineering
• No experience / fresh entry welcome to apply
• Have driving license

Applications:

Please submit a copy of your updated CV in MS Word format stating to emilyfong@atomrecruit.com:

• Current Salary
• Expected Salary
• Date of Available and Reason for Leaving

All applicant will treated private and confidential

Emily Fong

Senior Talent Specialist

Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443

EA Personnel Reg No.: R1768368

Fresh without experience-Starting basic is $2600-$3000

Industry: Engineering

Located at Chai Chee

Japanese MNC

Have AWS + Bonus + Yearly increment

Job Description

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

Requirements

• Diploma in Engineering
• No experience / fresh entry welcome to apply
• Have driving license

Applications:

Please submit a copy of your updated CV in MS Word format stating to emilyfong@atomrecruit.com:

• Current Salary
• Expected Salary
• Date of Available and Reason for Leaving

All applicant will treated private and confidential

Emily Fong

Senior Talent Specialist

Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443

EA Personnel Reg No.: R1768368

Kickstart your marketing career with hands-on experience and structured training!

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 (office-based with on-site activities)

Only shortlisted candidates will be notified.

About the Job

The role is part of Group Data Management & Governance, to operationalise data and AI initiatives and support data & AI governance across the Group.

Key Responsibilities :

• Design, develop and maintain data and AI governance, and data management artefacts (e.g. framework, policies, standards and guidelines) to ensure relevancy and up-to-date to meet the organization’s strategic objectives and business needs, as well as be aligned to regulatory requirements.

• Support the department’s communication strategy, programs and initiatives to raise the overall data literacy, data control and data management obligations across the Group to enable intelligent workforce.

• Refine and operationalize the various aspects of data & AI governance to effect proper ownership and accountabilities across the Group.

• Enforces Group Data & AI project management practices and processes.

• Perform oversight and support country and subsidiaries to ensure alignment of governance practices, data management obligations, and standards.

We are looking for people who

• Degree from recognized tertiary institution with at least 8 years of working experience where at least 3 years of hands-on experience in data and/or AI governance, project management, audit or compliance in insurance or financial services industry.

• Detail oriented and analytical, with good problem solving, project management and organizational skills.

• Good understanding of the principles of project management, e.g. project risk management, project control gates etc.

• Strong change management skills and/or experience in organization transformation programs.

• Experience in operationalizing processes an added advantage.

• Experience in IT Service Management an added advantage.

• PMP Certification an added advantage

• Exposure and understanding on data, architecture diagrams and up-to-date on data and technology landscape (e.g. Hadoop, cloud, data warehouse, AI and ML)

• Good team spirit, stakeholder management and interpersonal skills.

The Junior Data Engineer will play a crucial role in building and maintaining the data foundations that support analytics,

reporting, and machine learning initiatives. This role is responsible for helping transform raw data from multiple sources into

reliable, high-quality, and business-ready datasets that enable better decision-making across the organization.

Working closely with data engineers, data analysts, and ML engineers, the Junior Data Engineer will support the

development of data pipelines, data quality processes, and monitoring practices in a cloud-based environment. This role is

ideal for someone eager to grow in data engineering, contribute to production-grade data solutions, and continuously learn

modern tools, processes, and best practices.

What you’ll be doing:

● Develop, maintain, and optimize ETL/ELT data pipelines using SQL and Python

● Collect and integrate data from multiple sources, including batch and near real-time systems

● Transform raw data into clean, validated, and business-ready datasets for analytics and machine learning use cases

● Implement data quality checks, validation, and QA processes to ensure data accuracy and reliability

● Write, test, and maintain SQL and Python code to support scalable and dependable data workflows

● Monitor data pipelines and assist in incident investigation, incident management, troubleshooting, and resolution

● Collaborate with data analysts, ML engineers, and other stakeholders to support evolving data requirements

● Contribute to documentation, knowledge sharing, and continuous improvement of data engineering practices

Technical Skills

• Basic experience with cloud platforms (GCP preferred)

• Working knowledge of SQL and Python

• Exposure to ETL/ELT concepts and data pipeline development

• Familiarity with version control (Git)

• Basic understanding of DevOps practices, such as:

CI/CD pipelines

Infrastructure as Code (e.g., Terraform)

● Awareness of agile software development methodologies

Operational Knowledge

● Familiarity with incident management concepts, such as monitoring,

alerting, and issue escalation in production systems

● Willingness to learn monitoring, alerting, and production support

practices

Soft Skills

● Clear and effective communication skills

● Ability to collaborate with cross-functional teams

● Adaptable and eager to learn new tools and technologies

● Good problem-solving mindset and attention to detail

Why join Angkas?

• Freedom of work
• Work-life balance
• Free meals and use of gym
• Opportunities for promotion
• Competitive salary
• Pay raise
• Start-up environment
• Multi-cultural and Agile work environment
• Diversified use of technology

The Data Scientist works closely with business stakeholders to uncover challenges, refine use cases, and design analytical solutions that drive measurable outcomes. This role spans the entire data science lifecycle—problem framing, data preparation, modelling, evaluation, communication of insights, and enabling adoption through compellingvisualizations and decision‑support tools.

Key Responsibilities

1. Problem Definition & StakeholderEngagement

• Facilitate discussions with business users to understand their pain points, clarify objectives, and convert them into analytically sound data science problem statements.
• Collaborate with stakeholders throughout the project to refine hypotheses, validate findings, and align on priorities.
• Manage expectations and timelines while balancing analytical depth with business needs.

2. Data Preparation & FeatureEngineering

• Conduct data cleaning, preprocessing, and transformation for both structured and unstructured data to ensure high data quality.
• Perform feature engineering to extract meaningful attributes that enhance model performance.
• Identify relevant datasets and integrate multiple data sources to support analytical work.

3. Analytical Modelling &Experimentation

• Explore data using statistical techniques to uncover trends, patterns, and relationships.
• Build machine learning models for prediction, classification, clustering, or other analytical tasks as required by the use case.
• Evaluate model performance and iterate based on stakeholder feedback and performance metrics.

4. Insights Delivery & Communication

• Translate analytical results into actionable recommendations that stakeholders can apply to drive decisions or business improvements.
• Develop clear, compelling narratives that explain insights and model behaviours in an accessible manner.
• Present analysis with well‑designed visuals, dashboards, and interactive tools that support storytelling and data exploration.

5. Visualisation & User‑Facing Tools

• Design dashboards and interactive visualizations to facilitate self‑service analytics and real‑time data monitoring.
• Apply strong visualization principles to ensure insights are intuitive and impactful.
• Build and deploy customised visual interfaces tightly integrated with underlying data systems.

6. Deployment, Monitoring &Continuous Improvement

• Support model deployment into production environments and collaborate with engineering teams to operationalize models.
• Monitor model performance over time and recommend enhancements as required.
• Contribute to agile project workstreams and participate in ceremonies such as stand‑ups, reviews, and retrospectives.

Required Skills & Competencies

Analytical & Technical Skills

• Ability to convert business challenges into analytical questions and identify appropriate data sources.
• Proficiency in writing data preparation and analysis scripts using tools such as Python, R, SQL, pandas, or equivalent.
• Strong foundation in descriptive statistics, probability, data exploration, and hypothesis testing.
• Skilled in building and validating machine learning models, using modern techniques and frameworks.
• Solid understanding of system design concepts, data structures, and algorithms.

Data Visualization & Storytelling

• Strong command of data visualization principles and tools.
• Capable of developing dashboards and interactive visual tools (e.g., using Tableau, Power BI, Plotly, or custom frameworks).
• Ability to communicate analytical insights through structured storytelling tailored for decision‑makers.

Data Engineering Familiarity

• Understanding of data modelling, data access patterns, and data storage structures such as data lakes, data marts, and data warehouses.
• Familiarity with REST APIs, web protocols, and data extraction via web scraping technologies.
• Comfortable working with big data frameworks (e.g., Spark, Hadoop, Kafka) when required for large-scale processing.

Soft Skills

• Strong communication skills, both written and verbal, with the ability to influence non‑technical audiences.
• Effective stakeholder management and experience working in iterative cycles with feedback loops.
• Organized, self-driven, and able to manage multiple priorities in an agile environment.

Experience Requirements

• Proven experience conducting end‑to‑end data science projects—from scoping and data preparation to modelling and deployment.
• Experience collaborating with diverse teams and managing stakeholders across business and technical functions.
• Prior experience in agile project management or participating in agile delivery teams.

Qualifications

• Degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Mathematics, Information Systems, or related fields.
• Experience with production‑grade machine learning workflows is an advantage.

Please send your details in MS Word format to john@oaktree.com.sg:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.