Total 929 data entry job vacancies in Hong Kong

About the Role

Drive AI-driven automation and intelligent reporting across Finance and Operations to streamline and automate reporting processes.

This role focuses on reducing manual work, improving reporting speed, and enhancing data accuracy, enabling the business to make faster and better decisions.

This role requires a high level of integrity, as it involves handling sensitive financial data and supporting business-critical decision-making processes.

Key Responsibilities:

1) Reporting & Process Automation (Priority Focus)

• Automate weekly and monthly finance reports
• Eliminate manual Excel consolidation and repetitive tasks
• Develop standardized and scalable reporting templates

2) Data Management & Pipeline Development

• Extract and transform data from ERP and internal systems
• Ensure data accuracy, consistency, and integrity
• Build and maintain structured datasets for reporting and analytics

3) Dashboard & Visualization

• Develop interactive dashboards (e.g. Power BI / Tableau)
• Enable management to access near real-time insights
• Improve visibility of key KPIs (sales, cost, margin, etc.)

4) AI & Advanced Analytics (Progressive Implementation)

• Develop and deploy AI/ML models for:
• Forecasting (sales, cash flow, demand)
• Anomaly detection (cost, production, quality)
• Apply practical AI solutions to enhance automation and decision-making

5) Process Improvement

• Identify inefficiencies in current workflows
• Design automated solutions to improve productivity
• Reduce dependency on manual intervention and key personnel
• Ensure proper data governance, accuracy, and confidentiality in all reporting and automation processes.

6) Collaboration

• Work closely with Finance, Operations, and Production teams
• Translate business requirements into practical technical solutions

7) Other Duties

• Any other tasks as assigned by Top Management

Requirements

• Minimum Diploma or Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence or related field
• Proficiency in Python & SQL programming and foundational knowledge of AI and machine learning frameworks
• Understanding of AI modelling techniques, such as supervised and unsupervised learning, and familiarity with software development practices
• Strong problem-solving abilities with an aptitude for analysing datasets and troubleshooting technical issues
• Hands-on experience in model deployment & end-to-end pipeline
• Experience in at least ONE of forecasting/ time series/ computer vision for manufacturing industry or NLP/ automation.
• At Least 5 years’ experience in data engineering.
• Strong analytical mindset and ability to collaborate effectively in a team environment, with clear communication
• High level of integrity, with strong sense of responsibility in handling sensitive financial and operational data, ensuring accuracy, confidentiality, and ethical use of information.

Perks & Benefits

• Allowance (phone, transportation, etc.)
• Regular team activities
• Personal leave
• Medical coverage
• Personal leave
• Personal development opportunities
• Paid training and development
• Work Laptop and Mobile phone provided
• Insurance for Hospital and Surgical
• Insurance for Personal Accident
• Keyman Insurance
• Annual Increment
• Annual Bonus
• Productivity Incentives

Mengenai Peranan

Memacu automasi dipacu AI dan pelaporan pintar merentasi Kewangan dan Operasi untuk memperkemas dan mengautomasikan proses pelaporan.

Peranan ini memberi tumpuan kepada mengurangkan kerja manual, meningkatkan kelajuan pelaporan dan mempertingkatkan ketepatan data, membolehkan perniagaan membuat keputusan yang lebih pantas dan lebih baik.

Peranan ini memerlukan tahap integriti yang tinggi, kerana ia melibatkan pengendalian data kewangan sensitif dan menyokong proses membuat keputusan penting perniagaan.

Tanggungjawab Utama:

1) Pelaporan & Automasi Proses (Fokus Keutamaan)

• Automasikan laporan kewangan mingguan dan bulanan
• Singkirkan penyatuan Excel manual dan tugasan berulang
• Membangunkan templat pelaporan yang piawai dan boleh diskala

2) Pengurusan Data & Pembangunan Saluran Paip

• Mengekstrak dan mengubah data daripada ERP dan sistem dalaman
• Memastikan ketepatan, konsistensi dan integriti data
• Bina dan selenggara set data berstruktur untuk pelaporan dan analitik

3) Papan Pemuka & Visualisasi

• Membangunkan papan pemuka interaktif (cth. Power BI / Tableau)
• Membolehkan pihak pengurusan mengakses cerapan hampir masa nyata
• Meningkatkan keterlihatan KPI utama (jualan, kos, margin, dll.)

4) AI & Analisis Lanjutan (Pelaksanaan Progresif)

• Membangun dan menggunakan model AI/ML untuk:
• Ramalan (jualan, aliran tunai, permintaan)
• Pengesanan anomali (kos, pengeluaran, kualiti)
• Gunakan penyelesaian AI praktikal untuk meningkatkan automasi dan pembuatan keputusan

5) Penambahbaikan Proses

• Mengenal pasti ketidakcekapan dalam aliran kerja semasa
• Reka bentuk penyelesaian automatik untuk meningkatkan produktiviti
• Kurangkan kebergantungan kepada intervensi manual dan kakitangan penting
• Memastikan tadbir urus, ketepatan dan kerahsiaan data yang betul dalam semua proses pelaporan dan automasi.

6) Kerjasama

• Bekerja rapat dengan pasukan Kewangan, Operasi dan Pengeluaran
• Terjemahkan keperluan perniagaan kepada penyelesaian teknikal yang praktikal

7) Tugas-tugas Lain

• Sebarang tugasan lain yang diberikan oleh Pengurusan Atasan

Keperluan

• Minimum Diploma atau Ijazah Sarjana Muda dalam Sains Komputer, Kejuruteraan, Sains Data, Kecerdasan Buatan atau bidang berkaitan
• Kemahiran dalam pengaturcaraan Python & SQL dan pengetahuan asas tentang kerangka kerja AI dan pembelajaran mesin
• Pemahaman tentang teknik pemodelan AI, seperti pembelajaran yang diselia dan tidak diselia, dan kebiasaan dengan amalan pembangunan perisian
• Kebolehan menyelesaikan masalah yang kuat dengan kebolehan menganalisis set data dan menyelesaikan masalah teknikal
• Pengalaman langsung dalam penggunaan model & saluran paip hujung ke hujung
• Pengalaman dalam sekurang-kurangnya SATU peramalan/siri masa/visi komputer untuk industri pembuatan atau NLP/automasi.
• Sekurang-kurangnya 5 tahun pengalaman dalam kejuruteraan data.
• Pemikiran analitikal yang kuat dan kebolehan untuk bekerjasama secara berkesan dalam persekitaran berpasukan, dengan komunikasi yang jelas
• Tahap integriti yang tinggi, dengan rasa tanggungjawab yang tinggi dalam mengendalikan data kewangan dan operasi yang sensitif, memastikan ketepatan, kerahsiaan dan penggunaan maklumat yang beretika.

Faedah & Kebaikan

• Elaun (telefon, pengangkutan, dll.)
• Aktiviti pasukan tetap
• Cuti peribadi
• Perlindungan perubatan
• Cuti peribadi
• Peluang pembangunan peribadi
• Latihan dan pembangunan berbayar
• Komputer Riba dan Telefon Bimbit Tempat Kerja disediakan
• Insurans untuk Hospital dan Pembedahan
• Insurans untuk Kemalangan Diri
• Insurans Keyman
• Kenaikan Tahunan
• Bonus Tahunan
• Insentif Produktiviti

關於該職位

推動財務和營運部門的人工智慧驅動自動化和智慧報告，以簡化和自動化報告流程。

該職位旨在減少人工操作、提高報告速度和增強數據準確性，從而使企業能夠更快、更好地做出決策。

該職位要求高度誠信，因為它涉及處理敏感的財務數據並支援對業務至關重要的決策過程。

主要職責：

1）報告和流程自動化（優先關注點）

• 自動產生每周和每月財務報告
• 消除手動 Excel 合併和重複性任務
• 開發標準化且可擴展的報告模板

2）資料管理與管道開發

• 從ERP系統和內部系統中提取和轉換數據
• 確保資料的準確性、一致性和完整性
• 建構和維護用於報告和分析的結構化資料集

3）儀錶板和視覺化

• 開發互動式儀表板（例如 Power BI / Tableau）
• 使管理層能夠獲得近乎即時的洞察
• 提高關鍵KPI（銷售額、成本、利潤率等）的可見性

4）人工智慧與進階分析（逐步實施）

• 開發和部署用於以下用途的 AI/ML 模型：
• 預測（銷售、現金流量、需求）
• 異常檢測（成本、產量、品質）
• 應用實用的人工智慧解決方案來增強自動化和決策能力

5）流程改進

• 找出目前工作流程中的低效率之處
• 設計自動化解決方案以提高生產力
• 減少對人工幹預和關鍵人員的依賴
• 確保所有報告和自動化流程中資料治理得當、準確無誤且保密。

6）協作

• 與財務、營運和生產團隊緊密合作
• 將業務需求轉化為切實可行的技術解決方案

7）其他職責

• 高階管理人員指派的其他任何任務

要求

• 計算機科學、工程、數據科學、人工智慧或相關領域的最低文憑或學士學位
• 精通Python和SQL編程，並具備人工智慧和機器學習框架的基礎知識
• 了解人工智慧建模技術，例如監督學習和非監督學習，並熟悉軟體開發實踐。
• 具備較強的解決問題能力，擅長分析資料集與排除技術故障。
• 具備模型部署和端到端流程的實務經驗
• 至少在製造業預測/時間序列/電腦視覺或自然語言處理/自動化領域中的某一方面有經驗。
• 至少5年數據工程經驗。
• 具備較強的分析思考及團隊協作能力，溝通能力清晰。
• 具有高度誠信，對處理敏感的財務和營運數據有強烈的責任感，確保資訊的準確性、保密性和合乎道德的使用。

福利待遇

• 津貼（電話費、交通費等）
• 定期團隊活動
• 個人休假
• 醫療保險
• 個人休假
• 個人發展機會
• 有薪培訓和發展
• 提供工作筆記型電腦和手機
• 住院及手術保險
• 個人意外保險
• 關鍵人保險
• 年度增量
• 年終獎金
• 生產力激勵

Job Title: Data Entry (Logistics)
Location: Singapore
Job Type: Full-Time
Industry: Logistics / Supply Chain

Job Description

We are seeking a detail-oriented and motivated Data Entry Assistant to join our logistics team in Singapore. The ideal candidate will be responsible for accurately entering, updating, and maintaining logistics and shipment data in company systems while ensuring data accuracy and completeness. No prior experience is required, as training will be provided.

This is a great opportunity for fresh graduates or entry-level candidates looking to start a career in accounting within the logistics industry.

Key Responsibilities:

• Perform scanning and digital filing of documents, invoices, and receipts.
• Perform general administrative duties related to accounting and finance.

Requirements:

• Proficient in UBS and Xero accounting software ; no prior experience required - training will be provided.
• Basic knowledge of invoicing is an advantage
• Strong attention to detail and organizational skills
• Good communication and teamwork abilities
• Attention to detail and ability to meet deadlines

Work scope, duties and responsibilities

1. Perform Quality administrative duties including data entry, document management.

2. Coordinate & assist in sorting, filing, and copying documents.

3. Any other duties and responsibilities assigned by the Company from time to time

Working Day/ Time : Tuesday to Saturday, 8.30am to 6pm (5 days)

Roles & Responsibilities

Position: Data Entry Coordinator (Operations)

Location: Singapore 

About the Role: We are seeking a detail-oriented and dedicated Data Entry Coordinator to join our team. The successful candidate will be responsible for accurately inputting, updating, and maintaining operational records, ensuring data integrity and confidentiality at all times.

Key Responsibilities:

• Enter and update information into databases and spreadsheets.

• Verify accuracy of data and correct errors when identified.

• Maintain organized filing systems (digital and physical).

• Ensure compliance with company policies and data protection standards.

• Provide administrative support to other departments when required.

Requirements:

• Strong attention to detail and accuracy.

• Proficiency in Microsoft Office (Outlook, Excel, Word) and data management systems

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

By submitting your personal data and/or resume, you give consent to the collection, use and disclosure of your personal data and/or resume by the company for the purpose of processing and administration by the company relating to this job application.

We regret to inform only shortlisted candidates will be notified.

Job Descriptions:

• Check timecard against Info-tech clocking, enter the time hours, and ensure absent days are not given hours by the supervisors.
• Update and ensure accuracy of infotech database (eg. new join, cancellation, Home Leave records, basic salary, wp expirydates, csoc expiry dates, passport expiry dates & etc).
• Enforce strict controls on advances/loans—record, prepare bank file and recover fully.
• Ensure allowance and deductions are reflected in the payroll.
• Finalize data entries of payroll hours by the 5th; submit bank files by the 6th or latest 7th.
• Resolve bounced payments quickly.
• Finalise cash salary amount and coordinate toget the cash ready by the 8th.
• Keep the HR team & HOD informed of anypayroll queries and respond to workers/ supervisors within 2 working days.
• Submit job costing reports by the 10th.
• Issue payslips by the 14th.
• Check and tally balance of loan to workers against records of Finance Department on a monthly basis.
• Prepare and ensure original vouchers, loan agreements, payslips of cash salary, and etc are signed, returned, and scanned to server.
• Keep track of salary advances and giro transfers in Excel in a timely manner.
• Update and ensure accuracy of the increment excel in a timely manner.
• Prepare for settlement of salary, IR21 tax clearance, salary payment (including bank files for approver) for Home Leave Workers/ Resigned Workers and update in Excel in a timely manner.
• Check and submit yearly Employment Income IR8A.
• Prepare the required documents and respond to queries raised by the Finance auditor.
• Apply for levy waiver.
• Support ad-hoc tasks (e.g., Provide name list and payroll information for top management/ surveys/ policy renewals/submissions).
• Apply for bank accounts and distribute ATM cards in return with workers’ acknowledgements.
• Monitor passport and CSOC expiry dates, arrange timely renewals, and register workers for CSOC classes as needed.
• Maintain petty cash records.
• Reply to WhatsApp messages promptly.

Requirements:

• Available to start immediately.
• Fresh graduates are welcome. We can teach.
• Knowledge with Infotech Payroll & TMS modules is an advantage.
• Detail-oriented, proactive, and patient.
• Consistently having the passion to improve your work procedures and bring up to the team fordiscussion.
• Problem-solving and flexible thinking.
• Clear communication across all levels.
• Responsible team player—plan leave to avoid payroll timelines.

Job Description:

• Data entry for Finance Department
• 3 days per week
• Working Hours - 0800 - 1730

Requirements:

• Computer Literate
• Training will be provided

Work scope, duties and responsibilities

1. Perform Quality administrative duties including data entry, document management.

2. Coordinate & assist in sorting, filing, and copying documents.

3. Any other duties and responsibilities assigned by the Company from time to time

Working Day/ Time : Tuesday to Saturday, 8.30am to 6pm (5 days)

Job Description

• Handle admin duties

• Data entry

• Filing and scanning of documents

• Prepare invoices and quotations

• Other duties as assigned

Topaz Liang Huimin

CEI Registration No: R1104500

Email: west1@recruitexpress.com.sg

Recruit Express Pte Ltd (EA: 99C4599)

• Working hrs: Mon - Fri, 8am - 5pm
• Location: Ubi (Nearest MRT: Macpherson)
• Salary: Up to $3k
• Start from 3-month contract, convertible based on performance & business needs

Job Descriptions

• Assist in helping enter data for the PO/DO/Invoice (for the sales support/customer service function)
• Start with 3-month contract, convertible to perm based on performance & business needs
• Experience in electronics manufacturing environment is advantage

Requirements

• Admin/ Data entry experience
• Proficient in Microsoft office & computer literate
• Experience in sales support/customer service functions is advantage

HOW TO APPLY:

Interested applicants, kindly click on “APPLY NOW” or send your resume in MS WORD format to hestia.wong(at)trustrecruit.com.sg

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Wong Ying Huan (Hestia)

EA Personnel Reg No: R24122431

Purpose of Role:

Assist in the development of ILS deliverables for ILS programmes that meets customer requirements efficiently and on time.

Responsibilities:

• Responsible for data entry and document assembly or extraction.
• Creating and populating data into templates for codification
• Processing and doing MMD data entry into software system • May be required occasionally to be at external site to assist for coordination of delivery of items to store
• May be required occasionally to be at external site for coordination of training
• Occasional lifting and carrying of documents or parts is required.

Requirements:

• Good proficiency in MS Office Suite
• Experience in Document Control for engineering projects will be advantageous
• Good written, verbal communication skills in English is required
• Able to interact effectively with all levels of staff both internally and externally
• Able to work independently
• Willing to commit to 2 years contract

Additional Information:

• Location: 16 Benoi Road (Island-wide transport provided)
• 5 days work week
• Working Hours: 7.25am to 5.00pm

• Strong Learning & Career Growth Opportunities
• Opportunity to work with large-scale/real-time data

About Our Client

The hiring organisation is a well-established company within the technology and telecoms sector, known for its innovative solutions and commitment to excellence. They operate on a global scale and are dedicated to fostering a collaborative and forward-thinking environment.

Job Description

• Develop and maintain scalable and efficient data pipelines and workflows.
• Collaborate with cross-functional teams to identify and address data requirements.
• Optimise data architecture to ensure performance and reliability of systems.
• Monitor and troubleshoot data infrastructure to ensure smooth operations.
• Implement data security and governance best practices.
• Support data integration from various sources to drive business insights.
• Create and maintain technical documentation for data solutions.
• Stay updated on emerging trends and technologies in the technology industry.

The Successful Applicant

A successful Data Engineer should have:

• A strong educational background in a relevant technical field.
• Proficiency in data engineering tools and programming languages.
• Experience with database management systems and data modelling.
• Knowledge of cloud-based data platforms and solutions.
• Excellent problem-solving skills and attention to detail.
• The ability to work effectively in a team-oriented environment.

What's on Offer

• Opportunity to work on meaningful projects in the technology industry.
• Exposure to a collaborative and innovative work culture.
• Temporary role offering flexibility and career development.

If you are passionate about data engineering and eager to contribute to a leading organisation, we encourage you to apply today

Contact

Meenal Sharma (Lic No: R21103442/ EA no: 18C9065)

Quote job ref

JN-062026-7039991

Phone number

+65 6643 9741

Michael Page International Pte Ltd | Registration No. 199804751N   

Job Description: Data Engineer

As a Data Engineer 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, Industrial Engineering, or a related field.
• Experience:
  Strong analytical skills with a minimum of 3 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.

Please ensure your profile on the portal is updated with your job experience and education as these fields are being used for the purpose of filtering and shortlisting.

DBiz is looking for a Data and Artificial Intelligence Scientist to join our team in designing and developing reusable, scalable, and cost-effective cloud-native data and AI products. You will also be actively involved in various consulting project deliveries, supporting clients with data and AI solutions tailored to their business needs. The role offers opportunities to participate in multiple projects with industry technology partners, developing data- and AI-driven products and services that have a significant positive impact.

You will also be actively involved in various consulting project deliveries, supporting clients with data and AI solutions tailored to their business needs

Primary Responsibilities

• Collaborate with product owners, engineering teams, and industry partners throughout the product development lifecycle, including concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, and product end-of-life
• Conduct technical assessments on the maturity, viability, and suitability of AI research, technologies, and trends relevant to the industry
• Develop and deploy software components based on microservices architecture
• Participate in agile, secure software development processes and best practices, including documentation of user requirements and software code during the software development lifecycle
• Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity, and operational costs are met

Key Requirements

• Bachelor’s degree in engineering, computer engineering, computer science, mathematics, statistics, or equivalent
• At least 1.5 years of working experience in a relevant field
• Strong technical knowledge in AI.
• Good understanding of the latest research and technologies in AI for production deployment
• Strong coding experience in programming languages such as Python and/or C++.
• Experience working with libraries for data manipulation, visualization, machine learning, and reporting
• Hands-on experience with one or more deep learning frameworks (e.g., TensorFlow, Torch)
• Experience with prompt engineering for models such as OpenAI and Clau
• Hands-on experience developing and deploying AI agents, Retrieval-Augmented Generation (RAG), and vector/graph databases
• Experience with algorithms for mesh manipulation, Boolean operations, and geometric transformation
• Proficiency in relevant 3D modeling or CAD software (e.g., Blender, Rivet) and/or programming libraries (e.g., OpenGL, CGAL, Three.js)
• Team player with the ability to work in a cross-functional team and excellent interpersonal skills
• Strong verbal and written communication skills, as well as strong presentation and engagement abilities