Job Description

Responsibilities:

Design, Build and Maintain Consumer Banking SG Datamart

• Design, build, and maintain the Consumer Banking SG datamart to ensure data accuracy, availability, and consistency.
• Document data catalog for easy reference.
• Be able to perform process optimization and automation, datamart architecture design.

Data Analysis and Insight Generation

• Perform data extraction, cleaning, and analysis to support business insights and decision-making.
• Analyze data to identify trends and patterns, and provide insights to support strategic initiatives.
• Generate regular and ad-hoc reports to track performance metrics and business outcomes.
• Collaborate with cross-functional teams to gather data requirements and provide analytical support.

Management Reporting and Dashboarding

• Create and maintain dashboards to monitor key performance indicators (KPIs) and metrics.
• Automate reporting processes to improve efficiency and accuracy.
• Prepare management reports that highlight performance trends and business outcomes.

Decision Support and Business Collaboration

• Work closely with stakeholders to understand their data needs and provide tailored analytical solutions.
• Assist in building data-driven business cases to support strategic initiatives.
• Support decision-making by translating data findings into practical recommendations.
• Contribute to the development and improvement of data processes and reporting frameworks.

Innovation and Best Practices

• Stay updated on industry trends, best practices, and regulatory changes in the banking and wealth management sectors to identify opportunities for innovation and competitive advantage.

Requirements:

Qualifications

• Bachelor’s degree in Data Science, Data Analytics, Business Analytics, Statistics or related field; Master’s degree preferred
• 3+ years of data analytics experience
• Proven expertise in analytics tools (e.g., SQL, Python, R) and visualization platforms (e.g., Tableau, Power BI)

Relevant Work Experience

• Minimum 3 years of relevant experience in data analytics
• Strong analytical skills and good knowledge of the banking industry, especially in Consumer Business area
• Ability to work collaboratively in cross-functional teams and manage multiple priorities in a dynamic environment
• Knowledge of regulatory requirements and industry compliance standards in the banking sector is preferred
• Excellent communication and presentation skills to effectively convey complex data insights to non-technical stakeholders

Competencies/Skills

• Proficient in SAS, SQL, Python, R Programming and MS Excel
• Proficient in Business Intelligence tools (Tableau)
• Must be able to solve problem quickly and efficiently
• Strong analytical and communication skills