What Jobs are available for Data Quality in Hong Kong?

About the Role

We are looking for a detail-oriented
Data Quality & Transformation Analyst
to ensure the accuracy, consistency, and readiness of our global analytics data. You will assess data quality, design and implement the required transformations, and collaborate closely with our global analytics and engineering teams.

Key Responsibilities

• Assess and monitor the quality of incoming data across multiple sources.
• Define, document, and implement data transformation rules to make data available for global consumption.
• Work with stakeholders to identify data gaps, anomalies, and areas for process improvement.
• Develop and maintain transformation pipelines in
  DBT
  and manage version control in
  GitHub
  .
• Leverage
  Google BigQuery
  and
  GA4
  data to support analytics and reporting requirements.
• Partner with engineering and analytics teams to ensure data standards and governance are met.

Qualifications & Skills

• 2 - 5 years
  of experience in data engineering, analytics, or data quality management.
• Hands-on experience with
  Google BigQuery
  and
  GA4 (Google Analytics 4)
  .
• Proven experience with
  DBT
  (data build tool) and GitHub for version control.
• Strong understanding of data modelling, transformation pipelines, and SQL.
• Excellent problem-solving skills and attention to detail.
• Effective communicator who can collaborate with global teams.

What we offer

Keyrus
offers a working environment and projects that attract the best people working in business intelligence, data analytics, and digital transformation. Working on diverse and challenging projects, you will have the opportunity to develop multi-disciplinary IT/business skills to help you build a strong career path.

You will be part of a young and ever learning enterprise with an established international network of thought leading professionals driven by bridging the gap between innovation and business. You get the opportunity to meet specialised and professional consultants in a multicultural ecosystem.

Who we are

Keyrus, creator of value in the era of Data and Digital.

Keyrus is dedicated to helping enterprises take advantage of the Data and Digital paradigm to enhance their performance, facilitating and accelerating their transformation, and generating new drivers of growth, competitiveness, and sustainability.

Keyrus in APAC employs more than 220 highly skilled consultants and is part of the international Keyrus Group, an international player in consulting and technologies and a specialist in Data and Digital. Created in 1996, listed on Euronext's Eurolist, with consolidated revenues of US$400m in 2023 and with more than 3,500 employees in 27 countries, the Keyrus Group offers the performance, solidity and know-how of a large professional services organisation, whilst preserving the agility of a young company.

Job Responsibilities

1. Assist in building data models and the company's data platform, optimizing analysis processes, and promoting data standardization.
2. Perform data analysis and reporting to support product strategy and customer management.
3. Responsible for the collection, analysis, and maintenance of product-related data.

Job Requirements

1. 1-3 years of work experience; master's degree or above.
2. Strong data analysis and processing skills, proficient in using common data analysis tools such as SQL and Python.
3. Clear thinking, logical rigor, attention to detail, strong sense of responsibility, and strong data insight ability.

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

Requirements:

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

WHO WE ARE

Volga Partners, a U.S.-based company, specializes in Artificial Intelligence and machine learning, catering to top technology giants and multinational corporations. Beyond that, we offer a spectrum of services including IT, business process outsourcing, advanced professional services, and crowd sourcing in both established and emerging markets.

PLEASE REVIEW THE MANDATORY REQUIREMENT BEFORE APPLYING:

Must be able to read and write in
Simplified Chinese
and
English
.

Mandatory Requirements:

• Must have
  reliable high-speed internet
  and a functioning
  device
  (laptop, desktop, etc.) to ensure seamless communication and productivity.
• Urgency:
  Due to the nature of the role, it is essential that all candidates have these resources in place from day one to avoid any delays in onboarding or task completion.

POSITION

We are looking for a Language Data and Quality Reviewer with proficiency in
Simplified Chinese
to join our team. This role is critical in researching and analyzing data for various entities, tools, and datasets that will be introduced through on-the-job training. The ideal candidate should have a background in technology, with strong logical and analytical skills to assess data and provide valuable insights.

While prior experience in similar roles is beneficial, we encourage candidates with some experience in data analysis, quality assurance, or related fields to apply, especially those looking to grow their skills in a global, dynamic work environment.

Key Responsibilities:

• Data Interpretation
  : Analyze datasets, translating raw data into actionable insights that can support business improvement strategies.
• Perform audio recordings by calling the designated Exotel number.
• Accurately
  label and annotate audio data
  for AI training and solutions.
• Conduct
  QA checks
  on recorded calls to ensure clarity, accuracy, and compliance with project guidelines.
• Data Manipulation
  : Handle data batches, apply labeling techniques, and manipulate data according to project requirements, ensuring high accuracy.
• Language Translations
  : Provide translations and contextual understanding where necessary to ensure data is aligned with language and cultural nuances.

Desired Qualifications:

• Prior experience in audio recording, transcription, annotation, or linguistic projects.
• Familiarity with AI data labelling or related solutions.
• Strong attention to detail and ability to follow structured guidelines.
• Experience with quality assurance or data validation tasks.
• Logical and analytical skills to ensure data accuracy and support project goals.

This is a freelancer role, designed for those who are looking for supplemental income. The project does not have a specific end date, as work availability is sporadic and varies. It's important to understand that the work may be sporadic and not always consistent. Tasks will be uploaded as they become available, and you'll be notified via WhatsApp, email, or Slack (once onboarded through client's portal). Work is offered on a first-come, first-served basis, so while it's an excellent opportunity to earn additional income, it's best suited for individuals who are flexible and can manage sporadic work availability.

Required Skills:

Proficient in
Simplified Chinese
and
English
Language

• Excellent listening and comprehension skills.
• Excellent logical reasoning and analytical skills, with the ability to interpret complex datasets and derive meaningful insights.
• Experience with data labeling and manipulation techniques, ensuring accuracy and reliability in data processing.
• Strong attention to detail and a proactive approach to identifying and addressing data quality issues.
• Basic technical proficiency to manage recordings, upload files, and complete labelling tasks.

Required Qualifications:

• Full proficiency (reading, writing, and/or speaking) in
  Simplified Chinese and English language
• Strong computer skills, particularly in typing and writing.
• Ability to commit
  2–3 hours per day
  during the project timeline.
• Reliable internet connection and access to a phone to complete recordings.

Please read the additional requirements thoroughly before applying:

• Must have own device (laptop/device).
• Currently hiring for a part-time position (up to 0- 20 hours a week)
• The candidate must be available in IST. (Preferred 8am IST onwards).
• Having access to good Wi-Fi connection during working hour.
• This role is a 1099 independent contractor position. Please note that this classification may vary based on your location and local regulations. We encourage applicants outside of the US to familiarize themselves with their country's tax laws and regulations regarding independent contracting. For most candidates outside of the US, a W-8 BEN form is provided.

Compensation:
USD $7.00-$8.00 an hour

This is an exciting opportunity for a remote freelance position Please kindly note that hours are dependent on volume of tasks given by the client. Perfect for a supplemental income opportunity. We look forward to receiving your application

5-day work, 14-20 days AL, Double Pay, Discretionary Bonus, Group medical insurance

Improve data management across Yusen Logistics group data platforms

This job is for whom Interest in innovative & latest Data Engineering. And the talent who is with proven ability to identify innovation opportunities and deliver innovative data management solutions

• SSOT & Master Data Management Implementation:

• Lead the design, implementation and deployment of a Single Source of Truth (SSOT) architecture to enable data sharing across different regions, business units and departments

• Operationalize the SSOT, serving as an Enterprise Centralized Data Repository, to enforce essential governance controls at a global level
• Manage master data and implement Customer 360

• Data Quality Management:

• Engage with key data stakeholders to outline data objectives and gather data requirements. Execute solutions encompassing ownership, accountability, streamlined processes, robust procedures, stringent data quality measures, security protocols, and other pertinent areas to drive successful implementation

• Identify and build data quality rules, investigate and remediate data quality issues
• Design and build data quality dashboards with Power BI

• Data Projects:

• Collaborate with data analysts, data stewards and business stakeholders to understand their data requirements and translate them into technical specifications

• Manage vendors to complete data governance activities, from vendor selection, data discovery, Proof of Concept (PoC) development, implementation to global adoption
• Conduct market research and collaborate with vendors to evaluate cutting-edge data management technologies, trends, and products. Select and deploy the most suitable solutions for Global Data and Analytics Governance initiatives, ensuring seamless scalability
• Data Forum: Organize Global Data Quality Forum and Global Data Architecture Review Forum

Requirement:

• Bachelor's degree from a recognized university in Computer Science, Information Engineering, or related field
• At least 3 years of experience in Data Engineering, or related field
• Knowledge of data management best practices and technologies
• Proven ability to identify innovation opportunities and deliver innovative data management solutions
• Hands-on experiences in SQL and Power BI
• Fluent in English speaking and writing
• Excellent analytical and problem-solving skills
• Energetic, proactive adaptive problem solver, organized, flexible and comfortable navigating through ambiguity
• Sometimes Business Travel is needed

Interested parties please send full resume with employment history and expected salary to HRA Department, Yusen Logistics Global Management (Hong Kong) Limited by email.

Yusen Logistics Global Management (Hong Kong) Limited is an equal opportunity employer. All information collected will be used for recruitment purpose only.

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About Yusen Logistics

Yusen Logistics is working to become the world's preferred supply chain logistics company. Our complete offer is designed to forge better connections between businesses, customers and communities – through innovative supply chain management, freight forwarding, warehousing and distribution services. As a company we're dedicated to a culture of continuous improvement, ensuring everyone who works with us is committed, connected and creative in making us the world's preferred choice.

Location:

Hong Kong, Central and Western District

Team:

Data Management

Job Requisition #: R

Date posted: Sep. 30, 2025

Job Responsibilities:

• Handle Engineering Document (e.g. Manufacturer's Requirement, Maintenance Manual, Engineering Drawings etc.) revision, content review and creation, formatting, and publication, in accordance with Disney Standard.
• Support data management works such as document release workflow, document traceability identification on Electronic Data Management System (EDMS).
• Participate in Tier II Audits for compliance of HKDL and Disney Standard in relation to documentation, workflow, execution of work, etc.
• Monitor and control Internal and Global projects deliverable with Project Team / Vendors, submission control and publication.
• Review and formatting of HKDL Business Practice, assist HKDL Engineering partners on publication and revision; Contact with Global Team on process and publication for HKDL Business Practice.
• Maintain EDMS on system changes / upgrade / testing in coordination with Global Data Management Team; Maintain the attraction paperless system and data integrity in supporting routine Attraction Maintenance tasks.
• Site work in collecting necessary data to support building of engineering document (Manufacturer's Requirement and Maintenance Manual).

Job Requirements:

• Bachelor's Degree in Engineering, Engineering Management, Operations Management, Data Management, or a related discipline.
• Minimum 2 years of experience in document management and administrative work, including process definition and project coordination. Experience in engineering document control and data management within large-scale engineering projects is preferred.
• Familiarity with international quality control and audit systems such as ISO9000 is an added advantage.
• Solid understanding of data management systems and workflows, including classifications, segregation, WDC assignment, ECO and ECF workflows, and check-in/check-out and release processes.
• Strong communication and problem-solving skills, with a detail-oriented and organized approach.
• Good oral and written communication in English and Chinese.

HKProfessional