Business Data Analyst SG

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 
• Proven expertise in analytics tools (e.g., SQL, Python, R) and visualization platforms (e.g., Tableau, Power BI)

Relevant Work Experience 

• Minimally 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