Business Data Analyst SG

Role overview

CIMB Singapore is hiring a Business Data Analyst to drive advanced analytics across product and customer data. The role focuses on uncovering patterns and actionable insights that support business strategy, improve customer experience, and strengthen product and revenue performance.

Core responsibilities

• Analyze product and customer datasets to identify trends, patterns, and business opportunities that can guide decision-making.
• Create and maintain dashboards, reports, and performance metrics related to customer behavior and product outcomes.
• Run A/B experiments, customer segmentation exercises, and cohort studies to refine product features and customer journeys.
• Apply statistical and predictive models to estimate product demand and customer behavior, while highlighting opportunities for cross-sell, up-sell, revenue growth, and operational improvement.
• Explain the full data lifecycle, from data ingestion across multiple systems to the delivery of data-led strategies and ongoing portfolio monitoring.
• Deliver analytics work across descriptive, inferential, prescriptive, and advanced methods, including machine learning solutions where needed, and translate findings into business strategies with impact assessment and implementation oversight.
• Support process improvement, automation, and the design and setup of DataMart architecture.
• Lead campaign and leads management activities, including campaign planning, data execution, performance tracking, and lead base management for SG Consumer Banking.
• Ensure business teams receive support with turnaround time, data quality, and advanced analytics during marketing campaign execution.
• Partner with product managers, marketing teams, and segment managers to understand analytical needs and support informed decisions.
• Present findings clearly to stakeholders and offer recommendations that improve business results, customer experience, and product impact.
• Keep abreast of developments, best practices, and regulatory changes in banking and wealth management to spot innovation and competitive advantages.

Requirements

• Bachelor’s degree in Data Science, Data Analytics, Business Analytics, Statistics, or a closely related discipline; a Master’s degree is preferred, and Master’s/PhD qualifications are also preferred.
• At least 5 years of experience in product analytics or customer analytics.
• Strong hands-on experience with analytics tools such as SQL, Python, and R, along with visualization platforms like Tableau and Power BI.
• Understanding of Consumer Banking products such as deposits, wealth management, loans, cards, and customer segmentation concepts.
• Solid grounding in statistical modeling, A/B testing, customer segmentation, and lifecycle analysis.
• Ability to collaborate effectively across functions and manage several priorities in a fast-moving environment.
• Knowledge of banking-sector regulatory expectations and compliance standards is an advantage.
• Strong communication and presentation ability, with the confidence to explain complex insights to non-technical audiences.
• Working knowledge of SAS, SQL, Python, R programming, and MS Excel.
• Proficiency in business intelligence tools, especially Tableau.
• Comfortable solving problems quickly and efficiently.

Additional information

This position is based in Singapore and is a full-time onsite role.

The vacancy details, salary, and start date were not specified in the source information.

No internship duration or immediate start arrangement was provided.