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Data Engineer/Analyst - CRM (Luxury Retail)

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We are seeking a highly motivated and detail-oriented Data Engineer / Data Analyst to join our growing analytics team

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL workflows to support CRM and customer analytics initiatives.
  • Conduct in-depth analysis of customer behavior, segmentation strategies, and campaign performance using CRM datasets.
  • Partner with marketing, sales, and IT stakeholders to turn business requirements into actionable, data-driven solutions.
  • Create interactive dashboards and reports to track KPIs and support strategic decision-making.
  • Ensure data accuracy, quality, and compliance with internal data governance and security standards.
  • Support A/B testing and customer journey analytics to optimize marketing efforts and customer experience.
  • Manage and integrate large-scale datasets from various sources including POS systems, e-commerce platforms, and customer loyalty programs.

Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
  • 2–4 years of experience in a data engineering or data analyst role.
  • Hands-on experience with CRM platforms such as Salesforce, Adobe Campaign, or HubSpot.
  • Strong proficiency in SQL and experience with data visualization tools (e.g., Power BI, Tableau).
  • Familiarity with Python, R, or other analytical tools is a plus.
  • Previous experience in the retail industry or working with customer data is highly desirable.
  • Strong analytical and problem-solving skills, with close attention to detail.
  • Excellent communication and cross-functional collaboration skills.
  • Mandarin proficiency is a plus, especially for working with regional teams or external vendors.

Contract Type: TEMPORARY

Specialism: Tech & Transformation

Focus: Business Intelligence, AI, Data Analytics & Data Science

Industry: IT

Salary: Negotiable

Workplace Type: Hybrid

Experience Level: Associate

Location: Hong Kong

Job Reference: HR8KWN-013B3E76

Date posted: 20 June 2025

Consultant: Jennie Jiang