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Consulting - Business Consulting - Data Analytics - Manager - Hong Kong

Location:  Hong Kong
Other locations:  Primary Location Only
Salary: Competitive
Date:  12 Jun 2024

Job description

Requisition ID:  371667

Consulting – Business Consulting – Data & Analytics – Manager – Hong Kong


The opportunity

As the Data & Analytics team member you will be leading to grow advanced analytics and data science within the Enterprise Risk Consulting team in HK.  You will work with the broader DnA team to provide services utilising leading big data platforms and cloud technologies.  Our team is working on some of the latest technologies in the region using advanced analytics solutions such as AWS, Azure, Hortonworks, Cloudera etc. This is a varied role that will involve a broader scope to work collaboratively with our teams and clients in helping develop their ability to use and consume technologies and data, as part of the client project delivery. 


Your key responsibilities


  • Working with senior stakeholders (both internal and external) to understand their business requirements and apply the latest advanced analytics and data science to provide actionable insights
  • Participating sales pursuits and business development opportunities for advanced analytics work as well as supporting wider data and analytics projects and opportunities
  • Leading the design and development of advanced statistical models to facilitate effective predictive models and be able to clearly explain the model strengths and weaknesses to both technical and business stakeholders
  • Develop partnerships with solution providers and vendors in the formulation and implementation of services to our client

To qualify for the role, you must have

  • At least 6 years of solid experience in delivering advanced analytics/ EDW projects.  Past experience in a consulting environment is preferred.  Candidate with less experience would be considered for the Senior Consultant role
  • Experience in leading a team of data analysts / data scientists/ data engineers to successful project delivery
  • Degree in Computer Science, Mathematics, Economics, Business Analytics or relevant experience gained in quantitative analysis
  • Experience in articulating complex concepts in a clear and concise manner to a range of audiences from C-suite to specialist
  • Strong written and verbal communication, presentation, client service and technical writing skills in English and Chinese (Cantonese or Mandarin) for both technical and business audiences
  • Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
  • Exceptional communication, documentation and presentation skills
  • Strong skills in R / Python / Java / C++
  • Strong SQL skills

Ideally, you’ll also have

  • Detailed understanding on the latest AI techniques and tools and how they can be applied to deliver quantifiable business outcomes
  • Strong working knowledge on the mechanics of the underlying Machine Learning algorithms
  • Strong experience working with cloud platforms, e.g. Azure, AWS, Alibaba Cloud etc.
  • Working with data integration technologies such as Informatica, Datastage, SSIS, Nifi, Talend etc.
  • Demonstrable experience as either the sales lead or SME for advanced analytics business pursuits


What working at EY offers

  • Support and coaching from some of the most engaging colleagues around
  • Opportunities to develop new skills and progress your career
  • The freedom and flexibility to handle your role in a way that’s right for you



About EY

As a global leader in assurance, tax, transaction and consulting services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.


If you can confidently demonstrate thaft you meet the criteria above, please contact us as soon as possible.

Join us in building a better working world.


Apply now.

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