AI-Driven Data Analytics Lead – Wholesale Banking

ocbc; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

OCBC seeks a data analyst with AI domain knowledge to join the Global Wholesale Banking Data Analytics Team in Singapore. You will support BI, management reporting, dashboards, customer analytics, and campaign optimization while driving AI adoption across analytics lifecycle.

The role involves transforming traditional reporting into intelligent, scalable, self-service solutions using modern AI tech, automation, and advanced analytics.

Qualifications

• Degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or related disciplines.
• Experience in interactive dashboard design and development.
• Experience in programming (including scripting/coding), SQL and relational databases, and application development.
• Strong data extraction, mining and process automation capabilities, preferably with AI.
• Good knowledge of visual analytics capability.

Responsibilities

• Design, develop, and maintain interactive dashboards and reports for business users and senior management, implementing AI where appropriate.
• Deliver recurring management reports and ad hoc analytical studies with cross-functional stakeholders.
• Translate business requirements into scalable reporting and visualization solutions.
• Develop reusable reporting assets, templates, and analytical frameworks to improve productivity.
• Implement data initiatives and share best practices regionally through a build and transfer model.

Skills

Dashboard design

Scripting/coding

SQL

Relational databases

AI familiarity

Data visualization

Data extraction/mining

Process automation

Visual analytics

Education

Degree in Data Analytics/CS/IS/Statistics/Math/Engineering

Tools

SQL

Relational databases

Job description

OCBC seeks a data analyst with AI domain knowledge to join the Global Wholesale Banking Data Analytics Team in Singapore. You will support BI, management reporting, dashboards, customer analytics, and campaign optimization while driving AI adoption across analytics lifecycle.

The role involves transforming traditional reporting into intelligent, scalable, self-service solutions using modern AI tech, automation, and advanced analytics.