Data Analytics Manager

Date:  13 Jan 2025
Location: 

Airport area, HK

Company:  Hong Kong Aircraft Engineering Company Limited

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
  • 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.

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