Total 10,372 Full-time data entry job vacancies in Singapore

Job Description:

• Be part of a team to build and maintain data systems or pipelines.
• Perform setup, installation, configuration, troubleshooting, and/or upgrade for COTS products.
• Develop or implement ways to improve data warehouses, data lakes, or equivalent platforms.
• Involve in the creation of documentations e.g., design documents, troubleshooting guides etc.

Skill Sets:

• Knowledge and/or experience in data management or data engineering.
• Experience with Linux commands and shell script.
• Knowledge and/or experience in relational (including SQL) or NoSQL database (e.g., document, graph).
• Knowledge and/or experience in one or more of the following will be an advantage:

- Data / Search / Automation platforms such as Hadoop, Elasticsearch, Ansible respectively.

-Data integration tools such as Talend, DataStage, Denodo.

- Programming languages such as Python, Spark.

- Microsoft Azure Cloud services such as Azure Data Factory, Azure Synapse Analytics.

- Analytics platforms such as Databricks, Dataiku, Data Robot.

• Good problem-solving skills.
• Able to work independently and as a team.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Permanent ,5days, Aljunied

Our client

MNC in air conditioning and humidification system solution serving high tech industry

Years in business : > 50 yrs worldwide

Area of business: Global

Job scope:

1. Work with sales team for preparing costing, technical selections, create feasibility studies or work out TCO (Total cost of ownership) calculations on product or system level during project tender stage

2. As the key technical expert person to consult with for pre sales technical requirement

3. Liaise between Sales team and factory for its technical capabilities

4. Equipment is (for Data Centre):

· AHU

· CRAH

· CRAC

· Chiller

· ACMV

Requirements

1. Bachelor of Engineering

2. 3 years’ engineering experience in the Data Centre environment

3. 3 years’ experience with pre-sale consultation with consultant for hvac/acmv

4. 3 years building mechanical engineer

5. Travel required (10%)

6. Knowledge in mechanical, refrigeration, hydraulics or similar

Work location :Aljunied

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

The ideal candidate will use their passion for analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.

Dashboarding and presentation Ability to create dashboards to link, report, and analyze metrics based on available data.

knowledge of design parameters, sampling strategies, data collection, and analytical techniques.

Responsibilities

• Understand the day-to-day issues that our business faces, which can be better understood with data.
• Compile and analyze data related to business' issues.
• Develop clear visualizations to convey complicated data in a straightforward fashion
• Dashboarding and Presentation: Create dashboards to link, report, and analyze metrics based on available data. This includes the ability to prepare effective presentations in content and function and to speak competently to the level of the audience.
• Develop, Understand, and Apply Domain-Specific Technical Knowledge: Complete assigned work, tasks, and support others in the organization by developing, understanding, and applying domain-specific technical knowledge.
• Storytelling: Influence and inspire an audience by crafting stories using data that elicit empathy or create buy-in.

The Successful Applicant:

• Bachelor degree in Statistics or Applied Mathematics or equivalent experience.
• At least 5 years Data Analysis experience in Product Marketing.
• Proficient in SQL
• Create a dashboard from scratch.
• Data judgment Ability to convert and/or uncover open-ended real world problems within the business context into trackable metrics

Job Responsibilities:

• Collate large, complex data sets from diverse data sources
• Responsible for data preparation, data mining, to generate and identify opportunities through analytics.
• Perform exploratory data analysis and provide rapid iterations to refine issues and identify potential solutions
• Interpret and effectively communicate analytical findings and insights to both technical and non-technical stakeholders, facilitating data-driven decision-making
• Play a role in advancing data science infrastructure, tools, and frameworks to enhance efficiency in data analysis, experimentation, and model deployment
• Abide and adhere to data governance policies in servicing data extraction or report requests, metrics and dashboards

Job Requirements:

• Master’s / Bachelor’s Degree in a quantitative discipline (e.g., statistics, biomedical informatics, computer science, applied mathematics, or similar), with 3 years of relevant experience
• Possessed experience with Python, R, or similar programming languages
• Working knowledge of data analysis tools and databases
• Strong analytical skills, with experience solving problems using data and providing practical business insights
• Comfortable with dealing with sets of data points from different sources
• Excellent communication and interpersonal skills to effectively collaborate with diverse stakeholders

To apply, please visit www.gmprecruit.com and search for Job Reference: 24105

To learn more about this opportunity, please contact Yi Fang at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Law Yi Fang | Registration No: R1113115

Job Description:

• Collaborating with engineering and development teams to evaluate and identify optimal cloud solutions.
• Planning, implementation, monitoring and control of scalable and highly available cloud-based systems and solutions.
• Developing and maintaining cloud-based solutions in accordance with best practices.
• Educating teams on the implementation of new cloud technologies and initiatives.
• Ensuring efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security.
• Identifying, analyzing, and resolving infrastructure vulnerabilities and application deployment issues.
• Regularly reviewing existing systems and making recommendations for improvements.
• Interacting with clients, providing cloud support, and making recommendations based on client needs

What you need:

• Degree/Diploma in Computer Science or Information Systems, Computer Engineering or an equivalent qualification
• At least 4 years' hands on-experience deploying, maintaining and troubleshooting cloud infrastructure
• Experience in design, implementation and administration of cloud infrastructure from at least 1 of the major cloud platforms such as Azure/AWS/GCP
• Team player and able to work collaboratively with other members in a team
• Troubleshooting and analytical skills

Having the following will be advantageous:

• Relevant cloud certifications such as AWS Certified Cloud Practitioner, AWS Certified Solutions Architect – Associate/ Professional
• Good understanding of fundamental networking concepts and network design in relation to cloud infrastructure
• Familiarity with IaC tools such as: Ansible/Puppet/Chef/Terraform/CloudFormation/Packer
• Comfortable with scripting in Python/Bash/PowerShell
• Experience in database and web server administration

As a Business Analyst, you will be responsible for the following:

• Prepare documentation of processes, workflows or business requirements
• Experience of acting as conduit between development team and stakeholders in translating requirements into both technical and non-technical speak/language to facilitate communications and engagement
• Support Manager in performing gap analysis, test planning and deployment planning, and ensure the right implementation of IT solution to meet the business needs
• Perform Functional and SIT Testing before release to UAT for User Testing
• Perform User Acceptance Test Planning & automated and manual testing
• Assist to assess vendors in ensuring deliveries from vendors and developers meets standards and user requirements.

Qualifications:

• Bachelor’s Degree/Diploma or higher with strong academic performance, demonstrated quantitative background and abilities
• Preferably have experience with construction IT including BIM related software
• 2+ years of BIM-related Design and/or Construction experience
• Strong analytical and logic skills
• Good interpersonal skills
• Strong communication skills (both written and verbal)
• Ability to organize and prioritize numerous tasks and complete them within very tight timeframe

Job Responsibilities

• Study, analyse and understand business requirements in context to business intelligence.
• Design and map data models to shift raw data into meaningful insights.
• Utilize Power BI to build interactive and visually appealing dashboards and reports.
• Ensure data is cleansed, mapped, transformed and otherwise optimised for storage and use according to business and technical requirements.
• Automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
• Build data pipelines to collectively bring together data.
• Design and implement written code.
• Test data from source to the presentation layer.
• Support and troubleshoot data pipelines.
• Other responsibilities include extracting data, troubleshooting and maintaining the reporting platform.

Job Requirements

• Bachelor’s degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
• Min. 5 years of experience in Data Analytics, Realtime data integration and Business Intelligence
• Experience in building and optimising ‘big data’ data pipelines, architectures, and datasets.
• Strong analytic skills related to working with unstructured datasets.
• Experience in Azure data integration tools e.g., Azure Synapse, Azure Data factory,
• Experience in Power BI report delivery.
• Knowledge in traditional ETL.
• Knowledge in financial sector technologies, products and services will be an advantage.
• Able to multi-task in a challenging technical environment to deliver high quality solutions.
• A meticulous team player who has proactive and positive attitude
• Excellent communication, interpersonal and presentation skills

To apply, please visit www.gmprecruit.com and search for Job Reference: 24076

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

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.

We are seeking a passionate and visionary Lead Data Scientist to lead our data science efforts in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis. Your work will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

In this managerial-level role, you will drive the company’s technology solutions and research initiatives. You are responsible for leading and managing a team of Data Scientists and Researchers in delivering science and data-driven innovations in preventive health and population wellness.

This role requires you to have prior experience in end-to-end solutions deliveries from research to implementation involving Artificial Intelligence, data analysis, Machine Learning (ML), data analysis and statistical modeling.

More information about us: https://www.actxa.com

Actxa is hiring for Lead Data Scientist

Internal Code: AX24002

Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive and prescriptive models to achieve business and commercial goals.
• Explore and identify patterns, trends, and anomalies in data.

Team Leadership:

• Lead, mentor, and manage a team of data scientists and researchers.
• Provide guidance and direction for project planning, execution, and prioritization.
• Foster a collaborative and innovative team culture.

Research Strategy:

• Define research objectives, strategies, and roadmaps in alignment with organizational goals.
• Develop and adhere to clinical research protocols for studies involving human subjects.
• Stay updated with the latest developments in data science and research methodologies.
• Identify emerging technologies and tools that can enhance research capabilities.
• Establish research partnership and collaboration with local and overseas institutions.

Data Collection and Preparation:

• Oversee data acquisition, cleaning, and preprocessing.
• Ensure data quality and integrity to maintain the accuracy of analyses.
• Collaborate with data engineering teams to streamline data pipelines.

Experimentation and Hypothesis Testing:

• Design experiments and conduct hypothesis testing to validate research findings.
• Evaluate the effectiveness of various models and methodologies.
• Implement A/B testing and other statistical methods to drive decisions.

Cross-functional Collaboration:

• Collaborate with consultants, advisors and internal teams, such as software & hardware solution, sales, marketing, and operations, to address business challenges and commercialisation opportunities.
• Provide data-driven recommendations and insights to support decision-making in clinical research projects.

Ethical Data Practices:

• Ensure compliance with data privacy regulations and ethical data handling practices.
• Maintain the security and confidentiality of sensitive data in clinical research studies.

Project Management:

• Manage multiple research projects simultaneously, including resource allocation and timelines.
• Monitor project progress, identify risks, and implement mitigation strategies.

Continuous Improvement:

• Drive process improvements and best practices in data science and research.
• Evaluate and implement new tools and technologies to enhance research capabilities in clinical research studies.

Requirements

• Ph.D in a relevant field such as Computer Science, Data Science, Statistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, or related discipline.
• Several years of experience in artificial intelligence, data analysis, statistical modeling, and machine learning with strong programming skills in languages such as Python, R, SQL and C/C++
• Excellent communication and leadership skills.
• Ability to think critically and solve complex problems.
• Deep interest or knowledge in wearable technologies, preventive health, wellness, fitness, mental health, chronic disease prevention & management, population health, etc.
• Experience with clinical trial design, execution, and analysis.
• Previous leadership or supervisory experience, especially in leading teams of data scientists and researchers.
• Proven track record of successful project management and delivery of data-driven insights and solutions.

What do we offer?

• Fun working environment
• Flexi benefits
• 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.

Job Description

• Check and reply incoming emails
• Answer and transfer incoming calls as necessary
• Screening of applicant resumes and sharing job scope to suitable candidates
• Churn application forms
• Arrange interview for candidates
• Handle any admin duties for the department
• Handle candidate job onboarding process (e.g. signing contracts, staff pass)
• Any other duties assigned

Requirements

• Min. Diploma/ Degree in any field of study
• Meticulous and proactive attitude
• IT savvy with proficiency in Microsoft Office Skills
• Able to multi-task, work independently and follow through with assigned tasks
• Good communication, presentation and interpersonal skills
• Training provided

Interested applicants, please email your updated CV to [email protected] or WA 91792208 for more information.

Recruiter's Ref Code: #HHM

EA Personnel No: R21103938

EA Personnel Name: Reina Ng Hwee Min

Company Registration Number: Recruit Express Pte Ltd (99C4599)

The QA manages processes and personnel to conduct quality assurance testing. The QA develops effective and efficient methods throughout the QA process, and collaborates with various teams to ensure a high-quality product.

Responsibilities:

· To develop, establish, and enforce quality assurance standards and measures for the course of software development lifecycles

· Works with the end users, Business Analysts (BAs), Designers and Development Team to define/iterate the test coverage plan to ensure the test scenarios and test cases are scalable and sufficient

· Provide testing effort estimation for sprint features.

· Conduct system integration tests with external systems and generate test reports by applying proven analytical / problem-solving skills

· Development and maintain requirement traceability matrix

· Works with end users to ensure complete and thorough execution of UAT

· Coordinates with Development Team to ensure bugs are resolved timely and identifies bug root cause

· Analyses bugs trend and fine tune QA processes to improve overall quality of the product

· Develops and fine tunes QA processes and working agreement with stakeholders through regular retrospectives

· Share the findings/improvements with the team and end users

· Works with Delivery Team to plan, schedule and execute regression for every product release

· Works with end users to prepare acceptance documentation for project sign off.

Requirements:

· Diploma/Bachelor’s degree in relevant disciplines (preferably in Architectural, Civil/Structural or Mechanical Engineering) with minimum 4 years of working experience. Advantage for applicants with:

1) BIM (Building Information Modelling / Management) experience

2) Certifications such as Certified Software Testing Professional or Certified Software Quality Analyst

· Experience in conventional test

· Good technical document writing skills in creating test cases, test scenarios and test steps