151 Warehouse Analyst jobs in Hong Kong

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:

• Be one of responsible team members working under the umbrella of Financial Crime Compliance department
• Responsible for building and maintaining the group's compliance database, continuously expanding the data scope, and optimizing the data usage experience
• Assist in the development and maintenance of anti-money laundering assessment models, and participate in model re-examination,parameter tuning, rating calculations, etc
• Responsible for the analysis of anti-money laundering monitoring data and support for Bank of China (Hong Kong) and regional anti-money laundering
• Assist in following up the BOC Hong Kong and regional anti-money laundering application system projects, including writing requirements, testing and acceptance, etc
• Responsible for data management within the department, including data governance, data quality and data security

• Bachelor degree or above in computer or information technology related subjects preferred
• 3-5 years of banking data management, analysis and application experience, preferably with experience in building large data warehouses
• Have strong logical thinking, problem analysis and problem solving abilities, strong data sensitivity and insight
• Proficient in SQL and proficient in data analysis programming languages, such as Python and R
• Have experience in requirements writing, project management and good cross-unit collaboration and communication skills.
• Applicants with Hong Kong Institute of Bankers' Anti-Money Laundering Professional Qualification (such as AAMLP, CAMLP) or other internationally recognized professional qualifications will be given priority but not a must
• Applicants with more experience would be considered as Senior Manager

FINANCE OFFICE

Accountant (Data Analysis) (Financial Management Section) (Ref

Duties

The appointee will be required to:

(a) support the departmental budget allocation of academic units of the University;

(b) design, build up and maintain database;

(c) compile, interpret, and analyse mass data;

(d) conduct data manipulation for scenario study;

(e) develop, enhance and execute tailor-made funding model in conjunction with the resource allocation exercise;

(f) project/estimate and present strategical information for supporting decision making by the management;

(g) perform general accounting duties including financial accounting, management accounting and budgeting; and

(h) perform any other duties as assigned by the Director of Finance or his delegate.

Qualifications

Applicants should have:

(a) a recognised degree, preferably in Data Science, Mathematics, Computer Science, Analytics or a related discipline;

(b) at least two years' post-qualification experience, preferably in database design and data analytics or other related fields;

(c) proficiency in Microsoft Excel, Microsoft Access and Python;

(d) basic knowledge of mathematical concepts and possess experience in handling large databases, including extracting, evaluating and manipulating data for reporting and analytical purposes by using query tools; and

(e) good communication and interpersonal skills, with high level of self-motivation and ability to work independently.

Shortlisted candidates will be invited to sit for a written test.

Applicants who have responded to the previous advertisement need not re-apply.

Conditions of Service

A highly competitive remuneration package will be offered.  Initial appointment will be on a fixed-term gratuity-bearing contract.  Re-engagement thereafter is subject to mutual agreement.

Application

Please submit an application through PolyU's career website ).  Consideration of applications will commence on 12 September 2025 until the position is filled.  The University's Personal Information Collection Statement for recruitment can be found at

PolyU is an equal opportunity employer, dedicated to fostering an environment that embraces diversity and demonstrates inclusion of people from all backgrounds, cultures, identities and experiences where all members of the University are treated with fairness, dignity and respect.  To learn more about the University's "Statement on Equal Opportunities, Diversity, and Inclusion", please visit our website at .

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

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

Mission:

As a Supply Chain & Customer Care Manager for Business Units (BUs) SEA, HK and Taiwan, accountable for stock management and order fulfillment.

Activities:

•Drive Demand Planning process with BUs network, with team management.

•Collaborate cross-functionally to develop an unconstrained demand plan for the BUs.

•Size the strategic stocks for each warehouse, in accordance with local logistics offer, and to align with the Group's supply chain standards.

•Ensure timely and accurate purchase forecast and supply plan to BA.

•Responsible for inventory control and operational efficiency improvement with quality standard.

•Manage ad hoc projects

Qualifications

•Bachelor's degree in operations, Supply Chain or Logistics.

•Over 5 years' experience in Supply Chain management with team leadership and oversight.

•Excellent communication skills and analytical minded

•Good sense of urgency in execution and able to handle competing priorities

•Good business acumen

•Able to work independently with high degree of initiative and driving influence

•Proficient in Microsoft Office 365, ERP systems (with SAP as a plus), and Advanced Planning Systems (APS).

P.S. All job applications must include both current and expected salary details. Applications missing this information may not be considered. Thank you.

Our client is a renowned international conglomerate with a strong portfolio in the consumer health and nutrition space.

Job Duties:

Warehouse Management:

• Implement and maintain best practices in warehouse management to maximize space utilization, improve accuracy, and reduce costs.
• Ensure strict compliance with health, safety, environmental (HSE), and quality standards.

Demand & Supply Planning:

• Develop and maintain robust demand forecasts through collaboration with Sales, Marketing, and key account managers.
• Create and execute supply plans to ensure optimal inventory levels, balancing service level targets with working capital objectives.
• Manage the S&OP process for the responsible product lines.
• Proactively identify and mitigate supply risks, including supply shortages or potential obsolescence.

Inventory Management:

• Oversee all inventory management activities, including cycle counts, stock reconciliations, and annual physical inventories.

Systems & Process Improvement:

• Utilize and champion the use of the company's ERP system on all planning and operational activities.
• Identify and lead projects to streamline processes, enhance system capabilities, and drive automation within the supply chain.

Requirements:

• Bachelor's degree in Supply Chain Management, Logistics, Business Administration, or a related field.
• Minimum of 6+ years of experience in supply chain management, with experience in managing a team.
• Strong analytical and problem-solving skills, with a data-driven approach to decision-making.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Proficient in English and Chinese.

Please email your cv directly in word format with job reference no. JOB to commerce-

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.

What you'll be doing?

Retails support

• Act as the primary liaison between HQ and global retail staff to ensure seamless cooperation for assortment launches, daily operations, and communication.
• Coordinate and support all retail-specific supply chain requests, reducing ad-hoc burdens on core teams.
• Oversee retail order fulfilment, return processing, and ensure stock accuracy at all times.
• Gather feedback from retail channels to continuously improve processes and enhance satisfaction.
• Support cross-functional projects and contribute ideas that drive innovative, efficient retail supply chain operations.

3PL management

• Manage relationships with third-party logistics providers (transportation, warehouse, customs) and execute assessment programs for continuous improvement.
• Design and update logistics strategies for existing and new business initiatives, leveraging third-party logistics providers effectively.
• Implement enhancements to existing logistics operations to optimize efficiency and effectiveness.

Additional Responsibilities

• Support the execution of additional tasks assigned by management to meet organizational objectives and ensure operational success.

Who We Are Looking For

• Bachelor's degree in Supply Chain Management, Logistics, or related field.
• 3–4 years' experience in supply chain/logistics/retail operations
• Team player, with a demonstrated ability to work collaboratively, contribute to team goals, and support colleagues in achieving shared objectives.
• Excellent communication skills and strong problem-solving ability and willingness to propose bold, creative solutions.
• Proficiency with ERP systems and data management.
• Ability to operate independently, thrive in fast-paced environments, and take ownership of assigned tasks.
• Strong organizational and multitasking skills.

Why you should consider this opportunity:

We offer competitive remuneration package to the right candidate, including

• 5 days work week
• Discretionary Performance Bonus
• Medical Insurance
• Network Dental
• Attractive Staff Purchase Discount
• 15 days leave per year
• Flexible Working Hour