143 Data Insights jobs in Hong Kong

Are you passionate about transforming clinical insights into meaningful impact? Do you see yourself thriving in a fast-paced healthcare environment where your analytical skills and ideas truly matter?

Join us as an AI and Data Insights Analyst and become a driving force in shaping the future of healthcare.

We're looking for curious, driven individuals with experience in clinical data and a vision for innovation. In this role, you'll collaborate with cross-functional teams, work closely with healthcare professionals, and contribute to projects that improve patient outcomes and operational efficiency.

Responsibilities :

Analyze clinical data to support healthcare research and strategy

Provide insights for patient engagement and institutional projects

Conduct market and competitor analysis in the healthcare sector

Collaborate with medical and research teams to apply data findings

Support research operations and participate in ad-hoc projects

Requirements:

Master's degree in Biomedical Science, Public Health, Statistics or related field

Minimum 1 year of experience in data analysis or healthcare research

Experience in PowerBI / Tableau / Python is advantageous

Strong analytical skills and ability to work independently

Skilled in MS PowerPoint and Excel (e.g. vlookup and pivot tables)

Proficiency in written and spoken English, Cantonese and Mandarin

All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.

Full-time

Our client is a leading large-scale commercial bank, offers diverse financial services, including corporate and personal banking, asset management, and emphasizes technology finance, green finance, and national strategy support.

Responsibilities

• Act as the Bank's center for innovation, assessing the potential of
  emerging data and technologies
  for analytics to enhance business value.
• Engage in the hands-on creation of a
  dvanced analytics and machine learning solutions
  to improve the effectiveness of analytics and modeling using both supervised and unsupervised techniques on structured and unstructured data, such as
  digital footprints
  .
• Investigate the availability and transformation of unstructured data sources, including browsing history, voice recordings, emails, images, and videos.
• Combine internal and external customer data, both structured and unstructured, to develop a comprehensive customer profile.
• Review current system capabilities and identify necessary enhancements in both systems and processes, utilizing internal banking systems or vendor solutions to plan effective business applications with achievable timelines.
• Establish a feedback loop for learning, ensuring that insights are applied for ongoing improvement.
• Serve as a Subject Matter Expert to train and promote a culture of machine learning skills within the organization.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Management, Statistics, or a related field.
• At least 8 years of practical experience as a data scientist, focusing on
  large-scale analytics
  projects within the
  Financial Services
  sector.
• Extensive expertise in leveraging
  artificial intelligence (AI)
  and machine learning techniques to improve business strategies, combined with industry insight.
• Skilled in programming languages such as
  Python and SAS,
  with experience in data manipulation, analysis,
  machine learning
  ,
  web scraping, and NLP.
• Strong ability to translate analytical insights into actionable business strategies that enhance value.
• Demonstrates a strong sense of ownership and a customer-oriented approach to ensure effective service delivery.
• Committed to continuous learning and passionate about keeping up with the latest developments in data science and machine learning.

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.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our security, transparency, performance, and digital-asset product portfolio. We leverage digital assets and blockchain to build an inclusive financial ecosystem and advance the freedom of money.

• Design and develop microservices architecture using Java Spring Boot, ensuring system performance, scalability, and reliability.
• Implement and manage microservices components such as service discovery, configuration management, and load balancing with Spring Cloud.
• Analyze, process, and explore data using big data technologies.
• Optimize and manage data storage and retrieval systems like ES/HBase/Starrocks, ensuring efficient data handling.
• Work closely with business stakeholders to understand requirements and deliver data solutions that align with business goals.
• Monitor, troubleshoot, and improve backend services to ensure smooth operation.
• Participate in the full development lifecycle, including requirements gathering, system design, coding, testing, and deployment.
• Maintain and enhance existing backend services, ensuring code quality and performance.
• Collaborate with cross-functional teams to integrate data solutions into existing applications.

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 8 years of professional experience in Java development, with a minimum of 3 years focused on Spring Boot microservices.
• Expertise in designing and implementing Java Spring-based microservices architecture, with experience in Spring Cloud.
• Hands-on experience with data development and big data technologies, including Hive, Spark and Flink.
• Familiar with and proficient in using components such as Apollo Configuration Center, Kafka Message Middleware, Xxl Job Scheduler, Pinpoint Link Tracking, and Prometheus Monitoring.
• Proficient in optimizing and managing large-scale databases and data processing workflows.
• Strong problem-solving skills, with a proven ability to troubleshoot and optimize backend services.
• Excellent communication and teamwork skills, with the ability to work in a cross-functional environment.
• Experience with CI/CD pipelines, such as Jenkins or GitLab CI, is a plus.
• Knowledge of cloud services like AWS or is a plus.
• Strong knowledge of financial or blockchain business models and processes, is a plus.

• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (may vary depending on the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

• Mid-Senior level

• Full-time

• Information Technology and Engineering

• Technology, Information and Internet

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our security, transparency, performance, and digital-asset product portfolio. We leverage digital assets and blockchain to build an inclusive financial ecosystem and advance the freedom of money.

• Design and develop microservices architecture using Java Spring Boot, ensuring system performance, scalability, and reliability.
• Implement and manage microservices components such as service discovery, configuration management, and load balancing with Spring Cloud.
• Analyze, process, and explore data using big data technologies.
• Optimize and manage data storage and retrieval systems like ES/HBase/Starrocks, ensuring efficient data handling.
• Work closely with business stakeholders to understand requirements and deliver data solutions that align with business goals.
• Monitor, troubleshoot, and improve backend services to ensure smooth operation.
• Participate in the full development lifecycle, including requirements gathering, system design, coding, testing, and deployment.
• Maintain and enhance existing backend services, ensuring code quality and performance.
• Collaborate with cross-functional teams to integrate data solutions into existing applications.

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 8 years of professional experience in Java development, with a minimum of 3 years focused on Spring Boot microservices.
• Expertise in designing and implementing Java Spring-based microservices architecture, with experience in Spring Cloud.
• Hands-on experience with data development and big data technologies, including Hive, Spark and Flink.
• Familiar with and proficient in using components such as Apollo Configuration Center, Kafka Message Middleware, Xxl Job Scheduler, Pinpoint Link Tracking, and Prometheus Monitoring.
• Proficient in optimizing and managing large-scale databases and data processing workflows.
• Strong problem-solving skills, with a proven ability to troubleshoot and optimize backend services.
• Excellent communication and teamwork skills, with the ability to work in a cross-functional environment.
• Experience with CI/CD pipelines, such as Jenkins or GitLab CI, is a plus.
• Knowledge of cloud services like AWS or is a plus.
• Strong knowledge of financial or blockchain business models and processes, is a plus.

• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (may vary depending on the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

• Mid-Senior level

• Full-time

• Information Technology and Engineering

• Technology, Information and Internet

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.