Senior Data Analytics Manager - IC

Classy Wheeler Limited
Hong Kong, HK
On-site

Job Description

Candidates with less experience will be considered as Data Analytics Manager.

Responsibilities

  • Formulate strategy in acquiring (structure and unstructured data), cleansing, analyzing and turning insights into business result
  • Gather requirements from key stakeholders to design, develop and improve Group CRM
  • Formulate use cases and drive the adoption of Group CRM
  • Develop segmentation, modeling and machine learning to drive cross-sell and up-sell initiatives
  • Develop visualization tool to improve insight transparency
  • Present customer insights and make recommendation to improve customer value
  • Support and equip the local analytics team with advanced analytical skills including data capture guidelines, analytical frameworks and CRM solutions

Job Requirements

  • University degree in Quantitative Analysis, Statistics, Mathematics, Information Management, computing or a related discipline
  • 3 - 5 years’ experience in advanced data analysis, customer segmentation and modeling
  • Strong analytical mind with good report writing skills, and able to transform data into actionable insights
  • Hands‑on experience in data mining using such as SQL, R and Python
  • Experienced in data visualization using Tableau, Power BI or Qlikview
  • Good understanding of CRM system, Campaign management system, data warehousing, advanced statistical analysis methods and data modeling techniques
  • Strong commitment in taking new challenges and self‑motivation
  • Good communication, analytical and project management skills
  • Proficiency in both English and Chinese

Skills & Requirements

Technical Skills

SqlRPythonTableauPower biQlikviewCrm systemCampaign management systemData warehousingAdvanced statistical analysis methodsData modeling techniquesCommunicationAnalyticalProject management

Level

senior

Posted

4/14/2026

Apply Now

You will be redirected to Classy Wheeler Limited's application portal.

Sign in and we'll score your resume against this role.