Data Analytics Auditor – AI-Powered Internal Audit

Kulicke & Soffa Pte Ltd; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Kulicke and Soffa Industries, Inc. is seeking an Audit Data Analyst in Singapore to develop analytics, automation, and AI-enabled audit procedures that enhance efficiency and coverage.

You will collaborate with auditors and business stakeholders to deliver data-driven assurance and continuous improvement initiatives. The role requires 2–4 years of experience in data analytics or audit, with strong SQL, Excel, and BI tool skills, and the ability to handle large, diverse data sources.

Qualifications

• Bachelor’s degree in a related field.
• 2–4 years of experience in data analytics, BI, internal audit, risk or finance analytics.
• Experience with large datasets from multiple systems.
• Exposure to SOX controls, audit, or risk management practices is preferred.

Responsibilities

• Develop and execute analytics for audits (SOX & Ops).
• Perform data extraction, transformation, cleansing, validation, reconciliation.
• Analyze large datasets to identify trends, anomalies, and risk indicators.
• Translate objectives into analytical testing procedures.
• Document methodologies and testing results per audit standards.
• Develop automation workflows and reusable analytics libraries.
• Support AI-enabled audit use cases and POC initiatives.

Skills

Analytical thinking

Problem solving

Attention to detail

Independent / self-driven

Communication

Collaboration

SQL

Education

Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Accounting, Finance, Engineering, or related field

Tools

Alteryx

Python

Power BI

Tableau

Excel (Advanced)

Oracle ERP

Job description

Kulicke and Soffa Industries, Inc. is seeking an Audit Data Analyst in Singapore to develop analytics, automation, and AI-enabled audit procedures that enhance efficiency and coverage.

You will collaborate with auditors and business stakeholders to deliver data-driven assurance and continuous improvement initiatives. The role requires 2–4 years of experience in data analytics or audit, with strong SQL, Excel, and BI tool skills, and the ability to handle large, diverse data sources.