Data Analyst
Hong Kong, Hong Kong
source : EFinancialCareers Ltd


The role holder will focus on using Data & Analytics to drive business activities and outcomes that improve or transform :

  • Customer experience
  • Staff productivity
  • Business decision process
  • The role holder will have these activities :

  • Support one or more key activities described under Impact on the Business .
  • Contribute to assigned missions amongst the tribe(s).
  • Act as part of tribe operating across onshore and offshore units.
  • The role holder will be successful provided he / she :

  • Clearly understands the data and analytical requirements of the mission; even better if he / she understands the business context and requirements.
  • Proactively asks questions to improve his / her knowledge of the product, process, and business context.
  • Actively seeks to acquire or improve skills associated with his / her designated Discipline.
  • Actively seeks to learn how to conduct his / her work via the cloud platform and kits.
  • Requirements

  • Possess 1 to 4 years’ experience with specialization in one or more of these skills : business analytics, communications operations, contact planning, data science, data management, AI / ML engineering, cloud platform engineering, data governance, data visualization.
  • Good problem solving skills.
  • Strong communicator; Good interpersonal skills. Demonstrated experience in forming advisory’ relationships with senior managers.
  • Highly self-motivated, self-starter.
  • Strong team player; able to work members of different skills and experiences. Comfortable to operate in a complex matrix structure with multiple stakeholders.
  • Technical knowledge in one or more of : customer segmentation, digital marketing, data science, portfolio analytics, use of open-
  • source data in analyses, data engineering.

    Having these attributes would be advantageous :

  • Strong technical experience in process and analysis of large amount of data using one of these : Python, R, SQL or SAS.
  • Proficiency in Artificial Intelligence / Machine Learning algorithms; hands-on use of DataRobot or Sagemaker.
  • Having Bachelor degree in a one of these preferred disciplines : mathematics, computer science, data engineering, data science, analytics, statistics, econometrics, management information system, operations research
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