139 Data Analytics jobs in Hong Kong

This role oversees a range of data-related responsibilities, including data mining, database management and upkeep, ensuring data quality, and conducting data analysis.

Job Duties

• Data Requests & Integration
  
  Key datasets-such as Hong Kong Granular Data-are exclusively accessible to the country analytics team (DAI). Having a dedicated DAI resource within the country enables faster turnaround for locally generated reports and summary tables shared with relevant stakeholders.
• Collaboration & Strategy DevelopmentThe role involves close collaboration with both internal and external business partners to develop, implement, monitor, and enhance decision-making strategies. Although primarily a business function, it requires coordination with marketing, technology teams, and various systems to support execution and launches.
• Campaign & Initiative AnalysisAnalytics support is needed from target selection through to campaign performance evaluation. As the number of initiatives grows, country-level DAI support becomes increasingly critical

Requirements

• Minimum 3 years in Data Analytics
• Relevant experience in data with basic SQL knowledge
• Preferred hands-on expeirence on any analytic tools (Ex. SAS, Knowledge Seeker, SPSS etc)

Company Introduction:

We're home to Asia's most dynamic and vibrant capital markets.

Connecting capital, ideas, inspiration and innovation for deeper, more diverse and liquid global capital markets; providing greater choice and opportunity for our customers, each and every day.

HKEX is a purpose-driven company. Our commitment to the long-term development of our business and our markets is articulated in our purpose: "To Connect, Promote and Progress our Markets and the Communities they support for the prosperity of all."

Job Summary:

HKEX is on an exciting journey of transforming our Post Trade data landscape. Data and Analytics, part of the Post Trade, aims to empower the staff and clients of HKEX with the use of Post Trade data, and to improve the efficiency and profitability of HKEX's business with data-driven decisions. An exciting time lies ahead and we are now inviting an experienced Data Analytics / Engineer to join our team.

The position we offer:

As a Data Engineer, you will help to drive innovation with our Big Data and Analytics Platforms, through applying various analytical and statistical techniques to drive business growth. You will help Post Trade to enhance the analytical processes in our data framework including risk, DNS, clearing and settlement data, building data pipelines for business users and operational teams for self-service business intelligence queries.

Job Duties:

Job Responsibilities:

• Work with business users to identify value-added opportunities through data analytics; articulate business requirements and design and implement suitable data solutions;
• Analyze large volumes of diverse data with our Business Analytics Platform with appropriate analytics, visualization and data science techniques;
• Innovate, promote, and drive new data and analytics concepts across all areas in the department;
• Engage with IT  to design and continuously refine Post Trade data framework;
• Work closely with the operation and business to enhance the existing business use case;
• Optimize the existing workflow and use case to smoothen the process.

Job Requirements:

We expect the ideal candidate to have 6+ years of experience as a Data Analytics SME, Business Intelligence Engineer, Data Scientist or similar role. You should be experienced in developing dashboards and conducting data and statistical analysis, able to work effectively in cross-functional teams and a constantly changing environment. Experience in developing analytics solution on data in the large scale and financial industry / risk management is highly desired

Ability to independently influence and drive delivery, set clear expectations and roadmaps;

• Data driven thinking;
• Advanced skills in data visualization tools like Tableau, Qlik or PowerBI;
• Hands on experience of Python, xQLib or similar coding languages;
• Demonstrated strength in SQL, data modeling, ETL development, and data warehousing;
• Understanding of statistical models, machine learning, graph analysis;
• Experience in AWS or Huawei Cloud platform
• Experience in data security and protection tools;
• Knowledge in HeTu Engine is a plus

Ideally, you should also have:

• Experience in Financial Markets (e.g. exchange, brokerage, trading institution) and knowledge of financial products;
• Experience working in cross-functional teams, able to communicate effectively with both business and technical teams

HKEX is committed as an Equal Opportunity Employer. Diversity is one of our core values and we look to support, respect diverse perspectives, abilities, culture and experiences within our workplace.

Company Introduction:

We're home to Asia's most dynamic and vibrant capital markets.

Connecting capital, ideas, inspiration and innovation for deeper, more diverse and liquid global capital markets; providing greater choice and opportunity for our customers, each and every day.

HKEX is a purpose-driven company. Our commitment to the long-term development of our business and our markets is articulated in our purpose: "To Connect, Promote and Progress our Markets and the Communities they support for the prosperity of all."

Job Summary:

As a Data Engineer, you will help to drive innovation with our Big Data and Analytics Platforms, through applying various analytical and statistical techniques to drive business growth. You will help Post Trade to enhance the analytical processes in our data framework including risk, DNS, clearing and settlement data, building data pipelines for business users and operational teams for self-service business intelligence queries.

Job Duties:

Responsibilities:

• Work with business users to identify value-added opportunities through data analytics; articulate business requirements and design and implement suitable data solutions;
• Analyze large volumes of diverse data with our Business Analytics Platform with appropriate analytics, visualization and data science techniques;
• Innovate, promote, and drive new data and analytics concepts across all areas in the department;
• Engage with IT  to design and continuously refine Post Trade data framework;
• Work closely with the operation and business to enhance the existing business use case;
• Optimize the existing workflow and use case to smoothen the process.

Requirements:

We expect the ideal candidate to have 3+ years of experience as a Data Analytics SME, Business Intelligence Engineer or similar role. You should be experienced in developing dashboards and conducting data and statistical analysis, able to work effectively in cross-functional teams and a constantly changing environment. Experience in developing analytics solution on data in the large scale and financial industry / risk management is highly desired.

Ability to independently influence and drive delivery, set clear expectations and roadmaps;

• Data driven thinking;
• Advanced skills in data visualization tools like Tableau, Qlik or PowerBI;
• Hands on experience of Python, xQLib or similar coding languages;
• Demonstrated strength in SQL, data modeling, ETL development, and data warehousing;
• Understanding of statistical models, machine learning, graph analysis;
• Experience in AWS or Huawei Cloud platform
• Experience in data security and protection tools;
• Knowledge in HeTu Engine is a plus

Ideally, you should also have:

• Experience in Financial Markets (e.g. exchange, brokerage, trading institution) and knowledge of financial products;
• Experience working in cross-functional teams, able to communicate effectively with both business and technical teams;

You will be joining a cross functional team in a highly international environment based in Hong Kong.

HKEX is committed as an Equal Opportunity Employer. Diversity is one of our core values and we look to support, respect diverse perspectives, abilities, culture and experiences within our workplace.

PRINCIPAL ACCOUNTABILITIES:

• Serve as the Bank's innovation hub to explore the availability and applicability of new/evolving data and technologies for analytics, with the objective of enhancing the business value for the Bank

• Hands-on development of advanced analytics/ Machine Learning-based solutions to uplift effectiveness of analytics and modelling through (i) supervised/ unsupervised machine learning techniques (ii) structured and unstructured data e.g. digital footprint

• Explore the availability, accessibility, and transformation/ utilization of unstructured data (e.g. browsing data, voice recordings, emails, images, videos)

• Integrate customer's internal and external data (both structured and unstructured) to create a 360 customer view

• Explore existing system capabilities and identify necessary developments (both system and process) leveraging internal banking system and/or other vendor solutions in order to plan effective business applications with realistic timelines

• Develop a close-loop learning path and ensure insights and learnings are implemented for continuous improvement

• Serve as the Subject Matter Expert to train and advocate for uplifting machine learning skills and culture among existing analysts

INCUMBENT REQUIREMENT:

• Bachelor's / Master's degree in Computer Science, Data and Information Management, Statistics or a related discipline

• A data scientist with minimum 8 years of hands-on experience in developing and executing large scale analytics deliverables/ projects in the Financial Services Industry

• Deep experience in applying artificial intelligence and machine learning techniques/algorithms, infused with industry knowledge, to enhance business strategies

• Proficient in programming languages like Python and SAS, and experienced in working with data manipulation, analysis, machine learning, web crawling and NLP

• Strong in transforming analytical concepts and developments into business strategies and applications for the uplift of business value

• Great sense of ownership and servicing mindset to ensure efficient and effective customer service processes

• Continuous learning mindset and a passion for staying up-to-date with the latest advancements in data science and machine learning

• Proficiency in English and Chinese (both Cantonese and Putonghua)

Applicants who are not contacted within 8 weeks may consider their applications unsuccessful and their personal data will be retained by the bank for a period up to two years.

All information provided by applicants will be used for recruitment purposes only and will be used strictly in accordance with the bank's personal data policies, a copy of which will be provided upon request.

Overview

SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and BE YOU to let our individual talent and experience shine. Applying for a job at PUMA is easy and all genders are welcome. Simply click APPLY ONLINE and follow the steps to upload your application.

• Assist in the development and maintenance of ETL pipelines to ensure reliable data flow across systems.
• Monitor data workflows and troubleshoot issues to maintain data integrity and performance.
• Collaborate with data engineers and analysts to integrate new data sources and improve existing pipelines.
• Document data processes and contribute to operational best practices.
• Maintain and update Power BI dashboards to reflect current business metrics and KPIs.
• Ensure data accuracy and consistency in dashboards through regular validation.

• Bachelor’s degree in Data science, Data Analytics, Computer Science, Information Systems, or a related field.
• At least 4 years of experience in data analytics or a similar role.
• Proficiency in Python, SQL and familiarity with ETL tools (e.g. dbt, Azure Data Factory).
• Understanding of CI/CD practices and tools (e.g., Git, Jenkins).
• Proficiency on containerization techniques (e.g. Docker, K8s).
• Experience with Power BI, including data modelling and dashboard creation.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.
• Familiarity with Agile methodologies and project tracking tools.
• Candidate will less experience will be considered as Executive Data Analytics.

PUMA supports over 19,000 employees across 120+ countries. The PUMA Group owns the brand PUMA, Cobra Golf and stichd, and is headquartered in Herzogenaurach, Germany.

PUMA provides equal opportunities for all job applicants, regardless of race, color, religion, national origin, sex, gender identity or expression, sexual orientation, age, or disability. Equality for all is one of the core principles at PUMA and we do not tolerate any form of harassment or discrimination.

Company Introduction:

We're home to Asia's most dynamic and vibrant capital markets.

Connecting capital, ideas, inspiration and innovation for deeper, more diverse and liquid global capital markets; providing greater choice and opportunity for our customers, each and every day.

HKEX is a purpose-driven company. Our commitment to the long-term development of our business and our markets is articulated in our purpose: "To Connect, Promote and Progress our Markets and the Communities they support for the prosperity of all."

Job Summary:

The Data Analytics Manager, Chief Data Office of the Information Technology Division, is a strategically aligned role responsible for developing data analytics capabilities and solutions on our enterprise data platform.

Job Duties:

The Data Analytics Project Manager will lead the planning, execution, and delivery of data analytics projects to incrementally build out our enterprise data platform. Key duties span across various technical and project management responsibilities in the data projects. The role applies data analytics technology skills in enabling capabilities like data ingestion, data modeling, data governance, data visualization, and analytics toolset. The role requires a strong technical background in data technologies as well as excellent project management skills to ensure projects are completed on time and within budget, meeting high-quality standards.

Responsibilities:

• Lead cross-functional teams and manage end-to-end responsibilities of data analytics projects, from inception to deployment.
• Collaborate with business stakeholders to deliver data platform capabilities, prioritizing requirements based on business benefits and protection against data risks.
• Project manage data initiatives, tracking progress and risks against scope, schedule, and costs, in coordination with business and tech units.
• Promote compliant and quality reuse of data on the enterprise platform, through incremental delivery of functionalities in the data lifecycle, including data access control, data lineage, data quality, data analytics, etc.
• Manage third-party data products and vendors for deployment on the data platform.
• Implement cloud and open-source capabilities to enable data management and data governance.
• Effectively use hybrid project management techniques, applying agile tools within SDLC phases.
• Coordinate with the data engineering function in their efficient use of technical tools, internal resources, and skills, optimizing technical synergies and efficiency across initiatives.

Requirements:

• Bachelor's degree in technology, engineering, or related disciplines.
• 10 or more years of working experience in data technology or project management, preferably with a good track record in large enterprises. The VP position requires stronger technology and management experiences.
• Well-versed with SDLC project disciplines, experience with Agile methodologies, and leading cross-functional teams.
• Solid technical background with experience in software development and data-related technologies, such as multi-tiered service-oriented architecture, data modeling, and data virtualization.
• Good coverage and understanding of enterprise data architecture requirements and end-to-end technology stack.
• Experience in JupyterNotebook or equivalent data scientist workbench and deployment of multi-tenant architecture.
• Familiar with native cloud technologies
• Experience in data security and data management tools.
• Familiarity with data management, data governance, and data quality standards.
• Excellent communication and influencing skills.
• PMP, PRINCE2, or Agile certification is an advantage.

HKEX is committed as an Equal Opportunity Employer. Diversity is one of our core values and we look to support, respect diverse perspectives, abilities, culture and experiences within our workplace.

Location:

HKEX - Exchange Square

Shift:

Standard - 40 Hours (Hong Kong SAR)

Scheduled Weekly Hours:

40

Worker Type:

Permanent

Company: Southa Holdings Limited

Southa Holdings Limited, in partnership with Veolia Hong Kong & Macau, specializes in E&M, O&M, and BMS services, offering energy efficiency upgrades, decarbonization strategies, and digitized operations to enhance building performance and tenant comfort.

Location: Chai Wan Office

Job Description:

●    To conduct data analysis and visualization;

●    Conduct statistical analysis and interpret the results to guide and optimize the organization's decision-making process;

●    Participate in energy performance analysis/Retro-commissioning/energy audits/Energy Performance Contract;

●    Make use of Python program for data analysis and develop charts for analysis;

●    Ensure the respect of processes, procedures, and operational modes defined by the Group and participate in their continuous improvement;

●    Maintain a close relationship with internal and external stakeholders;

●    Other ad hoc projects as assigned

Qualifications:

●    Bachelor's degree or above in Data Science, Statistics,  Engineering (e.g. Mechanical Engineering, Building Services Engineering, Energy Engineering, Electrical Engineering, or relevant disciplines) or a related field with a strong foundation in HVAC system, algorithms, and data analysis is crucial;

Requirements:

●    Familiar with IPMVP Protocol and/or qualified IPMVP/PMVA/CEM professional will be an advantage

●    RCx practitioner or RCx Pro will be an advantage

●    Professional membership from a relevant organization will be an advantage

●    Excellent attention to detail, strong numeracy & analytical skills;

●    Good interpersonal, communication and technical presentation skills; Good command in written and spoken in English and Chinese

●    Positive, committed, team player, performance driven, and also able to work independently

●    Team building players

Benefit:

●    Medical and Hospitalization Insurance

●    Life Insurance

●    Parental Leave

●    Volunteer Leave

●    Exam Leave

We offer an attractive remuneration package to the right candidate. Interested parties are invited to submit their full resume, including current and expected salary, along with availability, via: "Apply Now"

For more information about us, please visit

Southa is an equal opportunity employer and welcomes applicants from all qualified candidates. The information provided will be treated in strict confidence and be used only for consideration of your application for relevant / similar posts within the Southa Group.

All personal data of unsuccessful applicants will be destroyed within 24 months from the date of application.

Company Introduction:

We're home to Asia's most dynamic and vibrant capital markets.

Connecting capital, ideas, inspiration and innovation for deeper, more diverse and liquid global capital markets; providing greater choice and opportunity for our customers, each and every day.

HKEX is a purpose-driven company. Our commitment to the long-term development of our business and our markets is articulated in our purpose: "To Connect, Promote and Progress our Markets and the Communities they support for the prosperity of all."

Job Summary:

The incumbent, Data Analytics Engineer, Chief Data Office of the Information Technology Division, is an important role for developing data analytics capabilities and enhancing our enterprise data platform.

Job Duties:

The Data Analytics Engineer is responsible for the execution, and delivery of data analytics engineering projects to incrementally build out our enterprise data platform. Key duties focus on application of engineering skills for end-to-end data analytics technology capabilities from data ingestion, data modelling, data governance, data visualization and analytics solutions implementation. The role requires a strong technical background in cloud experiences and data domain technologies as well as excellent problem-solving skills to ensure solutions are scalable, secure, and efficient.

Key Responsibilities:

• Work with cross-functional teams to deliver data engineering projects, from development, deployment though to support in ensuring high availability and performance.
• Design and implement scalable and secure data analytics solutions for data ingestion, data processing, data visualization etc.
• Collaborate with stakeholders to deliver data platform capabilities, prioritising requirements basing on business benefits and protection against data risks.
• Promote compliant and quality reuse of data on enterprise platform, through incremental delivering functionalities in data lifecycle, including data access control, data lineage, data modelling, data quality and data analytics.
• Apply native cloud skills like container, object storage etc. to enable effective data analytics, data management and data governance.
• Manage development pipeline thru DevSecOps, CICD tooling and Infrastructure as Code.
• Effectively use hybrid project management techniques, applying agile tools within SDLC phases
• Coordinate other IT functions in the efficient use of technical tools, internal resources and skills, optimising technical synergies and efficiency across initiatives.
• Manage third-party data products and vendors for deployment onto the data platform.

Requirements:

• Bachelor's degree in computer science, technology, data or related disciplines
• 5 years of working experience in systems development, preferably having track record in large enterprises. AVP position will require stronger technology and management experiences.
• Well versed with SDLC project disciplines, and experienced in Agile methodologies in a cross-functional teams
• Good understanding of enterprise data architecture and technology stack, covering batch processing and streaming data for analytics usage.
• Familiar with cloud tecnology and operations in AWS, Azure or China clouds and data processing in a cloud environment.
• Solid technical background with hands-on experience in software development and data related technologies.
• Proficiency in programming languages such as Python, Java, C++ or Scala
• Hands-on experience with big data technologies and ecosystems, including Hadoop, Spark, and Kafka.
• Knowledge of database systems, both relational and NoSQL.
• Familiar with big data technologies, e.g., Redshift, HDFS, HBase, Hive etc.
• Experience in data security and data management tools, e.g., LDAP, OAuth, Keycloak, Lake Formation etc.
• Experienced in DevSecOps tolling, CI/CD pipeline, Terraform etc
• Excellent problem-solving skills and the ability to work in a fast-paced environment.

HKEX is committed as an Equal Opportunity Employer. Diversity is one of our core values and we look to support, respect diverse perspectives, abilities, culture and experiences within our workplace.

Location:

HKEX - Exchange Square

Shift:

Standard - 40 Hours (Hong Kong SAR)

Scheduled Weekly Hours:

40

Worker Type:

Permanent

SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and BE YOU to let our individual talent and experience shine. Applying for a job at PUMA is easy and all genders are welcome. Simply click APPLY ONLINE and follow the steps to upload your application.

Your Mission

• Assist in the development and maintenance of ETL pipelines to ensure reliable data flow across systems.
• Monitor data workflows and troubleshoot issues to maintain data integrity and performance.
• Collaborate with data engineers and analysts to integrate new data sources and improve existing pipelines.
• Document data processes and contribute to operational best practices.
• Maintain and update Power BI dashboards to reflect current business metrics and KPIs.
• Ensure data accuracy and consistency in dashboards through regular validation.

Your Talent

• Bachelor's degree in Data Science, Data Analytics, Computer Science, Information Systems, or a related field.
• At least 2-4 years of experience in data analytics or a similar role.
• Proficiency in Python, SQL and familiarity with ETL tools (e.g. dbt, Azure Data Factory).
• Understanding of CI/CD practices and tools (e.g., Git, Jenkins).
• Proficiency on containerization techniques (e.g. Docker, K8s).
• Experience with Power BI, including data modelling and dashboard creation.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.
• Familiarity with Agile methodologies and project tracking tools.
• Candidate with more experience will be considered as Senior Executive Data Analytics.

PUMA supports over 19,000 employees across 120+ countries. The PUMA Group owns the brand PUMA, Cobra Golf and Stichd, and is headquartered in Herzogenaurach, Germany. PUMA provides equal opportunities for all job applicants, regardless of race, color, religion, national origin, sex, gender identity or expression, sexual orientation, age, or disability. Equality for all, is one of the core principles at PUMA and we do not tolerate any form of harassment or discrimination.