jobs in MAYBANK SINGAPORE LIMITED

MAYBANK SINGAPORE LIMITED Hiring! Full Time Analyst in , Earn up to SGD 5,500 - Ricebowl

Analyst

MAYBANK SINGAPORE LIMITED

SGD3,500 - SGD5,500 Per Month

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

The Analyst plays a key role in driving customer-centric insights through advanced data analytics and visualisation. The role focuses on analysing customer behaviour, cross-selling performance, acquisition and attrition trends, translating complex datasets into clear, intuitive dashboards and insights that support business growth, customer strategy, and management decision-making.

Key Responsibilities:

  • Analyse customer behaviour, segmentation, product-holding and portfolio trends to generate actionable insights that support customer strategy, acquisition, retention, and profitability.
  • Develop, enhance, and maintain high-impact data visualisations, dashboards, and self-service analytics for senior management and business users.
  • Translate complex datasets into clear, compelling visual narratives that highlight key trends, risks, and opportunities.
  • Ensure accurate and timely delivery of business and management reports.
  • Partner closely with Business and Product teams to deliver customer and product performance analytics, including product-bundling patterns, attrition drivers, and retention strategies.
  • Collaborate closely with business teams to drive projects involving building and analysing datasets which are robust and efficient for use.
  • Contribute to automation and standardisation of customer analytics and reporting processes to improve efficiency and scalability.
  • Ensure data accuracy, integrity, and consistency across customer analytics and reporting outputs.

Qualifications & Experience:

• Bachelor’s degree in Data Analytics, Finance, Business, Computer Science, Information Systems, or other quantitative-related disciplines.• Strong understanding of customer analytics and insights, marketing analytics and performance measurement.

  • Hands-on experience in database management and data analysis, with exposure to analytical and programming tools such as SAS, Python, SQL, or equivalent.
  • Proven expertise in data visualisation and BI tools—such as Power BI, Oracle Analytics, or similar platforms—with a strong emphasis on designing, developing, and optimising interactive dashboards to support business decision-making and performance monitoring.

Key Competencies & Attributes:

• Strong analytical and problem-solving skills, with attention to detail and data accuracy.• Proactive, innovative, and solution-oriented mindset in addressing business and data challenges.

• Excellent verbal and written communication skills, with the ability to translate complex data into clear insights.• Ability to work independently as well as collaboratively across cross-functional teams.

• Strong stakeholder management skills, with the confidence to engage business and senior management.• Self-driven, resilient, and able to perform effectively under tight timelines and work pressures.

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