AVP/SA, Data Analyst, Ops Data Chapter, Transformation & Data, Group COO

AVP/SA, Data Analyst, Ops Data Chapter, Transformation & Data, Group COO-(WD77109)

Business Function

Ops Data Chapter is committed to building maximising key data and analytical capabilities to transform operations.

Data empowers our everyday operations and through a strategic focus across operations automation, service management, quality & control checks, and customer / employee experience, we aim to enable an AI Fuelled Operation function.

About the Role

Make your mark by helping us enable ops to create experiences that matters to our employees and customers, through embedding data and analytics pervasively through operations.

In your role as a Data Analyst, you will lead and partner Ops strategically in this journey.

Your focus will be on ensuring we break new grounds sustainably and create economic impact within Ops.

This will require key partnerships across business, technology, transformation and data chapter teams.

Responsibilities:

Strategic delivery & Operational Excellence

Collaborate and support key functional stakeholders within Technology and Operations to understand business/servicing opportunities.

Identify meaningful data insights from customer and system behavioural data and devise the right analytics products and recommendations.

Conduct data profiling, analysis and metadata-driven ingestion of structured and unstructured data, adhering to data governance standards.

Manage a portfolio of initiatives across Operate and Build effectively taking into consideration the lens of priority, impact, and risk.

Drive innovation of both local and regional Data Chapter processes

Oversee the measurement, development, and execution of initiatives and workstreams

Ensure robust documentation of data processes, standards, best practices and guidelines.

Maintains a clear, prioritized backlog aligned with goals

Requirements:

Bachelor's degree (or higher) with a minimum of 5 years of progressive experience in data analytics and business intelligence

Experienced in statistical computer languages Python, Pyspark, Spark SQL, MySQL

Strong technical, analytic and problem solving skills combined with the ability to provide quick resolution to problems

Great attention to detail

Possess technical mindset, and a ‘can-do’ attitude

A team player with good time-management and leadership skills

Good verbal and written communication, interpersonal and presentation skills

Collaborative mindset with a demonstrated ability to work effectively with cross-functional teams and departments.

Working level understanding of technology infrastructure of banking systems is preferred.

Good understanding of data analytics techniques like predictive, prescriptive, ML and AI.

Primary Location

:Singapore-DBS Asia Hub

Job

:Analytics

Schedule

:Regular

Employee Status

:Full-time:

Job Posting

:Sep 23, 2025, 1:33:18 AM