Performance Reporting Analyst Intern (6 months)

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.

Job Description

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

- Data Analytics

- PowerBI

- Python, SQL, VBA

- Prompt Engineering

- Microsoft Excel

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.

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

Attachment to processing ops teams, identify opportunity to improve the process (shorten Unit Processing Time) by leveraging Copilot and Python script

Additional Requirements

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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