Total 18 Junior Executive data entry job vacancies in d23 hillview dairy farm bukit panjang choa chu kang

Hall of Goods Pte Ltd is a distributor and reseller of lifestyle brands from around the world. While our company is based in Singapore, our brands are distributed and sold in many parts of Asia. We pride ourselves in being a true partner to the brand owners because we believe that it is equally as important to grow the equity of the brands we carry as it is to increase penetration and sales of their products in Asia.

Hall of Goods Pte Ltd invests in grooming our people as well as building strong partnerships with our suppliers and agencies. In that way, we create an eco-system that enables us to grow more effectively and efficiently.

While our structure is lean, we constantly look for talent that has the same values and principles as we do but can add new perspective at the same time. The values at Hall of Goods are simple.

1. Don’t be afraid to learn new things

2. Make sure everything you is done because you believe it has real value to the consumer and to the business

Roles & Responsibilities

Data entry and administrative assistant role

Responsibilities include consolidating and entering data from sales statements and providing administrative support to ensure efficient operations in the Company.

Job Responsibilities:

· Answer all enquiries via social media, phone call

· Entering of data entry, preparation and generating of invoices

· Assist with Management on any ad-hoc duties

. Flexible Working hours: 9am to 5pm. Minimum 3 working days a week. Working days can be discussed further

Job Requirement:

1. Minimum GCE ‘O’ Levels with working experience

2. Experience in data entry would be an advantage

3. Proficient in Microsoft Office

4. Good interpersonal and communication skills

5. Diligent, organised, self-driven, resourceful and fast learner

Responsibilities

• Relocate and replace parts for servers like mainboards, CPU and others
• Deliver IT parts to clients if needed
• Provide level 1 support for hardware and software installation, troubleshooting, and maintenance for internal teams.
• Performing & maintaining IT inventory list

Requirements

• Passion and high sense of responsibility for work.
• Possess Class 3 license
• Physcially fit (sometimes would need to relocate and replace server)
• Training will be provided

If you are interested, kindly apply through mycareersfuture.

I regret to share that only shortlisted candidates will be notified.

www.dadaconsultants.com

EA Registration Number: R21100604

Data provided is for recruitment purposes only

Business Registration Number: 201735941W.

Licence Number: 18S9037

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc. Prof. Li Cheng on scalable Bayesian Gaussian process modeling for spatiotemporal data under a project on “Enhancing Scalability of Bayesian Gaussian Process Models”.

The main responsibilities of the position include:
- literature review on the statistical methodology of modeling non-Gaussian data;
- developing new Bayesian Gaussian process based models and scalable computational algorithms for non-Gaussian spatial and spatiotemporal data;
- coding and conducting numerical experiments related to the main topic.

Qualifications

• Qualifications / Discipline:
Recognised Bachelor / Master degree in Mathematics, Statistics, Data Science and related fields.

• Skills:
- Familiar with the methodology and computation of Gaussian processes;
- Strong programming skills in R, Rcpp, or Julia.

• Experience:
Nil

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

We are seeking a part time staff who can assist in data creation, evaluating the collected data’s reliability, validity, and accuracy and improving the data quality.

Duties & Responsibilities

• Assisting with translation and data creation in Burmese language so proficiency in Burmese is a must.
• Evaluating the collected data’s reliability, validity and accuracy
• Verifying data by cross-checking with other sources
• Making recommendations for improving data quality

Qualifications

• Proficiency in Burmese as well as knowledge in Burmese culture due to usage of Burmese language for data collection and creation.
• Able to commit to the project for 6 months
• A Bachelor’s degree in any discipline

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator, Prof Umang Mathur and lab members. He/she should possess experience or interest in the research area of building and optimizing an automata counter.

Qualifications

• Bachelor's or master's degree in computer science. Relevant research experiences would be a plus.
• Programming in C/C++ and Rust. Evaluation on benchmarks.
• Ability to read and understand methodologies in research papers.
• Good written and verbal communication skills

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Statistics and Data Science is seeking a dynamic and versatile Research Assistant who can act as Data Operations Specialist, AI Innovator, and Cloud Architect to play a pivotal role in the Department's digital transformation in education, research infrastructure and administration.

In addition to architecting and managing cloud resources, the selected candidate will be responsible for creating synthetic and sourcing for real-world data, repository management, optimising departmental procedures, and developing complex Large Language Models (LLMs) to enhance data access, summarisation, and search capabilities. This multifaceted role offers a unique opportunity to drive innovation and efficiency across our initiatives in education, research and administration.

Qualifications

• A bachelor’s degree in computer science, mathematics, statistics, or a related field.
• Proficiency in SQL and Python.
• Knowledge of Big Data frameworks.
• Strong analytical skills and hands-on experience with BI tools, including data visualization platforms like Tableau or PowerBI.
• Experience with cloud technologies such as AWS, Azure, or Google Cloud.
• Exceptional communication and teamwork skills for effective collaboration with cross-functional teams and stakeholders.
• Robust analytical and problem-solving abilities to tackle complex architectural challenges.
• Basic project management skills to manage timelines, budgets, and resources efficiently.
• A passion for Machine Learning, especially in the context of Large Language Models like ChatGPT.
• Possession of relevant cloud certifications and experience with DevOps/MLOps practices would be considered an advantage.

Working Location: Central

Working hours: 10am to 6pm (Monday to Friday)

Your role:

• Assist with day to day operations of the HR functions and duties
• Use suitable techniques for recruiting
• Coordinate HR projects (meetings, training, surveys etc) and take minutes
• Responsible for the whole recruiting phase
• Assigning the best candidates to various roles
• Plan and organize job fairs to help boost company brand among candidates
• Conduct career advisory workshops/seminars to help job seekers understand the job market better
• Assist with any other HR administrative tasks

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Working Location: Central

Working hours: 10am to 6pm (Monday to Friday)

Your role:

• Organize office and assist associates in ways that optimize procedures
• Sort and distribute communications in a timely manner
• Create and update records ensuring accuracy and validity of information
• Schedule and plan meetings and appointments
• Monitor level of supplies and handle shortages
• Resolve office-related malfunctions and respond to requests or issues
• Coordinate with other departments to ensure compliance with established policies
• Maintain trusting relationships with suppliers, customers and colleagues
• Perform receptionist duties when needed

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Working Location: Central

Working hours: 10am to 6pm (Monday to Friday)

Your role:

• Manage daily schedules for senior management and other staff members, including scheduling meetings, conferences, and other events
• Prepare and edit documents and reports for senior management
• Respond to inquiries from internal and external contacts
• Maintain filing systems and databases
• Develop and implement processes and procedures to improve administrative operations
• Coordinate travel arrangements and logistics for business trips
• Monitor budgets and expenditures

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Position

In a challenging and multicultural environment, we are looking for a Junior Data Analyst for our Data & Analytics team within Digital Excellance Center (DEC) department.

This is an exciting opportunity for a talented team-player to be part of a technology team that is responsible of a portfolio of solutions for various business lines of the bank (Risk, Finance, Compliance, Market Risk, Trade Finance, Operations, Advanced analytics tools evaluations).

Main responsibilities

• As a Junior Data Analyst, you will work with AI Factory development team – who is building ML, NLP based algorithms to derive information from unstructured text, digital documents, scanned documents, web-sites, etc.
• You contribute to the development of transversal projects, improvement of capabilities of the team and promote AI based application development. The scope of responsibilities includes:
• Work closely with data scientist / data engineers on data retrival, collection, cleasing and annotation
• Utlize coding languages (Pythin, SQL, etc.) to build statistical patterns and analysis on given data and communicate them effectively
• Develop new or maintaining existing data processing pipelines
• Help team to make data-driven decisions and present data in understandable ways
• Working closely with internal stakeholders / cross functional teams
• Other relevant duties as assigned

Qualifications and Profile

• A Bachelor’s or Post graduate degree from a recognized university.
• Proficient of software development experience in programming languages such as Python / Java / Node.
• Strong background in mathematics and statistics
• Experience with data science / machine learning development tools such as Scikit-learn, Pandas, NumPy, NLTK, spaCy, TensorFlow, OpenCV, etc.
• Experience with NLP technologies, handling of unstructured text data, image processing (OCR) and web-scraping – is a value addition.
• Experience in databases such as MySQL, MongoDB or Redis graph.
• Intellectual curiosity and interest in finding new ways to do things, combined with outstanding written and verbal communication skills.
• Adaptable to changing business needs, strong sense of ownership and drive for customer focus and ability to collaborate effectively with IT managers, senior stakeholders to gather requirements and manage scope.
• Strong desire to keep abreast of emerging technologies
• Team player mindset
• Understanding and respect of cultural diversity

Ace at Work is an education service provider for children. We are looking for a responsible entry-level Accounts Assistant.

Job Highlights

• Friendly Company Culture
• Work-Life Balance
• Support to Pursue of Professional Development and Career Advancement

Job Description

- Update daily collection of fees into Microsoft Excel

- Check Giro and subsidy reports monthly

- Update Giro forms submission into the system

- Prepare payment vouchers and post in MYOB

- Other ad-hoc admin jobs

Working Hours

• 9 am - 5 pm (Good work-life balance)
• Monday to Friday
• Dress Code: Casual

Job Requirements

• Applicants should minimally hold LCCI, Diploma in Accounting or equivalent
• Must be competent in Microsoft Office
• Positive attitude

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the Department of Statistics and Data Science.

Qualifications

• A PhD in statistics or a related field is required.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the Department of Statistics and Data Science.

Qualifications

• A PhD in statistics or a related field is required.

• Food Manufacturer
• Basic $2500
• 5 days (Office Hours)
• Location: Pandan Loop

Responsibilities (Entry Level):

• Performs day-to-day broad range of HR activities including recruitment from on-boarding to off-boarding, leave administration, payroll, benefit & training administration.
• Handle NSmen make-up claim, paternity, maternity, childcare leave, medical & insurance claims.
• Administer work pass applications, cancellation and renewal.
• Administration of training related matters.
• Maintain accurate HR database and up-to-date employee records.
• Ensure up to date maintenance of all training procedures and records in accordance to ISO requirement and government legislation.
• Generates and maintain regular HR reports as required.
• Perform other ad-hoc projects or duties when required.

Requirements:

• Preferably with Diploma in Human Resource or Business.
• With experience in HR process will be added advantage.
• Open to candidates with no experience as well.
• Well verse in Microsoft office (Words, Excel and PowerPoint)

For consideration, kindly submit your CV by clicking “APPLY Now.”

**Only shortlisted candidate would be notified**

EA Reg. No: R1873990 | Lucky Lee Ding Cong

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the Department of Statistics and Data Science.

Qualifications

• A PhD in statistics or a related field is required.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the Department of Statistics and Data Science.

Qualifications

• A PhD in statistics or a related field is required.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

Research Assistant

The research officer will serve as the crucial link between the study and its participants, and be in charge of recruiting and interviewing participants for the study.

• Contribute in preparing data for analysis
• Understand the context of the research, organize and process complex data
• Create a set of codes or labels that recognize patterns and connections within the data
• Develop guide or codebook that documents the definitions and criteria for each code
• Continuously comparing data to refine and modify codes as the analysis progresses
• Contribute in preparing interview questions
• Innovate to improve processes within the study, particularly in recruitment and data collection
• Contribute in preparing findings for dissemination in multiple formats (e.g., powerpoint, infographics, video)
• Work collaboratively with other researchers or team members involved in the research project

Research Associate / Fellow

The Research Associate/ Fellow will perform a crucial role in managing the data-related tasks in the study.

• Provide leadership and expertise in the development and implementation of Research Data Management
• Oversee the data preparation progress, develop data coding protocols, and ensure data quality
• Conduct data analysis and communicate findings to stakeholders
• Prepare research reports and publications
• Undertake administrative tasks related to the research project
• Participate in research-related activities (seminars, workshops, etc.)
• Work collaboratively with other researchers or team members involved in the research project

Qualifications

Research Assistant

Minimum Education Qualification: A Bachelor’s degree and above in relevant areas

• Able to communicate effectively and build rapport with individuals from different backgrounds
• Able to work independently and autonomously with participants in recruitment and interviews
• Dynamic, resourceful, and able to work independently but also as a team.
• Proficiency in MS Office (particularly in Excel and Powerpoint)

Research Associate / Fellow

Research Associate- Minimum Education Qualification: A Master’s degree in relevant areas, degree by research or at least two years’ experience in large scale research projects

Research Fellow- Minimum Education Qualification: A PhD’s degree in relevant areas, degree by research or at least two years’ experience in large scale research projects

• Proficient in data-related tasks
• Excellent scientific writing skills
• Excellent in quantitative research methods (such as SEM) and proficient in the use of SPSS or other software such as R, Mplus, Stata.
• Excellent work planning and time management skills
• Excellent problem-solving skills
• Able to multi-task and work under pressure in a changing environment
• Good communication skills (e.g. inter-personal skills, ability to present findings to different stakeholders)
• Strong interest in research in the forensic and rehabilitation field
• Self-motivated: Able to work well both independently and as a member of a team
• Passion for high-impact research

Applicants are expected to address all requirements and job responsibilities.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Somabha Mukherjee on Causal Network Inference under a project on Statistical Inference for Network-Dependent Data: High-Dimensional Feature Selection & Inference in Higher Order Markov Random Fields.

The main responsibilities of the position include:
Running simulations, doing real data analysis, and proving theoretical guarantees for causal network recovery algorithms.

Qualifications

• Qualifications / Discipline: Statistics and Data Science/ Related Field Master.

• Skills: Coding with Python/R; familiarity with basic theoretical statistical tools and techniques.

• Experience: Advanced bachelor/master student