74 Data Analytics jobs in Hong Kong

Join to apply for the Officer, Data Analytics role at Hong Kong Exchanges and Clearing Limited (HKEX)

Join to apply for the Officer, Data Analytics role at Hong Kong Exchanges and Clearing Limited (HKEX)

Get AI-powered advice on this job and more exclusive features.

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.

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.
  
  

• 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
  
  

• 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;
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology

Referrals increase your chances of interviewing at Hong Kong Exchanges and Clearing Limited (HKEX) by 2x

Central, Hong Kong SAR SGD800.00-SGD1,200.00 2 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Manager, Data Analytics role at Prudential Hong Kong

1 day ago Be among the first 25 applicants

Join to apply for the Manager, Data Analytics role at Prudential Hong Kong

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Job Responsibilities

• Conduct thorough analysis of customer and distribution channel data to identify opportunities for business growth, customer acquisition, cross-selling, upselling, retention, and maximizing customer value.
• Collaborate with internal stakeholders to gather business requirements and ensure the seamless integration of analytics for timely, insight-driven decision-making in business projects.
• Transform business questions into actionable analysis and provide data-driven recommendations to drive decision-making.
• Develop advanced analytics and machine learning-based solutions to enhance the effectiveness of analytics and modeling, utilizing machine learning techniques and unstructured data such as digital footprints.
• Create a comprehensive and efficient framework for end-to-end business analytics and data visualization.
• Work closely with the IT department to ensure the security, scalability, and integration of data solutions with existing systems and infrastructure.
• Collaborate with external partners, vendors, and IT to ensure the successful application and continuous improvement of data models and analytics tools.
• Explore the availability, access, transformation, and use of structured and unstructured data for customer and channel analytics purposes.
• Develop a customer and channel analytics data foundation and enable behavioral analytics deliverables to business units.
  
  
  

• Degree holder in Computer Science, Decision Science, Mathematics, Econometrics, Actuarial Science, Marketing Analytics or Statistics
• Minimum 5 years of working experience in data analytics, with a minimum 3 years of experience in insurance industry
• Hands-on experience in machine learning & advanced analytics
• Hands-on experience in developing and executing large scale analytics deliverables / projects in Financial Services Industry
• Proven experience in driving analytics strategy and business results
• Ability to build strong stakeholders' relationships through thorough understanding of business requirements and the ability to analyze issues to find effective solutions
• Knowledge in data infrastructure and experience in vendor management
• Solid experience in Python & SQL is a must
• Experience in PowerBI is a plus
• Strong presentation, communication, interpersonal skills and a good team player
• Proficiency in English and Chinese (both Cantonese and Mandarin）
  
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology

Referrals increase your chances of interviewing at Prudential Hong Kong by 2x

Wan Chai District, Hong Kong SAR 2 months ago

Central & Western District, Hong Kong SAR 2 months ago

Hong Kong, Hong Kong SAR HK$55,000.00-HK$75,000.00 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Officer, Data Analytics role at Hong Kong Exchanges and Clearing Limited (HKEX)

Join to apply for the Officer, Data Analytics role at Hong Kong Exchanges and Clearing Limited (HKEX)

Get AI-powered advice on this job and more exclusive features.

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.

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.
  

• 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
  

• 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;
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology

Referrals increase your chances of interviewing at Hong Kong Exchanges and Clearing Limited (HKEX) by 2x

Central, Hong Kong SAR SGD800.00-SGD1,200.00 2 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Manager, Data Analytics role at Prudential Hong Kong

1 day ago Be among the first 25 applicants

Join to apply for the Manager, Data Analytics role at Prudential Hong Kong

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
Job Responsibilities

• Conduct thorough analysis of customer and distribution channel data to identify opportunities for business growth, customer acquisition, cross-selling, upselling, retention, and maximizing customer value.
• Collaborate with internal stakeholders to gather business requirements and ensure the seamless integration of analytics for timely, insight-driven decision-making in business projects.
• Transform business questions into actionable analysis and provide data-driven recommendations to drive decision-making.
• Develop advanced analytics and machine learning-based solutions to enhance the effectiveness of analytics and modeling, utilizing machine learning techniques and unstructured data such as digital footprints.
• Create a comprehensive and efficient framework for end-to-end business analytics and data visualization.
• Work closely with the IT department to ensure the security, scalability, and integration of data solutions with existing systems and infrastructure.
• Collaborate with external partners, vendors, and IT to ensure the successful application and continuous improvement of data models and analytics tools.
• Explore the availability, access, transformation, and use of structured and unstructured data for customer and channel analytics purposes.
• Develop a customer and channel analytics data foundation and enable behavioral analytics deliverables to business units.
  

• Degree holder in Computer Science, Decision Science, Mathematics, Econometrics, Actuarial Science, Marketing Analytics or Statistics
• Minimum 5 years of working experience in data analytics, with a minimum 3 years of experience in insurance industry
• Hands-on experience in machine learning & advanced analytics
• Hands-on experience in developing and executing large scale analytics deliverables / projects in Financial Services Industry
• Proven experience in driving analytics strategy and business results
• Ability to build strong stakeholders' relationships through thorough understanding of business requirements and the ability to analyze issues to find effective solutions
• Knowledge in data infrastructure and experience in vendor management
• Solid experience in Python & SQL is a must
• Experience in PowerBI is a plus
• Strong presentation, communication, interpersonal skills and a good team player
• Proficiency in English and Chinese (both Cantonese and Mandarin）
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology

Referrals increase your chances of interviewing at Prudential Hong Kong by 2x

Wan Chai District, Hong Kong SAR 2 months ago

Central & Western District, Hong Kong SAR 2 months ago

Hong Kong, Hong Kong SAR HK$55,000.00-HK$75,000.00 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join us to apply for the Head of Data & Analytics role at Sun Life .

Discover how you can make a difference in the lives of individuals, families, and communities around the world. This role offers an exciting opportunity to lead our company's data & analytics strategy and transform how insights drive business decisions.

• The Head of Data & Analytics will lead our data & analytics strategy, leveraging expertise in data analytics, business strategy, and AI/GenAI applications. The candidate will drive value creation through internal and external data assets, creating competitive advantages in our insurance business.

• Deep expertise in data analytics, business strategy, and AI/GenAI applications.

• Master's degree in Data Science, Statistics, Computer Science, Mathematics, Business Analytics, Economics, or related fields.
• At least 18 years of experience in banking or insurance, with 5+ years in leadership roles.
• Proven success in applying advanced analytics and AI to achieve measurable business outcomes.
• Proficiency in analytics tools and programming languages (Python, R, SQL).
• Experience with data visualization platforms (Tableau, Power BI, Looker).
• Knowledge of cloud platforms (AWS, Azure, Google Cloud).
• Strong understanding of machine learning frameworks and AI technologies.
• Experience in data management, database architectures, and data governance.
• Ability to translate complex data into actionable insights for non-technical stakeholders.
• Excellent communication and presentation skills with strong business acumen.

• Developing analytics insights and strategies.
• Reporting and visualization.
• Advanced analytics and AI modeling.
• Data management and governance.
• Leadership and team development.
• Cross-functional collaboration.
• Risk mitigation and compliance related to data.

This job posting is active and will close on 04/09/2025.

About Our Client

Our client is a market leader with a global presence. To support their business growth, they are hiring a Regional Data Analytics Lead who is outspoken and hands-on.

Job Description

1. Manage a team of 5 data analysts. Lead by example, enabling them to own data products.
2. Drive data culture, define data access rights, establish best practices, and data collection procedures. Sustain and govern data quality. Ensure a reliable and user-friendly self-serve data environment. Act as HQ Group Data Lead to promote data culture and deliver presentations/talks across APAC data teams.
3. Lead data analytics and transformation projects, derive insights, and communicate stories to business leaders.
4. Promote decentralization of the data team, ensuring brands are equipped with the latest data and skills for self-serve BI.
5. Collaborate closely with the data science team on AI projects.

The Successful Applicant

1. Bachelor's degree in Business Administration, Statistics, Data Science, or relevant fields.
2. 6+ years' experience in Data Analytics.
3. Proficient in SQL and Python.
4. Experience in dashboard development (Power BI, Tableau, Looker, etc.).
5. Knowledge of ETL processes and Data Warehousing; familiarity with ML/Data Science is a plus. Strong ability to work with technical teams on data solutions.
6. Experience with BigQuery and GCP is advantageous.
7. Effective at making cross-region presentations to promote data culture and literacy.
8. Excellent communication skills across multicultural business users. Strong data translation skills.
9. Experience in data enablement with self-service BI hubs is a plus.
10. Background in MNCs is highly preferred. Experience in B2C/Brands industries is a plus.
11. Team leadership experience (3+ people) is required.
12. Regional or global project experience is advantageous.
13. Proficient in Chinese and English.
14. A calm, logical, proactive leader with a can-do attitude and a mindset of continuous learning.

What's On Offer

Our client offers attractive compensation packages and a sustainable career path.

Contact: Eliza Lai

Quote job ref: JN-072024-6472763

Seniority level : Mid-Senior level

Employment type : Full-time

Job function : Information Technology and Engineering

Industries : Personal Care Product Manufacturing, Retail Groceries, Food and Beverage Manufacturing

Referrals increase your chances of interviewing at Michael Page by 2x.

Get notified about new Data Specialist jobs in Hong Kong SAR .

Note: This job posting appears to be active; no expiration indicators are present.

Our client, a global hedge fund, is seeking a data analyst to join their expanding team in Hong Kong. As the volume of data continues to grow, they are implementing innovative research methodologies to identify significant trends. The successful candidate will be committed to generating sustained alpha through a scientific approach, delivering fundamental investment insights.

The role:

• Collaborate with investment teams to identify and understand key data drivers influencing companies and sectors.
• Analyze data from diverse sources to evaluate complex investment hypotheses.
• Rapidly process data to recognize inflection points and assess its relevance to current investment questions.
• Conduct research and present findings to data analysts and investment teams in a clear and accessible manner.
• Utilize existing and new data sets to generate impactful ideas and decision-support tools for investment teams.

What you offer:

• Bachelor’s degree in a STEM discipline.
• At least 3+ years of relevant experience in the data analyst/science space.
• Exceptional attention to detail with a passion for exploring data thoroughly.
• Outstanding analytical and problem-solving abilities.
• Proven track record of asking insightful questions and deriving actionable conclusions from data.
• Quick to adapt and learn new technologies, skills, and industry concepts.
• Experience in data visualization using Tableau & Tableau Prep
• Alteryx or PowerBI exposure also would be advantageous.
• Proficient in SQL databases.

The sell:

• Competitive salary
• Strong brand name in the industry that will help create opportunities for your career in the near future

About Our Client

Our client is a market leader with a global presence. To support their business growth, they are hiring a Regional Data Analytics Lead who is outspoken and hands-on.

Job Description

• Manage a team of 5 data analysts. Lead by example, enabling them to own data products.
• Drive data culture, define data access rights, establish best practices, and data collection procedures. Sustain and govern data quality. Ensure a reliable and user-friendly self-serve data environment. Act as HQ Group Data Lead to promote data culture and deliver presentations/talks across APAC data teams.
• Lead data analytics and transformation projects, derive insights, and communicate stories to business leaders.
• Promote decentralization of the data team, ensuring brands are equipped with the latest data and skills for self-serve BI.
• Collaborate closely with the data science team on AI projects.

The Successful Applicant

• Bachelor's degree in Business Administration, Statistics, Data Science, or relevant fields.
• 6+ years' experience in Data Analytics.
• Proficient in SQL and Python.
• Experience in dashboard development (Power BI, Tableau, Looker, etc.).
• Knowledge of ETL processes and Data Warehousing; familiarity with ML/Data Science is a plus. Strong ability to work with technical teams on data solutions.
• Experience with BigQuery and GCP is advantageous.
• Effective at making cross-region presentations to promote data culture and literacy.
• Excellent communication skills across multicultural business users. Strong data translation skills.
• Experience in data enablement with self-service BI hubs is a plus.
• Background in MNCs is highly preferred. Experience in B2C/Brands industries is a plus.
• Team leadership experience (3+ people) is required.
• Regional or global project experience is advantageous.
• Proficient in Chinese and English.
• A calm, logical, proactive leader with a can-do attitude and a mindset of continuous learning.

What's On Offer

Our client offers attractive compensation packages and a sustainable career path.

Contact: Eliza Lai

Quote job ref: JN-072024-6472763

Seniority level : Mid-Senior level

Employment type : Full-time

Job function : Information Technology and Engineering

Industries : Personal Care Product Manufacturing, Retail Groceries, Food and Beverage Manufacturing

Referrals increase your chances of interviewing at Michael Page by 2x.

Get notified about new Data Specialist jobs in Hong Kong SAR .

Note: This job posting appears to be active; no expiration indicators are present.

Join us to apply for the Head of Data & Analytics role at Sun Life .

Discover how you can make a difference in the lives of individuals, families, and communities around the world. This role offers an exciting opportunity to lead our company's data & analytics strategy and transform how insights drive business decisions.

• The Head of Data & Analytics will lead our data & analytics strategy, leveraging expertise in data analytics, business strategy, and AI/GenAI applications. The candidate will drive value creation through internal and external data assets, creating competitive advantages in our insurance business.

• Deep expertise in data analytics, business strategy, and AI/GenAI applications.

• Master's degree in Data Science, Statistics, Computer Science, Mathematics, Business Analytics, Economics, or related fields.
• At least 18 years of experience in banking or insurance, with 5+ years in leadership roles.
• Proven success in applying advanced analytics and AI to achieve measurable business outcomes.
• Proficiency in analytics tools and programming languages (Python, R, SQL).
• Experience with data visualization platforms (Tableau, Power BI, Looker).
• Knowledge of cloud platforms (AWS, Azure, Google Cloud).
• Strong understanding of machine learning frameworks and AI technologies.
• Experience in data management, database architectures, and data governance.
• Ability to translate complex data into actionable insights for non-technical stakeholders.
• Excellent communication and presentation skills with strong business acumen.

• Developing analytics insights and strategies.
• Reporting and visualization.
• Advanced analytics and AI modeling.
• Data management and governance.
• Leadership and team development.
• Cross-functional collaboration.
• Risk mitigation and compliance related to data.

This job posting is active and will close on 04/09/2025.