Total 368 data entry job vacancies in D22 Jurong, Jurong Island, Tuas

Why Join Us?

• 5 days work week
• Attractive Newcomer Bonus
• Career Progression & Development Opportunities
• Opportunity to Work Alongside an Innovative Team
• Comprehensive Leave Packages (e.g: additional leave, birthday leave, eldercare leave, marriage leave & gift, etc...)
• Annual Executive Health Screening

Responsibilities & Duties:

• Execute 3-way matching of invoices, purchase orders, and receiving documents to ensure accuracy and compliance
• Verify supplier invoice quantity, unit rate and system data entry integrity
• Filing, administrative and any other ad hoc duties assigned by superior

Requirements & Qualifications:

• Minimum GCE ‘O’ level qualification
• Proficient in MS Excel, MS Word
• Proficient in ACCPAC sage system is an added advantage
• A good team player with initiative and sense of responsibility

Data Entry Administrator

1) Creation and maintenance of Parts, Supplier Details and all other relevant information for the Department

2) Maintaining records of invoices and payment details in the System

3) Assist in generating reports and extracting data as needed for different business needs

4) Assist in creating Purchase Orders and/or Purchase requests and maintaining a proper document control register for the Department

5) Maintain confidentiality and adhere to data protection policies while handling sensitive information

6) Collaborate with team members to ensure timely and accurate completion of data entry tasks

7) Maintain confidentiality and adhere to data protection policies while handling sensitive information

8) Providing administrative and clerical support which includes but not limited to scanning, filling, photocopying, faxing, answering phone calls

9) Ensure compliance to policies and procedures when performing day to day activities.

10) Undertake Ad-hoc tasks & duties assigned by the Office Manager

Requirements

- Diploma or equivalent

- Must be Proficient with MS Office

- Strong organizational and time management skills to prioritize tasks

- Strong attention to detail and ability to identify errors

- Proactive, takes initiative and well organised

- Quickbooks (QBO) and/or SAP knowledge is an advantage

- Able to work independently with the ability to multi task

Job Description:

• Basic Accounting (E.g. bookkeeping, data key-in, etc.)
• Receive delivery order from client and update job instruction into company in-house system
• Provide general administrative duties (E.g. scanning, printing, filing of document, quotation, accounts related document, paper work & etc)
• Support general office operation
• Vendor sourcing and procurement
• Monitor shipment of order
• Ad-hoc duties from manager

Requirements:

• Minimum GCE 'N' Level
• 1 year admin clerk experience preferred
• Meticulous and good eye for detail
• Pleasant disposition and customer-service oriented
• Able to competantly speak Mandarin
• Able to commit to some over time
• 5.5 days week

Workplace: Keppel Distripark Warehouse

Blk 519 Kampong Bahru Road #02-108 S(099453) Keppel Distripark

Mon - Fri: 8.30am to 6.15pm

• Perform daily data entry duties and depot operations activities.

• Maintain, update and ensure accuracy of daily movement report.

• Raise estimates of repair of containers for clients.

• Attend & respond promptly to customers’ orders & enquiries.

• Other ad-hoc duties as assigned by superior.

Position Summary:

This role serves as a data evangelist, focusing primarily on Data & ML Engineering with a robust understanding of Data Science and data analysis experience. The ideal candidate will be proficient in the Snowflake and Azure technology stacks, Qlik Visualization, DevOps processes, and ML ops processes. While knowledge of logistics is a plus, a willingness to learn the domain is essential.

Roles & Responsibility

• Build and manage Data & ML Engineering projects.
• Develop and maintain data/ML pipelines using Snowflake and Azure.
• Create and implement data visualizations using Qlik.
• Ensure seamless integration and deployment of models through DevOps and ML ops processes.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Advocate for data-driven decision-making across the organization.
• Promote data literacy across the BU.

Qualifications

• Minimum of 3+ years of end-to-end implementation experience in data warehouse and data management projects. Freshers from reputed institues in the field of data science with quick grasping knowledge will be considered.
• Extensive hands-on experience architecting and delivering solutions on the Azure Data platform, Snowflake, SnowPark, ML Ops and DevOps
• Logistics, and Transportation domain experience, as well as its associated data standards, is preferred.
• Agile/DAMA/Azure certification is a plus
• Experience in engaging both technical and non-technical stakeholders with a proactive and positive attitude.
• Strong personal effectiveness as a team player, change agent and demonstrated perseverance to drive and achieve desired outcomes.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Strong communications skills.

Job Description: Data Analyst

As a Data Analyst at D-SIMLAB Technologies, you will play a key role in deriving insights from large datasets to optimize semiconductor manufacturing processes. This role focuses on data extraction, analysis, and actionable insights, while collaborating with cross-functional teams to develop and deploy D-SIMLAB’s software products as well as provide professional consultation services to our clients. The ideal candidate is someone who excels in data-driven analysis and is eager to work on high-impact projects in the semiconductor industry.

Key Responsibilities:

• Data Extraction and Analysis:
  Collect, clean, and analyze large datasets from semiconductor manufacturing environments to ensure data consistency, completeness, and correctness.
  Use statistical methods and data mining techniques to identify patterns, trends, and anomalies that impact production performance.
• Performance Evaluation:
  Analyze the gap between planned and actual production outcomes. Identify root causes for performance deviations and recommend data-driven strategies for process improvement. Develop reports and visualizations to present findings to clients and internal stakeholders.
• Data-Driven Insights:
  Provide actionable insights based on data analysis to optimize semiconductor manufacturing processes. Work closely with clients to understand their specific needs and translate data findings into operational and strategic improvements.
• ETL and Data Modeling:
  Build and maintain ETL processes to integrate data from various sources into D-SIMLAB’s data models. Collaborate with simulation modeling teams to ensure accurate and reliable data is fed into models.
• Consultation Services:
  Act as a trusted advisor to clients by offering data-driven recommendations for enhancing their production efficiency. Present analyses and proposals to both technical and non-technical stakeholders, ensuring clarity and actionable takeaways.
• Data Visualization and Reporting:
  Create dashboards and reports using advanced data visualization tools to communicate key insights and trends effectively. Continuously improve reporting mechanisms to provide real-time insights and support ongoing optimization efforts.
• Collaboration with Teams:
  Work with Software Engineers, Data Scientists, and other cross-functional teams to ensure that data insights align with product goals and customer needs. Contribute to product enhancement initiatives, focusing on the improvement of data-related components and analytics.

Candidate Requirements:

• Education:
  Bachelor’s/Master’s degree in Data Science, Computer Science, Industrial Engineering, or a related field.
• Experience:
  Strong analytical skills with a minimum of 2 years of experience in data analysis, preferably in an industrial environment. Semiconductor experience is a plus.
• Technical Skills:
  Proficiency in SQL and Microsoft Excel.
  Experience with data visualization tools (e.g., Power BI, Tableau) is highly desirable.
  Experience with ETL processes and database management.
• Analytical Abilities:
  Strong problem-solving skills and the ability to handle large datasets and deliver actionable insights to improve operational performance.
• Soft Skills:
  Ability to work collaboratively in a multicultural, multidisciplinary team.
  Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Willingness to Travel:
  Willing to travel for international projects and collaborate closely with clients and internal teams.

JOB DESCRIPTION

• Define key metrics for governance to ensure compliance with data-related policies, standards, roles, and responsibilities
• Drive Data Governance and Management on an on-going basis through being the chair to the Data Governance Council
• Responsible for defining data policies and standards, managing stakeholder communication and progress reporting to leadership and executives
• Manage and coordinate all key issues and escalations around data governance
• Work closely with Data BP's s to build their engagement and stewardship of data assets
• Collaborate with our Cybersecurity and technology operations teams to implement data governance standards and best practices to improve the quality of data
• Leverage deep experience in the implementation of data governance solutions in such areas as: data quality, data lineage, data glossary, data security management, metadata management, and advanced data analysis solutions
• Write data governance policies, oversee the adoption of data governance efforts, and partner with the legal and information security teams to fulfill Keppel's commitments related to reducing Data Management risks

JOB REQUIREMENTS

• An excellent communicator who can drive the process to govern data at enterprise scale as the role requires close collaboration with senior-level executives (members of DG Councils/C-Suite), business data owners, and stewards
• At least 10+ years of experience in a leadership role related to data
• At least 5 years of experience either in leading a data governance function or being part of a team that managed large-scale data governance initiatives; with expertise in data governance, data quality industry best practices and framework

JOB DESCRIPTION

• Define key metrics for governance to ensure compliance with data-related policies, standards, roles, and responsibilities
• Drive Data Governance and Management on an on-going basis through being the chair to the Data Governance Council
• Responsible for defining data policies and standards, managing stakeholder communication and progress reporting to leadership and executives
• Manage and coordinate all key issues and escalations around data governance
• Work closely with Data BP's s to build their engagement and stewardship of data assets
• Collaborate with our Cybersecurity and technology operations teams to implement data governance standards and best practices to improve the quality of data
• Leverage deep experience in the implementation of data governance solutions in such areas as: data quality, data lineage, data glossary, data security management, metadata management, and advanced data analysis solutions
• Write data governance policies, oversee the adoption of data governance efforts, and partner with the legal and information security teams to fulfill Keppel's commitments related to reducing Data Management risks

JOB REQUIREMENTS

• An excellent communicator who can drive the process to govern data at enterprise scale as the role requires close collaboration with senior-level executives (members of DG Councils/C-Suite), business data owners, and stewards
• At least 10+ years of experience in a leadership role related to data
• At least 5 years of experience either in leading a data governance function or being part of a team that managed large-scale data governance initiatives; with expertise in data governance, data quality industry best practices and framework

Business Understanding

At least (3) years of relevant experience in:

• Business Requirement Analysis
• Business Process and System Understanding
• Effective Communication with both business and technical users

Azure Data Engineering

At least (2) years of hands-on experience as Azure Data Engineer using:

• Azure Data Factory
• Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;

Data Ingestion & Modelling

At least (3) years of hands-on experience in

• Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
• Implementing Data Quality validation
• Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience

Others

Conversant in Microsoft Office products

Business Understanding

At least (3) years of relevant experience in:

• Business Requirement Analysis
• Business Process and System Understanding
• Effective Communication with both business and technical users

Azure Data Engineering

At least (2) years of hands-on experience as Azure Data Engineer using:

• Azure Data Factory
• Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;

Data Ingestion & Modelling

At least (3) years of hands-on experience in

• Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
• Implementing Data Quality validation
• Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience

Others

Conversant in Microsoft Office products

• Good Base+great benefits!
• Experienced in leading a team, familiar with building CI/CD data pipelines, Git/Docker, Sparks/Hadoop etc
• Great environment to work in!
• Opportunity to work w/ different projects!
• Leading IT Company+friendly & diverse culture!

Our client is one of the leading Technology organisation

Responsibilities:

• Translate data requirements from business users into technical specifications.
• Collaborate with stakeholder’s IT teams on technology stack, infrastructure and security alignment.
• Build out data product as part of a data team
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
• Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;
• Construct, test, and update useful and reusable data models based on data needs of end users.
• Design and build secure mechanisms for end users and systems to access data in data warehouse.
• Research, propose and develop new technologies and processes to improve agency data infrastructure.
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.
• Maintain data catalogue to document data assets, metadata and lineage.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement and enforce data security best practices, including access control, encryption and data masking, to safeguard sensitive data.

Requirements:

• Bachelor in Computer Science, Information Technology, Software Engineering disciplines are preferred
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.
• Experience in architecting data and IT systems.
• Experience with orchestration frameworks such as Airflow, Azure Data Factory.
• Experience with distributed data technologies such as Spark, Hadoop.
• Proficiency in programming languages such as Python, Java, or Scala.
• Proficiency in writing SQL for databases
• Familiarity with building and using CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, Terraform

Other Information:

• Working Hours: Mon-Fri, 9am-6pm, flexible work hours/hybrid work arrangement & WFH)
• Location: Near Buona Vista MRT

To apply please click on the LOGIN TO APPLY button with the following details inside your resume for faster processing:

• Reason for leaving
• Last drawn Salary
• Expected Salary
• Earliest availability date

We regret only shortlisted candidates will be notified. By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Jiang Yiang Dong

EA License | 14C7092

EA Registration Number | R1105012

⏲️Mon-Friday Office Hours

We are looking for Business Data Analyst to join one of the government agency!

• Be part of the team to handle government project
• Great working environment and career exposure (Agile, Cloud, Design Thinking, Data Analytics)
• Attractive salary package & employment benefits (up to 24 days leave, medical insurance etc)

Responsibilities:

• Partner with the Government Agency’s business teams to elicit citizen/business needs through human-centric, visual methods such as service journeys and develop the appropriate business case
• Apply Design Thinking / Service Design methodology and tools to develop and execute the approach to derive current state gaps and challenges, and future state design and solutions
• Work with the Agency's project teams to develop user stories, functional/technical specifications and acceptance criteria
• Adopt best practices in data governance, perform data cleansing, pre-processing and feature engineering that facilitate meaningful analysis
• Design interactive visualisation dashboards for data exploration and provide insights to Agency’s business teams
• Evaluate and recommend suitable technology while aligning with Government’s technology directions (such as cloud-based, enterprise architecture and modernization of legacy systems, adoption of SG Tech Stack)
• Identify and adopt the appropriate development methodology (e.g. Agile or Waterfall) in an Outsourced, Co-Sourced or In-house development environment
• Ensure system or product readiness for smooth deployment, adoption and operations
• Analyse impact of requested changes and propose improvements to continuously address changing business needs, and work with support team to understand and address technical problems (Operations & Maintenance phase)

Requirements:

• Singaporean Only
• Min 4 years of experience in business analytics, application solutioning design and testing
• Experience with one of the following: Agile (Scrum/Kanban), Cloud (AWS/Azure), Design Thinking, Data Analytics
• Data manipulation using scripting languages like Python or using ETL tools Visual analytics technologies like Tableau, Power BI End-to-end analytics architecture, preferably with some working knowledge of big data stack

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Liew Chien Hui (Vivian) | R2090138

ScienTec Consulting Pte Ltd | 11C5781

We are looking to appoint a full-time Project Officer at the School of Humanities in Nanyang Technological University (NTU).

The incumbent will join the Linguistics and Multilingual Studies (LMS) Department working on a project titled ‘Performance-interpretability Tradeoff in Discourse Research’ led by Professor Dennis Tay. The position is a fixed term post for 17 months.

About the Project

The performance-interpretability tradeoff (PIT) in data science and AI refers to the balance between how well a statistical/machine learning model performs, and how readily humans can comprehend it. This project investigates the nature and characteristics of PIT in discourse research, focusing on the following:

i) the (strategically) indeterminate nature of PIT

ii) PIT in time-based algorithms and discourses

iii) conceptual relationship(s) between PIT and ‘mixed-methods’ discourse research, with subsequent developments based on emergent findings.

Discourse datasets to be investigated include psychological counseling, social media, academic lectures, and other relevant time-based contexts, while time-based algorithms include LSTM, ARIMA time series, and survival regression models. The project also aims to design and develop relevant pedagogical resources aimed at students and the general public.

Key Responsibilities:

• Assist in sourcing and collecting language and discourse datasets across different domains
• Assist in pre-processing discourse data for analysis
• Assist in preparation of research output, pedagogical resources, and/or other project-related deliverables

Job Requirements:

• Good Bachelor’s degree in linguistics, language studies, data science, or related fields
• Strong verbal and written communication skills
• Working knowledge of Natural Language Processing and Python / R is an advantage

Interested applicants may apply with submission of the Curriculum Vitae.

We regret to inform that only shortlisted candidates will be notified.

The Nanyang Business School (NBS) is recruiting a Research Scientist in the area of data protection law and data privacy.

Key Responsibilities:

• Assist in primary legal research on databases such as Lexis-Nexis, HeinOnline etc
• Collate research materials found, inclusive of preparing summaries of research materials which involves reading and drafting written summaries of regulatory materials, legal judgments, and secondary materials
• Formulation and development of data governance structures and frameworks
• Other research administrative tasks

Job Requirements:

• Master in Law with extensive experience in research and/or in data protection law
• Strong communication and interpersonal skills
• Organised and meticulous
• Capable of following instructions meticulously

We regret to inform that only shortlisted candidates will be notified.