Job Description About the Team The KPMG Forensic team assists clients in detecting and responding to fraud, bribery, corruption, money laundering, misconduct, and other financial crime issues, as well as resolving commercial disputes. We help clients protect their businesses by identifying discrepancies in facts and figures, non-compliant behaviours, and advising on legal and regulatory requirements. Applying forensic techniques, investigation, intelligence, technology, and industry expertise, we help prevent and resolve commercial disputes, fraud, misconduct, and regulatory breaches. Your Opportunity As a Forensic Data Analytics Senior Consultant specialising in wage compliance, you will play a pivotal role in helping our clients identify and remediate breaches against an employer’s Enterprise Agreement, Modern Award, National Employment Standards or jurisdictional based long service leave legislation. We’re looking for passionate data analysts driven by purpose and precision to make a real different in people’s lives. Wage compliance isn’t just about numbers, it’s about making sure every worker receives their fair entitlements. You will be leveraging your experience in business analysis, data investigation, and analytic skills to identify, investigate, quantify, and report on wage underpayment matters. Working with a diverse team of data analysts and subject matter specialists, your work will help uncover discrepancies, support ethical business practices, and uphold the rights of workers across Australia. Responsibilities Data driven investigation to identify potential instances of wage underpayment against complex pay rules and entitlements Conducting data quality reviews and identify data anomalies in relation to time & attendance, human resource and payroll systems Development of calculation models to assist in remediation of complex wage and leave issues Development of ongoing monitoring reports and dashboards to assist with ongoing wage compliance Cost modelling to support clients in the planning and negotiation of new Enterprise Agreements. Experience Must have experience in analysis of large and complex payroll and time & attendance data to identify or quantify wage compliance issues. Experience in development of SQL, Alteryx or Excel data models or demonstrated analytical ability / willingness to learn. Excellent written communication skills and attention to detail Background in professional services is preferred. Qualifications Desired tertiary qualifications in a combination of business disciplines (e.g., finance, accounting, law) and technical disciplines (e.g., engineering, IT, computing).
