Total 5,468 Full-time data entry job vacancies in Australia

Job Scope Summary – Accounting Executive

• Maintain general ledger and ensure accuracy of financial data

• Perform account reconciliations (GL, AR, AP, FA, Inventory)

• Assist with month-end closing and cash flow monitoring

• Support GST return preparation and liaise with auditors

• Conduct inventory stock take and fixed assets tracking

• Manage supplier and customer master files, invoicing, and LC checks

• Prepare telegraphic transfers via GCMS banking system

• Support data preparation for government surveys (e.g., Singstat, EDB)

• Provide ad hoc support for accounting and finance operations

Requirements:

Diploma or Degree in Accountancy or Finance

Proficient in Microsoft Office (Word, Excel, PowerPoint, Outlook)\

Fresh are welcome to apply!

Key Responsibilities
- Survey Operations:
- Support Project Managers/Directors in achieving survey objectives
- Provide one-stop service to respondents for timely and accurate data collection
- Develop expertise in survey content, objectives, and deliverables
- Data Collection:
- Conduct outbound calls, email correspondence, and personal visits to respondents
- Accurately compile, record, and input survey data into the system
- Data Analytics:
- Leverage data analytics tools to validate and verify survey data quality
- Explore alternative data sources and apply imputation methods for incomplete data
- Data Analysis & Reporting:
- Analyze collected data and produce actionable reports with data visualization
- Present findings effectively to stakeholders
- Dissemination Strategy:
- Develop and execute strategies to raise awareness of statistical products
- Ensure products meet diverse needs of various societal segments

Requirements

- Proven experience in survey operations, data analytics, or a related field
- Strong understanding of survey content, objectives, and deliverables
- Excellent communication and interpersonal skills
- Ability to work independently and manage multiple priorities
- Strong analytical and problem-solving skills

We regretto inform that only shortlisted candidates will be notified.

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Job Descriptions

As the Senior Data Analytics, you will be responsible for architecting the data ecosystem and
bridge the gap between raw engineering and business strategy. This position will design scalable
data models (Star/Nested Schema), orchestrate complex workflows using Airflow/Prefect, and
maintain a high-integrity Modern Data Stack via dbt and CI/CD. This position need to be proficient
in SQL and Python who can build intuitive self-service tools while translating technical complexity
into actionable business insights.

Job Responsibiities

• Design and implement robust data structures using Star Schema and Nested Schema methodologies to support complex business logic.
• Build and manage scalable data workflows using Airflow or Prefect, ensuring high availability and performance.
• Leverage dbt for transformation, Git for version control, and CI/CD pipelines to maintain a rigorous development lifecycle.
• Define and implement data quality tests (schema checks, null value alerts, and referential integrity) within the pipeline to catch upstream breaking changes.
• Create intuitive, high-impact dashboards in Tableau, Power BI, or Sigma that allow stakeholders to find answers independently.
• Implement monitoring tools to ensure data health, proactively identifying and resolving quality issues before they reach the business.
• Utilize Python (Pandas, NumPy) or R to perform complex, repeatable analyses that go beyond standard SQL.
• Act as the bridge between technical infrastructure and business strategy, translating complex data findings into actionable insights for non-technical leadership.

Job Description

1.     Perform detailed cooling load calculations and thermal analysis for data halls, including rack-level heat load assessments.

2.     Design, review, and optimize ACMV systems, including:

- CRAC/CRAH units

- Chilled water systems

- Cooling towers and pumps

3.     Lead and support cooling system upgrades and retrofits, ensuring minimal disruption to live data center operations.

4.     Evaluate system performance using KPIs such as:

o  Power Usage Effectiveness

o  System Efficiency

5.     Conduct energy optimization studies and recommend improvements (e.g., air flow management, containment strategies, setpoint optimization).

6.     Support capacity planning and future expansion work based on IT load growth.

7.     Review engineering drawings, method statements, and ensure compliance with design intent and operational requirements.

8.     Work closely with operations teams to implement EOPs/MOPs for mechanical system interventions.

9.     Participate in risk assessments, failure mode analysis, and incident investigations related to cooling systems.

10.  Ensure all works comply with relevant standards and regulatory requirements in Singapore

Required Qualifications
1.     Bachelor’s Degree / Degree in Mechanical Engineering or related field

2.     Additional certifications relevant to theindustry is an added advantage 

3.     1-2 years’ experience maintainingelectrical, mechanical, fire protection system in a data centre environment

4.     Experience and knowledge of MEP equipmentsuch as CAHU, CRAC, ACMV systems, pumps, cooling towers, UPS, generators, etc.

5.     Strong technical expertise in thermalmanagement, cooling load calculations, and energy efficiency improvements,supporting design and upgrading of cooling systems in data centre environments.

6.     Strong problem-solving abilities,communication skills, and the ability to work independently and as part of ateam

7.     Strong written and verbal communicationskills

8.     Proficient in Computer skills eg.Microsoft office, google emails , docs etc.

9.     Shift work & Standby Duty is required(Shift allowance available)

Working Arrangement: Hybrid, Full Time

Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!

The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.  

In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, and play a pivotal role in supporting strategic business initiatives through data analysis, experimentation and development of metrics and dashboards.

What you’ll be doing

As a Senior Data Analyst, you will:

• Act as a strategic partner working in cross functional teams to grow the extent of data-driven planning and decision making in specific areas, specialising in Conversion Rate Optimization analytics.
• Turn data into insights, predictions, and actionable recommendations, delivering clear business value to your cross functional teams in their business challenges. 
• Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboard designs. 
• Help to design and analyze A/B experiments to improve conversion rate outcomes.
• Work in partnership with Data Engineers and Analytics Engineers to define data requirements, foundational datasets and ensure high-fidelity tracking.
• Contribute to the planning & execution of the Growth team within the organisation - as a group of people, as a partner within cross functional teams and as an enabler to support others to self-serve their data and insight needs.  

Who we’re looking for

If this sounds like you, please get in touch! 

Experience & expertise

• 5+ years in a web analytics, product analytics, or business intelligence role
• Proven track record of designing, executing and evaluating A/B experiments, with the ability to recommend next steps through iterative testing
• Outstanding analytical skills — from querying data to unearth insights, to creating compelling visualisations for ease of understanding
• Strong problem-solving skills with the ability to think beyond the obvious

Data mindset & ownership

• Passionate about data and using it to influence business decisions
• Detail-oriented in ensuring data quality and integrity across everything you present
• Self-starter with a strong sense of ownership — you bring insights to life, not just report them
• Comfortable navigating ambiguity and able to lead complex, loosely-defined projects from first principles through to a clear outcome

Business partnership

• Adept at integrating with business teams to truly understand their challenges and define how data can help — as early as possible
• Strong business acumen with a business-first approach to problem framing
• Track record of delivering clear, actionable business value from data — fit for purpose, not just technically impressive

Communication & storytelling

• Excellent communicator who uses storytelling to make insights land at the business level
• Able to connect data narratives to commercial outcomes in a way that resonates across teams
• Fluent in English
• Thrives working alongside intelligent, passionate people

Technical skills

• High proficiency in SQL and/or other querying languages
• Hands-on experience in Tableau or equivalent data visualisation tools
• Comfortable working with AI tools and incorporating them into your workflow to move faster and think sharper

Nice to have, but not required 

• You are comfortable talking about technology and communicating with developers on technical topics.
• A desire to elevate the team by mentoring junior analysts and fostering a culture of peer review and best practices.

What we can offer you

• Challenging work in a fun and collaborative environment
• Smart, passionate, and intelligent colleagues
• Attractive compensation and time-off benefits
• Spacious open-concept and centrally located offices
• Financially successful and profitable company
• Full-time employment with flexible working hours
• Fully stocked pantry with healthy foods and fresh fruit
• Team lunches and company events every quarter
• Multicultural teams represented by 30+ nationalities

We are looking for a motivated personnel to join our team! If you are someone who enjoys working in a dynamic, team-oriented environment, this could be the perfect opportunity for you!

Responsibilities:

• Identify and engage with potential clients
• Promote products/services through various marketing strategies
• Maintain strong relationships with existing clients
• Lead a team executing marketing campaigns

Requirements:

• Excellent communication skills
• Proactive attitude with a desire to learn and grow in the field
• Ability to work both independently and as part of a team
• Willing to learn and a result-driven mindset

Benefits:

• Opportunities for career growth and advancement
• Ongoing training and professional development
• Travel opportunities
• Supportive team environment

✨ Not your typical 9–5. Not your typical team. ✨

We’re looking for Brand Ambassadors who are:

• Confident, outgoing, and love meeting people
• Hungry for growth (not just a paycheck)
• Ready to level up in sales & marketing

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Key Responsibilities

·       Design, develop, and maintain software applications that support customizable data analysis and AI-driven functionalities.

·       Build and enhance an Amoeba-based modular system that enables flexible configuration of data structures, workflows, and analytical components.

·       Develop and maintain data processing and transformation pipelines to support analytical and AI use cases.

·       Implement, integrate, and optimize AI and machine learning models for data analysis, automation, and intelligent insights.

·       Develop and maintain web-based applications and websites, ensuring reliability, performance, and security.

·       Create, document, and manage technical libraries and reusable components, including AI-enabled APIs and functions.

·       Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.

·       Conduct testing, debugging, and performance optimization throughout the software development lifecycle.

·       Ensure code quality, maintain ability, and compliance with development standards and best practices.

·       Maintain technical documentation and participate in code reviews and system enhancements.

Required Qualifications

·       Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

·       Proficiency in one or more programming languages such as Python, Java, JavaScript, C++, or similar.

·       Strong understanding of data processing, data analytics, and system integration.

·       Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, or equivalent).

·       Experience in web application development (frontend and backend).

·       Familiarity with modular, microservices, or plugin-based system architectures.

·       Knowledge of software version control systems (e.g., Git).

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are seeking a highly motivated individual with a solid background in software engineering, machine learning or/and AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As an Analyst, AI/ML, you will play a crucial role in the development and implementation of cutting-edge Generative AI solutions that address significant business challenges. This role focusses on hands-on implementation, rapid prototyping, and collaboration with cross-functional teams to deliver innovative solutions that address real business challenges. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Responsibilities

• Develop and implement Proof of Concepts (PoCs) prototypes for AI/ML and Generative AI solutions, ensuring alignment with business objectives.
• Write clean, efficient, and well-documented code for data processing, model training, and deployment.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms.
• Conduct experiments to evaluate model performance and optimize algorithms for scalability.
• Stay abreast of the latest trends in AI/ML and actively share knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms, enhancing functionality and user engagement.
• Actively participate in technical discussions and forums across Amex

Qualifications

• Advanced degree (Master/ PhD) in quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Strong programming skills in at least one language (Python, Java, C++, etc.)
• Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing libraries
• Extensive experience in machine learning, NLP and Generative AI, with a demonstrated ability to build scalable prototypes from inception to solution.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects on real-world problems.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Data processing skills such as SQL and BigQuery is a plus.
• Strong ability to translate real-world problems to data science problems.
• Excellent communication and collaboration skills, with the ability to collaborate effectively with both technical and non-technical teams.