Total 319 data entry job vacancies in D14 Geylang, Eunos

Job Scope & Responsibilities:

• Preparing payment responses
• Data input and updating records.
• Basic data verification and accuracy checks.
• Sorting documents, data entry, and data extraction
• Scanning, filing, and indexing of documents
• With and without experience also welcome
• Can start work immediately
• PC literate

Monday to Friday; 9am - 6pm

Location : Ubi Crescent

As part of the team, we are looking for Data Entry Clerk.

Job Description

• To perform data entry into the accurately input and update data in the content management system
• Provide Data Entry to support department team an ensure smooth running of administrative matters
• Compiling and sorting information to prepare source data for computer entry
• Reviewing data for deficiencies or errors, correcting any incompatibilities if possible and checking output
• Researching and obtaining further information for incomplete documents
• Creating accurate spreadsheets
• Provides administrative support to ensure an efficient office operation
• Great knowledge in MS Office and MS Excel
• Perform other ad-hoc duties that are being assigned and when required

Requirements

• Minimum O-Level with at least 1 year of relevant data entry work experience preferably in manufacturing industry
• Strong communication and interpersonal skills
• Familiar with Microsoft Office and Excel
• Team player & supportive of the operational needs
• 5 days work week

✔ Good Career Starter !!!

✔ Our Client is one of the Leading Data Management Company

✔ Till End of December

Working location:

Jurong West

Working hours:

Mon-Fri (830am - 6pm)

Responsibilities:

• Scanning and filing of documents in a fast-paced environment.
• Perform data entry duties by ensuring all data are keyed in correctly into database.
• Any other ad-hoc duties assigned.

Requirements:

• At least GCE ‘N’ Level qualification is needed.
• Able to Start Immediately

How to Apply:

Please prepare your updted resume (Include your current salary and expected salary) and email to ellen.lee@achievegroup.asiaor Whatsapp +65 8512 8044

We regret only shortlisted candidates will be notified.

EA License No: 05C3451
EA Personnel Reg No: R2198644
Ellen Lee Wei Xin

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Technology Solutions Office is looking for Data Analyst

Internal Code: A24040

What will you do?

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines.
• You write clean and iterative code for continuous delivery practices to deploy, support and operate data pipelines.
• You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stacks.

What are we looking for?

• From 3 to 5 years of experience working as a data analyst or related role.
• Hands-on experience in Tableau, Power BI, AWS Glue, AWS RedShift, QlikSense
• Proficiency in programming languages such as Python, Java or Scala.
• Track record in implementing systems using Hive, Scala will be preferred.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
• Bachelor’s in Computer Science, Engineering, or a related field.

What do we offer?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at chi@activate.sg

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

As a Data Engineer, you will be required to:

• Perform data extraction, cleaning, transformation, and flow.

• Design, build, launch and maintain efficient and reliable large-scale batch and realtime data pipelines with data processing frameworks.

• Integrate and collate data silos in a manner which is both scalable and compliant.

• Collaborate with Project Manager, Frontend Developers, UX Designers and Data

• Analyst to build scalable data-driven products.

• Be responsible for developing backend APIs & working on databases to support the applications.

• Bridge the gap between engineering and analytics.

• Work in an Agile Environment that practices Continuous Integration and Delivery

• Work closely with fellow developers through pair programming and code review process

EXPERIENCE AND SKILLS NEEDED

As a Data Engineer, you need to bring to the team:

• Experience with building production-grade data pipelines, ETL/ELT data integration with proper documentation

• Proficient in general data cleaning and transformation (e.g. pandas, pysparks, SQL)

• Knowledge in database design and various databases (e.g. structured dbase(postgres, mysql etc and unstructured -mongodb etc)

• Knowledge about system design, data structure and algorithms

• Knowledge with rest api and web requests/protocols in general

• Comfortable coding in at least 2 scripting language (eg. Python/SQL)

• Comfortable working in both windows and linux development environments

• Interest in data engineering in a big data environment using Cloud

• platforms (i.e. AWS, Azure, Google Cloud)

• Familiar with data modelling, data access, and data storage infrastructure like Data

• Mart, Data Lake, and Data Warehouse.

• Proficient in creating comprehensive data dictionaries to ensure clear and consistent data definitions.

• Skilled in designing Entity-Relationship Diagrams (ERDs) to visually represent data models and relationships.

• Capable of collaborating with stakeholders to understand business processes and develop effective data solutions.

• Familiar with BI Tools such as Tableau

• Familiar with Docker containers

• Experience in data engineering, ETL, and software development, specializing in Oracle PL/SQL, Informatica, and Business Objects.
• Skilled in data integration, migration, and transformation for complex business environments.
• Strong knowledge in business intelligence and data warehousing with experience across banking and finance domains.
• Ability to analyze and optimize data flows to enhance efficiency and reduce costs.
• Responsible for Control-m design and job scheduling
• Provide in-depth analysis and insights for better and efficient decision making of pricing, inventory and purchase requisitions
• Closely worked with business analysts to understand the requirements, design, develop, test, and deploy the ETL
• Develop the data layer using Informatica and Oracle PLSQL

Qualifications-

• 3-5 years of experience in data engineering or a related field.
• Strong knowledge of data warehouse concepts, ETL processes, and data modeling techniques.
• Experience with cloud-based data platforms (e.g., AWS, SnowFlake).
• Proficiency in SQL and experience with NoSQL databases.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Knowledge of data governance principles and data privacy regulations.

Job-Specific Technical Skills:

• Proficiency in Python or Scala for data processing and automation.
• Experience with ETL tools (e.g., Apache NiFi, Talend, Informatica).
• Knowledge of data visualization tools (e.g., Tableau, PowerBI) to support data quality checks and pipeline monitoring.
• Familiarity with version control systems (e.g., Git) and CI/CD practices.
• Experience with container technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
• Understanding of data security best practices and implementation.

Qualifications

Required Experience and Knowledge

• 2-3 years of experience in data science, machine learning, or a related field.
• Strong foundation in statistical analysis and machine learning algorithms.
• Proficiency in Python or R for data analysis and modeling.
• Experience with SQL for data manipulation and querying.
• Familiarity with data visualization tools such as Tableau, PowerBI, or Matplotlib.
• Understanding of customer lifecycle management concepts and metrics.

Job-Specific Technical Skills

• Proficiency in Python or R for data analysis and machine learning.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Knowledge of SQL for data extraction and manipulation.
• Familiarity with big data technologies like Hadoop or Spark.
• Experience with version control systems (e.g., Git).
• Understanding of data visualization principles and tools.

• Leading Education Platform in South East Asia
• Attractive Remuneration Package

Responsibilities:

• Deliver lessons in accordance with the teaching and curriculum standards to ensure a high quality of student learning.
• Monitor student progress through holistic assessments of student behaviour and development.
• Establish and maintain good relationships with students and parents; provide regular updates to parents on students performance and progress.
• Create and maintain a safe and conducive learning environment for students.
• Participate in marketing events and open houses as ambassadors of the company, as required.

Requirements:

• Degree in any discipline.
• Entry level welcome - training will be provided.
• Passion for teaching and nurturing young minds.
• Positive, resilient self-starter with strong work ethic.
• Able to work 3 weekdays and both weekends (Saturday and Sunday).

Salary: $4,500 + variable bonus

Working location: Centers island wide available (Will place you to a centre nearest to your home.)

Working Hours: 5 days work week (3 weekdays + 2 weekends)

To apply, please submit your detailed CV with the following details for faster processing:

• Reason for leaving
• Expected salary
• Earliest availability date

We regret that only short-listed candidates will be contacted shortly.

Data Scientist to address immediate project needs and align to our broader strategy of developing a skilled, adaptive, and future-ready workforce. This role focuses on developing our data capabilities, supporting current and future organisational goals.

Job Role:

Support for Ongoing Projects: Assist in data collection, analysis, and preliminary insights to support project timelines and maintain momentum on strategic initiatives.

Scalability of Data Operations To handle routine tasks like data preprocessing, exploratory analysis, and report generation, freeing up senior team members to focus on more complex data modelling and strategic decision-making.

Skill Development and Knowledge Transfer: Promote a learning culture by supporting talent development through mentorship, enabling skill acquisition for apprentices and fostering knowledge transfer within the team.

Adaptation to Emerging Trends: Leverage apprentices' training in the latest data science techniques to drive innovation, introducing fresh ideas aligned with emerging trends in AI, machine learning, and predictive analytics.

Key Responsibilities:

Data Analysis and Modeling

• Collect, clean, and preprocess large sets of structured and unstructured data from various sources (e.g., user behavior, educational content, performance assessments).
• Apply statistical analysis, machine learning, and predictive modeling techniques to derive insights that enhance educational solutions.
• Develop and refine recommendation systems, predictive models for student performance, and personalized learning pathways.
• Collaborate with stakeholders to design experiments (A/B testing) and analyze the impact of interventions.

Data Visualization

• Create compelling visualizations to communicate findings to technical and non-technical stakeholders, including educators, product managers, and executives.
• Use data storytelling to drive decision-making and improve user engagement.

Collaboration and Communication

• Work with product, engineering, and UX teams to integrate data-driven insights into the development of learning tools and applications.
• Present data findings to internal teams and clients to showcase the impact of data-driven decisions.

Algorithm Development

• Design and improve algorithms that personalize learning content and optimize student outcomes based on user interaction and performance data.
• Continuously refine data collection and processing techniques for improved accuracy and usability.

Note: This is a 6 months attachment with potential for conversion to full time.

• Working together with a managment team to define business and information needs.
• Translate business requirements into analytics and reporting specifications.
• Optimize and automate data collection processes.
• Provide and assist with daily operational tasks and system support.
• Assist and support sales team on current and potential clients.

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

Actxa is hiring for Data Scientist

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis.

The ideal candidate will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

What will you do?

1. Data Collection, Processing and Preprocessing:

• Collect, clean, preprocess, and wrangle raw digital health data to ensure its quality, integrity, and suitability for analysis and modeling.

2. Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive models to identify patterns, trends, and insights for proactive health interventions.

3. Feature Engineering and Model Development:

• Identify and engineer relevant features from diverse healthcare data sources to enhance model accuracy and performance.
• Design, develop, and fine-tune machine learning models for predicting health risks and outcomes.

4. Productization and Code Transfer:

• Follow through toward productization by deploying models into scalable, production-ready solutions.
• Implement data pipelines and automation processes for efficient data processing and extraction.

5. Documentation and Reporting:

• Document research, experiments, modelling techniques, and methodologies followed in projects.
• Provide comprehensive reports and presentations on results, findings, and recommendations derived from data analysis and predictive models.

6. Collaboration and Communication

• Collaborate with cross-functional teams including clinicians, data engineers, and product managers to understand business requirements and align data science initiatives with company goals.
• Effectively communicate complex findings and insights to both technical and non-technical stakeholders.

7. Continuous Improvement and Innovation:

• Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.

What are we looking for?

• Bachelor or Master degree in Data Science, Biostatistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, Computer Science or related discipline.
• 3+ years of experience in data science, healthcare analytics, or preventive medicine
• Proficiency in programming languages: Python, R, SQL
• Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
• Good understanding of biostatistics, epidemiology, and research design
• Familiarity with cloud-based platforms: AWS & Ali Cloud
• Experience with wearable device data, signal and noise processing will be preferred.
• Keen interest in Chronic disease prevention, Population health management and Digital health interventions.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Natural tenacity, resilience, and determination.

What do we offer?

• Fun working environment
• Employee Wellness Program

Actxa Pte Ltd is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Actxa Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Actxa Pte Ltd.

Your personal data will be processed for the purposes of managing Actxa Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice ( ) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Internal Code: AXI25001

*Internship period: At least 5 months, from January 2025

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We create evidence-based, personalised health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

• Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
• Perform on-site or off-site data collection, data organization, storage and processing
• Develop data-driven solutions and insights based on data mining, statistical modelling and machine learning methods
• Perform algorithm testing and validation
• Documentation of research, experiments and modelling findings/results
• Opportunity to be the co-author of our research publications

What are we looking for?

• Year 3 or final year in Data Science, Computer Science, Computer Engineering or related discipline
• Passionate about data science and good working knowledge of Python, SQL and R
• Good understanding or experience in signal processing and machine learning is required
• Keen interest in digital healthcare, wellness and fitness domain
• A 'go with the flow' and positive attitude, adaptable to change and energetic
• Passionate about learning and working with new technologies
• A natural tenacity, resilience and determination

Internal Code: AXI25001

*Internship period: At least 5 months, from January 2025

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We create evidence-based, personalised health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

• Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
• Perform on-site or off-site data collection, data organization, storage and processing
• Develop data-driven solutions and insights based on data mining, statistical modelling and machine learning methods
• Perform algorithm testing and validation
• Documentation of research, experiments and modelling findings/results
• Opportunity to be the co-author of our research publications

What are we looking for?

• Year 3 or final year in Data Science, Computer Science, Computer Engineering or related discipline
• Passionate about data science and good working knowledge of Python, SQL and R
• Good understanding or experience in signal processing and machine learning is required
• Keen interest in digital healthcare, wellness and fitness domain
• A 'go with the flow' and positive attitude, adaptable to change and energetic
• Passionate about learning and working with new technologies
• A natural tenacity, resilience and determination

As a Data Analytics Engineer, you will play a crucial role in our data initiatives by designing, developing, and maintaining robust data pipelines. You will be responsible for extracting, transforming, and loading data from various sources, including the JLL Data Warehouses, into Google Cloud environment.

JLL’s mission is to enable our teams to deliver future proof, consistent, scalable, customer centric services and experiences.

At JLL, we value what makes you unique, and we’re committed to giving you the opportunity, knowledge and tools to own your success. Explore opportunities to advance your career from within, whether you’re looking to move up, broaden your experience or deepen your expertise.

As the business continues to grow, the Data Analytics Engineer role will help underpin the business transformation. It will support steering the technical ship from a data, insights and reporting perspective. It will be heavily business facing and will be highly regarded internally.

As a Data Analytics Engineer, you will play a crucial role in our data initiatives by designing, developing, and maintaining robust data pipelines. You will be responsible for extracting, transforming, and loading data from various sources, including the JLL Data Warehouses, into Google Cloud environment.

We are looking for a Data Analytics Engineer working in the Business Intelligence area:

• with hands-on experience in Business Intelligence tools and databases
• problem solver with strong analytical skills
• with experience in solutions delivery for both internal and external clients
• experience in using visualisation software like Tableau, Power BI, Google Looker Studio for development
• experience with data modelling / transformation, ETL (Extract Transform Load) development (SQL)
• Experience with data storage solutions such as BigQuery, DataBricks, SQL Server
• Experience with data analytics in cloud platforms like GCP or Azure.

Responsibilities:

• Data Ingestion: Design and implement efficient data ingestion pipelines to extract data from JLL Data Warehouse and other sources. Leverage SQL, APIs, Azure/GCP functionalities, and other relevant tools to extract, transform, and load data for analysis.
• Data Transformation: Transform and clean data to ensure data quality and consistency.
• Data Loading: Load transformed data into Google Cloud Platform (GCP)
• Data Modeling: Develop data models to support reporting and analytics.
• Data Pipeline Optimization: Monitor and optimize data pipelines for performance and reliability.
• Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand their data needs.

Requirements:

• Technical Skills: Strong proficiency in SQL, Python, and GCP data services
• Cloud Experience: Experience with cloud platforms, particularly GCP.
• Data Warehousing: Knowledge of data warehousing concepts and best practices.
• ETL/ELT: Experience with ETL/ELT processes and tools.
• Data Modeling: Ability to design and implement data models.
• Problem-Solving: Strong analytical and problem-solving skills.
• Communication Skills: Effective communication skills to collaborate with technical and non-technical stakeholders. Fluency in English is essential.

What you can expect from us:

• We succeed together and believe the best inspire the best, so we invest in supporting each other, learning together and celebrating our success.
• Our Total Rewards program reflects our commitment to helping you achieve your career ambitions, recognizing your contributions, investing in your well-being and providing competitive benefits and pay.