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Job Description
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.
Responsibilities:
- 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.
Qualifications:
- 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.
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Key Skills
Generative AI
Analytics automation
Data querying





