Responsibilities
JOB DESCRIPTION
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
