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Data analyst - Private Banking (6 months)

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My client is a reputable MNC bank and they are looking for a data analyst to join their data team.

Responsibilities

  • Conduct in-depth analysis of large datasets using advanced statistical methods to assess campaign effectiveness and support optimization through swap-in/swap-out strategies.
  • Collaborate closely with Private Banking digital and product teams to design and refine personalized nudges aimed at achieving business objectives such as portfolio management, relationship deepening, customer acquisition, and retention.
  • Optimize and automate internal workflows to ensure efficient, accurate, and scalable campaign generation and monitoring processes.
  • Provide support for User Acceptance Testing (UAT) in project and transformation initiatives.

Requirements

  • Minimum of 2 years’ experience in data analytics, business analysis, or campaign management within a large-scale consumer banking or financial services environment.
  • Bachelor’s degree in Mathematics, Statistics, Business Analytics, Information Systems, Computer Science, or a related field.
  • Proficient in Python and SQL; familiarity with big data tools such as Hadoop and Spark is an advantage.
  • Strong analytical skills with the ability to interpret complex business and financial data.
  • Experience in developing dashboards using Qlik Sense or similar data visualization tools is preferred.
  • Prior experience in campaign management and execution is a plus.

Contract Type: TEMPORARY

Specialism: Tech & Transformation

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

Industry: Financial Services

Salary: Negotiable

Workplace Type: Hybrid

Experience Level: Associate

Location: Hong Kong

Job Reference: 4URAFM-A2763BEC

Date posted: 9 June 2025

Consultant: Jennie Jiang