Job Description

About UOB
United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Performance Reporting Analyst Intern - Learning Objectives:

• Apply data visualisation techniques and scripting in enhancing existing Retail Banking Operations performance reporting to be more streamlined and accurate
• Apply problem solving and systems thinking in identifying current state challenges and propose improvements

Required skills and experience:
- Data Analytics
- PowerBI
- Python, SQL, VBA
- Prompt Engineering
- Microsoft Excel
Initiative 1: Retail Ops Performance and QEP Dashboard
Objective:
To enhance the existing Retail Operations Dashboard by integrating Quality, Efficiency, and Productivity (QEP) metrics, to improve operational transparency, decision-making, and performance tracking.
Elaboration:
Assess current state
Current PowerBI Dashboard (output) - Effectiveness (Output/ FTE), Ageing, Risks and Incidents
Control Tower (input)
SLA compliance declaration (input)
Identify pain points
Identify gaps with the need to track GL outage, QEP program requirement, TOGA requirement
Design to-be state
Implement solution:
Enhance existing dashboard to include GL outage, QEP metrics (Incidents, Complaints, % SL met, HC savings, Cost savings, Vol/ FTE, CAGR)
Improve/ simplify manual inputs done by Ops teams across the markets
Create automated daily monitoring of ageing/ carry forward volume with alerts when values reach predetermined threshold.
Initiative 2: Data-driven Retail Ops Budgeting
Objective:
To design and implement a data-driven headcount budgeting process that aligns with Productivity targets
High-level description:
Assess current state
Current HC budgeting process (inputs, templates, timelines).
Identify pain points
Identify gaps with QEP program needs
Design to-be state
Integrate data analytics, i.e. historical data (headcount, attrition, business volumes forecasts, productivity metrics)
Implement solution:
Build a centralized data repository which contains Unit Processing Time at standardised Level 3 Process across 5 countries
Create simple model to forecast headcount need based on historical data and new business volume forecast and Productivity target
Refer to GTO Finance excel model and create dashboard for monthly tracking and scenario planning (variables: business forecast, attrition, productivity target, productivity initiatives' projected savings). Input on projected savings for productivity initiatives: Budget 2026 Productivity Initiatives Book of Work on Microsoft List
Initiative 3: Prompt Engineering Use Case in Retail Ops Process
Attachment to processing ops teams, identify opportunity to improve the process (shorten Unit Processing Time) by leveraging Copilot and Python script
Additional Requirements
Develop, Diploma - Data Science & Analytics, Engage, Execute, Strategise
Be a Part of the UOB Family
UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.
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Skills Required