What Jobs are available for Test Data Analysis 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)

The HAECO Group is an independent global provider of high-quality MRO services. We offer a broad range of aviation products and services that enable our customers to operate their aircraft, engines and components safely and efficiently. Headquartered in Hong Kong since 1950, our global reach has extended as we have grown. We now have operations throughout the Asia-Pacific region, Americas and other parts of the world.

Based at Hong Kong International Airport (HKIA), HAECO Hong Kong offer a full range of services including airframe services, line services, component services, engine services, inventory technical management, cabin solutions, freighter conversions, technical training and AOG support.

The Data Analytics Manager leads HAECO Group's data analytics initiatives by translating business needs into actionable insights and innovative solutions. This role provides expert guidance on data analytics, leveraging advanced techniques such as machine learning and artificial intelligence to address complex challenges and uncover new opportunities. Working in close partnership with all HAECO business units, as well as Group Digital and IT, the Data Analytics Manager ensures that data-driven strategies are effectively implemented to maximize business value. Through collaboration, technical leadership, and a focus on continuous improvement, this position is instrumental in driving HAECO's digital transformation and maintaining a competitive edge in the aviation industry.

What You'll Do

• Identify and translate HAECO Group's business needs into effective data analytics solutions that balance cost, capability, performance, and speed to market.
• Develop and maintain the HAECO Enterprise Data Platform, ensuring it is equipped with robust analytics models and tools to support business decision-making and drive process improvements.
• Ensure all data models are developed in compliance with industry and HAECO standards.
• Oversee the efficient implementation of analytics projects, ensuring data completeness, quality, and timely delivery.
• Continuously evaluate and integrate the latest, most cost-effective technologies into HAECO's analytics ecosystem.
• Foster clear and timely communication with business units, IT teams, and internal stakeholders to ensure alignment and transparency.
• Maintain a strong balance between data privacy requirements and the organization's need for accurate, high-performing analytics.

What You'll Need

1. Functional and other Relevant Experience

• Over 8 years of IT experience, with a strong background in solution design, project delivery, and system integration
• Proven ability to develop solutions and make sound decisions for a team with minimal supervision
• DeSkilled in performing root cause analysis on both internal and external data and processes to answer business questions and identify improvement opportunities
• Hands-on experience architecting and delivering solutions using the Azure Data Analytics platform, including Azure Databricks, Data Factory,
• Functions, Storage, SQL Database, Synapse Analytics, Data Lake, and Logic Apps (preferred)
• Experience in the aviation industry is an advantage
• Experience with Microsoft GPT, Qwen, Llama, or similar platforms in custom AI agent development is a plusmonstrated experience in leading teams, including effective coaching and mentoring.

2. Qualifications and other Relevant Knowledge

• Possess a bachelor's degree in computer science, Information Systems, Software Engineering, or a related discipline.
• Certification in Microsoft Azure Data Analytics, PowerBI, or similar technologies is considered an asset.
• Demonstrated ability to perform effectively under pressure and proactively address challenges.
• Strong team player with outstanding interpersonal and communication skills, both verbal and written.
• Self-motivated individual able to work independently with minimal supervision and deliver projects from inception.
• Highly passionate about emerging technologies, motivated, and demonstrates rapid learning capability.

HAECO Group is an equal opportunity employer. At HAECO, we are committed to creating an inclusive and supportive working environment for all our people regardless of their age, gender, gender identity, sexual orientation, relationship, family status, disability, race, ethnicity, nationality, religious or political beliefs. We believe in creating an environment where people feel comfortable at work and are able to realise their full potential.

Build your career with us and be part of something bigger at HAECO

Reference ID: 204

Candidates not contacted 4-6 weeks after submission of applications and/or interviews may consider their application unsuccessful.

All information provided by candidates will be treated in strict confidence and will be used for employment purpose only.

Established in Hong Kong in 1950, HAECO is one of the world's leading independent aircraft engineering and maintenance groups. It is also one of the largest Maintenance, Repair and Overhaul (MRO) service providers in terms of capacity. Through its 16 operating companies around the world, the Group offers a full spectrum of services including airframe services, line services, component services, engine services, inventory technical management, fleet technical management, cabin solutions, private jet solutions, freighter conversion, parts manufacturing and technical training.

港機集團於1950年在香港成立,是全球領先的獨立飛機工程集團,也是規模最大的飛機維修、修理及大修服務供應商之一。集團透過遍佈世界各地的16間營運公司,為航空公司客戶提供全面的飛機工程服務。港機集團的服務範圍包括機身服務、外勤服務、部件服務、發動機服務、航材技術管理、機隊技術管理、客艙設計整裝方案、 私人飛機設計整裝方案、客改貨、零部件製造及技術培訓。

The HAECO Group is an independent global provider of high-quality MRO services. We offer a broad range of aviation products and services that enable our customers to operate their aircraft, engines and components safely and efficiently. Headquartered in Hong Kong since 1950, our global reach has extended as we have grown. We now have operations throughout the Asia-Pacific region, Americas and other parts of the world.

Based at Hong Kong International Airport (HKIA), HAECO Hong Kong offer a full range of services including airframe services, line services, component services, engine services, inventory technical management, cabin solutions, freighter conversions, technical training and AOG support.

Position Description

The Data Analytics Manager leads HAECO Group's data analytics initiatives by translating business needs into actionable insights and innovative solutions. This role provides expert guidance on data analytics, leveraging advanced techniques such as machine learning and artificial intelligence to address complex challenges and uncover new opportunities. Working in close partnership with all HAECO business units, as well as Group Digital and IT, the Data Analytics Manager ensures that data-driven strategies are effectively implemented to maximize business value. Through collaboration, technical leadership, and a focus on continuous improvement, this position is instrumental in driving HAECO's digital transformation and maintaining a competitive edge in the aviation industry.

What You'll Do

Identify and translate HAECO Group's business needs into effective data analytics solutions that balance cost, capability, performance, and speed to market.

Develop and maintain the HAECO Enterprise Data Platform, ensuring it is equipped with robust analytics models and tools to support business decision-making and drive process improvements.

Ensure all data models are developed in compliance with industry and HAECO standards.

Oversee the efficient implementation of analytics projects, ensuring data completeness, quality, and timely delivery.

Continuously evaluate and integrate the latest, most cost-effective technologies into HAECO's analytics ecosystem.

Foster clear and timely communication with business units, IT teams, and internal stakeholders to ensure alignment and transparency.

Maintain a strong balance between data privacy requirements and the organization's need for accurate, high-performing analytics.

What You'll Need

1. Functional and other Relevant Experience

Over 8 years of IT experience, with a strong background in solution design, project delivery, and system integration

Proven ability to develop solutions and make sound decisions for a team with minimal supervision

DeSkilled in performing root cause analysis on both internal and external data and processes to answer business questions and identify improvement opportunities

Hands-on experience architecting and delivering solutions using the Azure Data Analytics platform, including Azure Databricks, Data Factory,

Functions, Storage, SQL Database, Synapse Analytics, Data Lake, and Logic Apps (preferred)

Experience in the aviation industry is an advantage

Experience with Microsoft GPT, Qwen, Llama, or similar platforms in custom AI agent development is a plusmonstrated experience in leading teams, including effective coaching and mentoring.

1. Qualifications and other Relevant Knowledge

Possess a bachelor's degree in computer science, Information Systems, Software Engineering, or a related discipline.

Certification in Microsoft Azure Data Analytics, PowerBI, or similar technologies is considered an asset.

Demonstrated ability to perform effectively under pressure and proactively address challenges.

Strong team player with outstanding interpersonal and communication skills, both verbal and written.

Self-motivated individual able to work independently with minimal supervision and deliver projects from inception.

Highly passionate about emerging technologies, motivated, and demonstrates rapid learning capability.

HAECO Group is an equal opportunity employer. At HAECO, we are committed to creating an inclusive and supportive working environment for all our people regardless of their age, gender, gender identity, sexual orientation, relationship, family status, disability, race, ethnicity, nationality, religious or political beliefs. We believe in creating an environment where people feel comfortable at work and are able to realise their full potential.

Build your career with us and be part of something bigger at HAECO

Reference ID: 204

Candidates not contacted 4-6 weeks after submission of applications and/or interviews may consider their application unsuccessful.

All information provided by candidates will be treated in strict confidence and will be used for employment purpose only.

Full-time

Job description:

The HAECO Group is an independent global provider of high-quality MRO services. We offer a broad range of aviation products and services that enable our customers to operate their aircraft, engines and components safely and efficiently. Headquartered in Hong Kong since 1950, our global reach has extended as we have grown. We now have operations throughout the Asia-Pacific region, Americas and other parts of the world.

Based at Hong Kong International Airport (HKIA), HAECO Hong Kong offer a full range of services including airframe services, line services, component services, engine services, inventory technical management, cabin solutions, freighter conversions, technical training and AOG support.

Position Description

The Data Analytics Manager leads HAECO Group's data analytics initiatives by translating business needs into actionable insights and innovative solutions. This role provides expert guidance on data analytics, leveraging advanced techniques such as machine learning and artificial intelligence to address complex challenges and uncover new opportunities. Working in close partnership with all HAECO business units, as well as Group Digital and IT, the Data Analytics Manager ensures that data-driven strategies are effectively implemented to maximize business value. Through collaboration, technical leadership, and a focus on continuous improvement, this position is instrumental in driving HAECO's digital transformation and maintaining a competitive edge in the aviation industry.

What You'll Do

• Identify and translate HAECO Group's business needs into effective data analytics solutions that balance cost, capability, performance, and speed to market.
• Develop and maintain the HAECO Enterprise Data Platform, ensuring it is equipped with robust analytics models and tools to support business decision-making and drive process improvements.
• Ensure all data models are developed in compliance with industry and HAECO standards.
• Oversee the efficient implementation of analytics projects, ensuring data completeness, quality, and timely delivery.
• Continuously evaluate and integrate the latest, most cost-effective technologies into HAECO's analytics ecosystem.
• Foster clear and timely communication with business units, IT teams, and internal stakeholders to ensure alignment and transparency.
• Maintain a strong balance between data privacy requirements and the organization's need for accurate, high-performing analytics.

What You'll Need

1. Functional and other Relevant Experience

• Over 8 years of IT experience, with a strong background in solution design, project delivery, and system integration
• Proven ability to develop solutions and make sound decisions for a team with minimal supervision
• DeSkilled in performing root cause analysis on both internal and external data and processes to answer business questions and identify improvement opportunities
• Hands-on experience architecting and delivering solutions using the Azure Data Analytics platform, including Azure Databricks, Data Factory,
• Functions, Storage, SQL Database, Synapse Analytics, Data Lake, and Logic Apps (preferred)
• Experience in the aviation industry is an advantage
• Experience with Microsoft GPT, Qwen, Llama, or similar platforms in custom AI agent development is a plusmonstrated experience in leading teams, including effective coaching and mentoring.

2. Qualifications and other Relevant Knowledge

• Possess a bachelor's degree in computer science, Information Systems, Software Engineering, or a related discipline.
• Certification in Microsoft Azure Data Analytics, PowerBI, or similar technologies is considered an asset.
• Demonstrated ability to perform effectively under pressure and proactively address challenges.
• Strong team player with outstanding interpersonal and communication skills, both verbal and written.
• Self-motivated individual able to work independently with minimal supervision and deliver projects from inception.
• Highly passionate about emerging technologies, motivated, and demonstrates rapid learning capability.

HAECO Group is an equal opportunity employer. At HAECO, we are committed to creating an inclusive and supportive working environment for all our people regardless of their age, gender, gender identity, sexual orientation, relationship, family status, disability, race, ethnicity, nationality, religious or political beliefs. We believe in creating an environment where people feel comfortable at work and are able to realise their full potential.

Build your career with us and be part of something bigger at HAECO

Reference ID: 204

Candidates not contacted 4-6 weeks after submission of applications and/or interviews may consider their application unsuccessful.

All information provided by candidates will be treated in strict confidence and will be used for employment purpose only.

My client, an enterprise in Hong Kong, is urgently looking for a Data Analytics Manager to join their internal team and lead the organization's data analytics initiatives by transforming business needs into actionable insights and innovative solutions.

Key Responsibilities

• Identify and translate business needs into effective data analytics solutions that balance cost, capability, performance, and time to market.
• Develop and maintain the enterprise data platform, ensuring it supports robust analytics models and tools to enhance decision-making and process efficiency.
• Ensure all data models are designed and implemented in compliance with industry and organizational standards.
• Oversee the efficient execution of analytics projects, maintaining data completeness, quality, and timely delivery.
• Continuously assess and integrate the latest, most cost-effective technologies into the organization's analytics ecosystem.
• Foster clear, timely communication with business units, IT, and internal stakeholders to ensure transparency and alignment.
• Maintain a balance between data privacy requirements and the organization's need for accurate, high-performing analytics.

Qualifications and Experience

• Over 8 years of IT experience with a strong background in solution design, project delivery, and system integration.
• Proven ability to develop and deliver effective solutions with minimal supervision.
• Skilled in performing root cause analysis on data and processes to identify business improvement opportunities.
• Hands-on experience architecting and implementing solutions using the Azure Data Analytics platform, including Azure Databricks, Data Factory, Functions, Storage, SQL Database, Synapse Analytics, Data Lake, and Logic Apps (preferred).
• Experience in the aviation or related industries is an advantage.
• Exposure to Microsoft GPT, Qwen, Llama, or similar platforms for custom AI agent development is a plus.
• Demonstrated experience in team leadership, coaching, and mentoring.

This role is perfect for a data-driven professional eager to be part of a forward-thinking environment. If you are ready to take the next step in your career and make a meaningful impact, please send your CV to or call on

JOB DESCRIPTION

Join a global team where your expertise in data, analytics, and artificial intelligence will drive responsible innovation in the Commercial and Investment Bank. Collaborate with business leaders and technologists to deliver impactful legal solutions. Experience a culture that values diverse perspectives and empowers you to make a difference. Grow your career while helping us navigate the evolving landscape of technology and regulation.

As the Innovation, Data, Analytics & Artificial Intelligence Attorney – Vice President, Senior Counsel in the APAC Legal team for the Commercial and Investment Bank, you will provide strategic legal guidance to foster the growth and enhancement of data, analytics, and AI products and services. You will collaborate with business partners across APAC and globally, assisting in the negotiation of complex agreements and offering advice on market expansion. You become part of a supportive team dedicated to integrity, inclusivity, and excellence, where your efforts contribute to business success and responsible innovation.

Job Responsibilities

• Advise on drafting and negotiating client- and customer-facing contracts for data, analytics, and AI products and services
• Provide day-to-day legal counsel to internal clients and partners on the development, implementation, and maintenance of technology products
• Collaborate with business teams and colleagues in Legal, Risk, Compliance, and other control functions to resolve complex legal issues
• Advise internal clients on legal, regulatory, and market developments in the data, analytics, and AI industries
• Support business initiatives related to product launches and market expansion in APAC and other regions
• Manage multiple legal matters and prioritize workflow in a fast-paced, multi-jurisdictional environment
• Develop and maintain strong relationships with internal partners across supported businesses
• Ensure compliance with relevant licensing requirements for the jurisdiction
• Contribute to a culture of integrity, inclusivity, and excellence within the legal team

Required Qualifications, Capabilities, and Skills

• Qualified lawyer with minimum 6 years of legal experience
• Demonstrated experience practicing with a law firm, financial institution, or technology company
• Strong analytical, drafting, negotiating, and commercial skills
• Knowledge of intellectual property, data management, artificial intelligence, or analytics, or related corporate transactional or litigation experience with transferrable skills
• Ability to prioritize work and manage multiple issues simultaneously
• Effective problem-solving, organizational, and project management skills
• Excellent written and oral communication skills
• Ability to interact effectively with senior management
• Compliance with relevant licensing requirements for the jurisdiction

Preferred Qualifications, Capabilities, and Skills

• Experience at a top-tier law firm and in-house in financial services
• Experience managing legal matters for institutional clients
• Familiarity with regulatory and dispute resolution processes
• Track record of supporting product launches and market expansions
• Experience advising on legal matters in APAC markets
• Professional qualifications attained from reputable training institutes or professional bodies

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

With large, global operations, the Legal team tackles complex issues and helps shape the regulations that affect the businesses. The group is organized into practice groups that align with the lines of business and corporate staff areas, which encourages collaboration on legal, regulatory and business developments as they arise.

Key Responsibilities:

• Design and implement robust ETL/ELT pipelines to ingest, transform, and load data from various sources.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality datasets.
• Develop and maintain data models, dashboards, and reporting tools to support business intelligence initiatives.
• Ensure data quality, integrity, and governance across all analytics platforms.
• Optimize data workflows for performance, scalability, and reliability.
• Monitor and troubleshoot data pipeline issues and implement proactive solutions.
• Stay current with emerging technologies and best practices in data engineering and analytics.

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 3+ years of experience in data engineering, analytics, or a similar role.
• Proficiency in SQL and Python (or other scripting languages).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, BigQuery, Redshift).
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker).
• Strong understanding of data architecture, data modeling, and data governance principles.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

• Experience with orchestration tools (e.g., Airflow, Prefect).
• Knowledge of machine learning workflows and integration with analytics pipelines.
• Familiarity with CI/CD practices and version control (e.g., Git).
• Experience working in Agile environments.

If you are interested in this opportunity, please send your CV to

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.

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