What Jobs are available for Analytics Manager in Hong Kong?

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

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

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 is responsible for HAECO Group data analytics by understanding business need on data, providing technical advice on data analytics to fulfil unmet need, as well as generating data insights through different analytics techniques, machine learning and artificial intelligence tools. He/She will be working closely with all HAECO business units and collaboratively with Group Digital and IT to build analytics tools and model, and drive data analytics initiatives to ensure HAECO's business values are realized.

What You'll Do

• Develop and implement databases, data collection systems, data analytics, data model and other strategies that optimize statistical efficiency, quality and comply with industry and HAECO standards
• Drive end to end execution of data analytics initiatives efficiently with completed and qualified data, and within project timeline
• Collaborate with business units, IT teams and internal team members effectively to ensure data are captured, understood, and translated for data analytics that balance cost, capability, performance, and time to market
• Apply the most appropriate analytics models and tools on the HAECO Enterprise Data Platform to ensure business decisions, process improvement opportunities being captured
• Ensure latest and cost-effective technologies be incorporated into HAECO analytics
• Make sound judgement to ensure a balance between data privacy and the business need for analytics, accuracy, and performance

What You'll Need

Functional and other Relevant Experience

• Over 8 years IT experience, with solid experience in solution design, project delivery and system integrations
• Proven experience of leading data analytics team to complete multidisciplinary projects
• Strong end user interview and negotiation skill to get detailed business requirements and use cases from major stakeholders
• Project coordination / management experience in delivering solutions using the Azure Data Analytics platform including Azure Databricks, Azure Data Factory, Azure Functions, Azure Storage, Azure SQL Database, Synapse Analytics, Azure Data Lake, Logic Apps
• Proven experience of Machine Learning models, Statistical models, models training and inference
• Solid experience in performing root cause analysis on internal and external data, and processes
• Working experience in aviation industry is an advantage

Qualifications and other Relevant Knowledge

• Bachelor's degree holder in Computer Science, Information Systems, Software Engineering, or related disciplines
• With Microsoft Azure Data Analytics, PowerBI, etc. certification is an advantage
• Fluent in English, Mandarin is an advantage

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.

Key Responsibilities:

• Platform Architecture:
  Oversee data architecture decisions for cloud data platforms and BI tool integration. Ensure that data pipelines, models, and reporting layers meet performance and scalability requirements.
• Project Delivery:
  Manage the full project lifecycle, including defining scope, milestones, and deliverables for enterprise data initiatives.
• Stakeholder Management:
  Act as the primary liaison between business stakeholders, technical teams, and external vendors to ensure alignment on priorities.
• Team Leadership:
  Lead a cross-functional team of data professionals, including engineers, analysts, and BI developers.

Qualifications:

• Degree in Information Systems, Computer Science, Engineering, or a related field.
• Proven experience managing data warehouse, BI, or data platform projects.
• Solid skills in SQL, ETL/ELT processes, and cloud infrastructure.
• Strong understanding of data modeling and modern reporting tools.
• Excellent stakeholder management and communication skills.

About SecondSwap

SecondSwap is the first decentralized marketplace for trading locked tokens and other hard-to-trade assets. From vesting allocations to tokenized real-world assets, we help move crypto
from Locked to Liquid
. Backed by leading L1 foundations and token issuers, SecondSwap is building the secondary markets that make token ecosystems healthier, more transparent, and more liquid.

Role Overview

We're hiring a
MarTech & Analytics Manager
to build and run the technology, integrations, and analytics stack that powers growth at SecondSwap. This role is equal parts
operator and analyst
: you'll maintain the website and tracking infrastructure, manage marketing automations, and deliver the insights that guide campaigns, cohorts, and wallet re-engagement.

You'll collaborate across Growth, Community, and Product to ensure every campaign is measurable, every wallet action is understood, and every re-engagement lever is supported by data.

Key Responsibilities

• Performance Tracking:
  Implement and maintain GA4 and GTM event tracking across campaigns, website, and community channels.
• Website Maintenance:
  Manage and update Webflow site content in alignment with product and marketing needs.
• Technology & Integrations:
  Oversee CRM and comms integrations (SendPulse, email flows, Telegram bots) and connect them to analytics and reporting pipelines.
• Tooling & Automations:
  Build automations for onboarding, lifecycle messaging, and campaign execution.
• Analytics & Reporting:
  Deliver dashboards and insights that combine Web2 (GA4, CRM) and Web3-native data (wallet activity, trading cohorts).

Key Outputs

• Campaign performance reports with clear next steps.
• User cohort analysis (issuers, traders, ambassadors) mapped to lifecycle stages.
• Wallet segmentation for re-engagement campaigns (inactive users, one-time bidders, power traders).
• Regular reporting on acquisition, activation, retention, and trading activity.

Skills & Requirements

• Web & Analytics Tools:
  Hands-on experience with
  Webflow, GA4, GTM
  .
• CRM & Automations:
  Skilled in
  SendPulse
  or similar CRM/email platforms; experience with automation tools like Make/Zapier a plus.
• Web3 Analytics:
  Experience with Web3-native analytics (e.g., Dune, Nansen, Flipside, DappRadar) strongly valued.
• Data Analysis:
  Able to segment users, define cohorts, and tie wallet activity directly to campaign results.
• Systems Thinker:
  Comfortable integrating Web2 and Web3 data sources into one view of performance.
• Collaboration:
  Works across Growth, Community, and Product to keep reporting actionable.
• Languages:
  English required; proficiency in Mandarin or Korean will be considered an advantage for engaging specific user communities.

Why Join

• Build the martech and analytics engine of a category-defining DeFi marketplace.
• Turn campaign and wallet data into real insights that drive growth.
• Shape how SecondSwap measures success as it helps crypto move
  from Locked to Liquid
  .

Job description

Some careers have more impact than others.

If you're looking for a career where you can make a real impression, join Hang Seng and discover how valued you'll be. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, Hang Seng offers opportunities, support and rewards that will take you further.

Commercial Banking –Chief Operating Officer's Office

Hang Seng's Commercial Banking (CMB) business provides customized one-stop financial solutions to our corporate customers, from prime small and medium-sized businesses to publicly listed companies.

For customers conducting business locally or around the world, we offer a comprehensive range of services including corporate lending, trade and receivables finance, structured loan, cash management, investment, treasury services, insurance and e-Banking services. As a reliable financial partner, we attend to the specific business needs of our customers and provide efficient tailor-made banking solutions through our relationship managers and dedicated specialists.

We are currently seeking a high caliber professional to join our team as Business Analytics Manager for Advanced Analytics & Modeling team.

Principal responsibilities

• Develop advanced analytics solutions, mathematical/statistical models and predictive models using latest machine learning, deep learning techniques, and unstructured data mining algorithms
• Design and deliver long term solutions for Business Growth and improved Risk & Control by adapting Big data technologies and leveraging existing analytical and computing techniques
• Formulate analytics roadmap to deliver data analytics on product & customer acquisitions, customer segmentation, digital journeys, channel behaviors and risk control areas
• Ideate innovative ways to streamline processes and achieve higher operating efficiency for the bank through integration of GenAI technologies
• Conduct experiments and proof of concepts to validate business ideas and potential value generation
• Drive cross team initiatives and collaboration across Business Units and wider teams within the organization to enable "best-in-class" solution deployment
• Support the Model Governance requirements as prescribed by HSBC Group Model Risk Policies & Standards for all new and existing models

Requirements

• University degree in Quantitative Analysis, statistics, computing or a related discipline
• Proven experience in data analysis, statistical or Machine Learning (ML) modeling, or data/text mining
• Banking experience and knowledge in commercial or digital banking is preferred
• Hands-on experience with Python(Strong grip on NumPy), R, SQL/ Big Query and Strong Excel with VBA is preferred
• Prior hands-on experience of selecting features, building and tuning classifier models leveraging ML would be a plus
• Knowledge on Tableau and experience in working on GCP/ Azure platform is an added advantage
• Any experience in dealing ML Model Governance is an added advantage
• Good presentation and communication skill to explain analytical results & methodologies to non-technical stakeholders
• A team player with great sense of ownership, responsibility and servicing mindset to ensure efficient and effective customer need identification and delivery of superior customer experience
• Strong commitment in taking new challenges, self-motivation & perseverance, and creativity & innovation
• Proficiency in both English and Chinese
• Professional qualifications such as Enhanced Competency Framework (ECF) and/or Certified Banker (CB) under Hong Kong Institute of Bankers (HKIB) would be an advantage

You'll achieve more when you join Hang Seng Bank Limited.

Hang Seng is committed to service excellence. Our people are our most important asset and play a vital role in our efforts to continually enhance our performance for customers and provide best-in-class products and services. We seek to attract high-calibre talent by offering a dynamic working environment, good career development opportunities and competitive compensation packages.

Issued by Hang Seng Bank Limited

We are seeking a data-driven and technically skilled CRM Manager to lead our customer relationship strategy across the region. This role is pivotal in transforming customer data into actionable insights that drive engagement, loyalty, and revenue. You will work closely with cross-functional teams to optimize CRM systems, analyze customer behavior, and deliver strategic recommendations that elevate the brand experience.

• Own and manage the CRM platform, ensuring data integrity, segmentation accuracy, and system optimization.
• Analyze customer data to uncover trends, behaviors, and opportunities for personalization and retention.
• Develop dashboards and reports to monitor campaign performance, customer lifecycle, and segmentation effectiveness.
• Collaborate with marketing and retail teams to translate insights into targeted campaigns and clienteling strategies.
• Recommend improvements to CRM workflows, automation, and data capture processes.
• Lead A/B testing and performance analysis to refine CRM tactics and drive ROI.
• Ensure compliance with data privacy regulations and internal governance standards.

• 5+ years of experience in CRM, data analytics, or customer insights, ideally within luxury retail or fashion.
• Strong proficiency in CRM platforms (e.g., Salesforce, SAP, Adobe Campaign) and data tools (e.g., SQL, Tableau, Power BI).
• Analytical mindset with the ability to translate complex data into clear business recommendations.
• Experience working with customer segmentation, predictive modeling, and campaign tracking.
• Excellent communication skills and stakeholder management across technical and non-technical teams.