Data Analyst II, Internal Audit

The Audit Data Analyst supports Internal Audit by developing and executing data analytics, automation solutions, dashboards, and AI-enabled audit procedures that enhance audit efficiency and expand audit coverage. The role works closely with auditors and business stakeholders to deliver data-driven assurance activities and continuous improvement initiatives.

• Develop and execute analytics for SOX & Ops audits.

• Perform data extraction, transformation, cleansing, validation, and reconciliation activities.

• Analyze large and complex datasets to identify trends, anomalies, control gaps, and risk indicators.

• Translate audit objectives into analytical testing procedures.

• Document methodologies, assumptions, and testing results in accordance with Internal Audit standards.

• Ensure data integrity and accuracy of analytics outputs.

• Maintain appropriate documentation and audit trails

• Develop reusable workflows, scripts, and automation solutions that improve audit efficiency.

• Identify opportunities to automate manual audit procedures.

• Contribute to AI-enabled audit use cases and proof-of-concept initiatives.

• Build effective working relationships with process owners, IT teams, and auditors.

• Support audit teams in interpreting analytical results and developing clear and actionable audit observations.

• Expand technical expertise in analytics, automation, AI, and audit methodologies.

• Contribute to knowledge-sharing activities and reusable analytics libraries.

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

• 2-4 years of experience in Data Analytics, Business Intelligence, Internal Audit, Risk Management, Finance Analytics, or a related field.

• Experience working with large datasets from multiple business systems.

• Exposure to internal controls, compliance, audit, or finance processes is preferred.

• Experience with Alteryx, Python, or other analytics and automation tools.

• Experience with data visualization tools (e.g., Power BI, Tableau).

• Advanced Microsoft Excel skills

• Knowledge of data cleansing, transformation, and validation techniques.

• Understanding of SOX controls, internal audit methodologies, or risk management practices.

• Proficiency in SQL and data querying techniques.

• Familiarity with ERP systems such as Oracle.

• Exposure to AI and Generative AI tools used for analytics, automation, or business insights.

• Strong analytical and problem-solving skills.

• Attention to detail and commitment to data quality.

• Ability to work independently with limited supervision.

• Effective communication and collaboration skills.

Company Overview

Founded in 1951, Kulicke and Soffa Industries, Inc. (NASDAQ: KLIC) specialize in developing cutting-edge semiconductor and electronics assembly solutions enabling a smarter and more sustainable future. Ever-growing range of products and services supports growth and facilitates technology transitions across large-scale markets.

Please refer to the website for more details: www.kns.com.

Equal Opportunity

Kulicke & Soffa recruits on the basis of merit (such as skills, experience or ability to perform the job), regardless of age, race, gender, religion, marital status and family responsibilities, or disability.