Data Analyst, Global Customer Value Management (1year contract) Moen
cigna
Kowloon, Hong Kong
6天前

Job Description :

  • Use a variety of data analysis tools to explore our existing datasets to uncover correlations, predictive metrics & other insights that uncover the factors that drive growth.
  • Build, own and manage modelling initiatives to drive marketing campaign results, including to deliver analytics applications for customer targeting, retention and recommendation.
  • Develop and automate pipelines, dashboards to communicate campaign growth metrics to stakeholders, both regularly and on an ad-hoc basis.
  • Assist in setting up data architect and synthetic data creation in cloud computing platform for project development and implementation.
  • Collaborate with offshore data engineer to ensure cross-countries data availability and usage.

  • Present business insights based on data driven findings; Present and illustrate technical details to management.
  • End to end project management, and model maintenance and documentation.
  • Requirement :

  • Degree or equivalent experience in Computer Science, Data Science, Statistics, Operations Research or any other quantitative discipline preferred.
  • 1 to 3 years work experience. Determination in working in a high data volume environment. Fresh graduate will also be considered.
  • Combination of analytical, technical savviness and business acumen. Good understanding of experimental approaches in Marketing Campaigns.
  • Solid programming skills, using Python, SAS, SQL.
  • Knowledge in machine learning, deep learning or data architecture.
  • Experience in Tableau, AWS, Linux, Git or Spark iterate is highly preferred.
  • Strong track of continuous learning desire and intellectual curiosity.
  • Strong spoken and written English. Able to interact and negotiate well with management / developer / architects / stakeholders in English dialogue.
  • For external applications, only candidates' direct application will be accepted

    Qualified applicants will be considered for employment without regard to age, race, color, religion, national origin, sex, sexual orientation, gender identity, disability, veteran status.

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