Consulting - Financial Services Advisory (Data Analyst), Graduate Associate 2025

KPMG Singapore; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

KPMG Singapore is seeking a data analyst to join their financial services advisory team. The ideal candidate will work on data transformation, utilizing tools like SQL and Python to provide actionable insights. This role offers a dynamic environment focused on digital and data transformation, contributing to business growth and operational improvements.

Benefits

Flexible working framework

Commitment to diversity and inclusion

Qualifications

• Proficiency in SQL or other data programming languages.
• Understanding of statistical and quantitative analysis with large datasets.
• Experience with data visualization tools is advantageous.

Responsibilities

• Working across all aspects of data, from engineering to building visualizations.
• Translating complex analytics problems into technical solutions.
• Performing exploratory data analysis to identify trends.

Skills

Data transformation

Analytical skills

Problem-solving

Communication

Stakeholder management

Education

Bachelor’s Degree in Computer Science

Bachelor’s Degree in Information Systems

Bachelor’s Degree in IT

Bachelor’s Degree in Mathematics

Bachelor’s Degree in Statistics

Tools

SQL

Python

R

Tableau

QlikView

PowerBI

GIS

Job description

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Work Type: Permanent

Start Date for Applications: 21 May 2025

Closing Date for Applications:

About KPMG Singapore

KPMG in Singapore is part of a global organization of independent professional services firms providing Audit, Tax, and Advisory services. We operate in 143 countries and territories with more than 273,000 partners and employees. Each KPMG firm is a legally distinct entity. KPMG International Limited is a private English company limited by guarantee, and does not provide services to clients.

Job Description

The KPMG financial services advisory team assists banks and capital market sectors in managing their business challenges and developments. Our projects include:

• Business growth (e.g., market entry, customer insights, mergers & acquisitions support)
• Operational process improvements
• Organization-wide functional (re)design
• Change management and project management
• Digital and technology enablement

As we grow rapidly to become the preferred data-driven strategy execution firm in Southeast Asia, we focus on data transformation and cloud & data center excellence. The ideal candidate should have an interest in digital and data transformation, especially within cloud providers, consulting firms, or financial services organizations.

This role involves:

• Working across all aspects of data, from engineering to building visualizations, machine learning models, and experiments
• Translating complex analytics problems into technical solutions with actionable insights
• Performing exploratory data analysis and testing hypotheses to identify trends
• Modeling structured data and applying advanced statistical and mathematical methods
• Using tools like SQL, Python, R, Tableau, QlikView, PowerBI, and GIS for analysis and reporting

The ideal candidate should possess:

• Bachelor’s Degree in Computer Science, Information Systems, IT, Mathematics, or Statistics
• Proficiency in SQL or other data programming languages
• Understanding of statistical and quantitative analysis with large datasets
• Experience with data visualization tools (advantageous)
• Knowledge of big data ecosystems (Hadoop, Spark, Hive) (advantageous)
• Strong learning aptitude and adaptability
• Excellent communication, stakeholder management, analytical, organizational, and problem-solving skills

Only shortlisted candidates will be contacted. Personal data will be used solely for recruitment purposes.

At KPMG Singapore, we are committed to diversity and inclusion. We believe diverse backgrounds and experiences strengthen our team. We are an equal opportunity employer and welcome all qualified applicants regardless of age, race, gender identity, religion, sexual orientation, disability, or other factors. We support our staff's personal and professional growth through initiatives like Take Charge: Flexi-work, our flexible working framework.