Data analyst - Private Banking (6 months)

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.