Data & Analytics Manager- External Audit

Job Type:Full Time

  • Join an Audit environment where we challenge the status quo
  • Work with passionate people with a social conscious
  • Share the parenting experience and generous leave program offered for both parents

Position objectives

Being in charge of reviewing information for audit and assurance engagements, ensuring that compliance is met by utilising auditing standards under the guidance of the Senior Managers and Partner in the Central D&A Team;

Oversee the planning and delivery of audit and assurance engagements including work plans, risk assessment, timelines, and project management and resource allocation;

Lead development of bespoke data analytics routines to support audit and assurance engagements.

Manage the internal team on how to improve the delivery of engagements and provide suggestions to work more efficiently;

Increase focus on building knowledge of the business, particularly in the area of financial analytics for audit and assurance purposes;

Share own knowledge and experience with auditors and data analysts and develop effective relationships with team members;

Main responsibilities

Managing engagements and analysing client information in order to produce accurate reports for audit and assurance engagements;

Leading the team on ways to demonstrate how the business can meet compliance through the use of different methods of record-keeping to support client engagements;

Using Data and Analytics (D&A) and other solutions to enhance effectiveness of audit and assurance services and train and manage on-shore and off-shore analysts in doing the same;

Managing members of the D&A Hub in the use of KPMG’s bespoke data analytics tools including KPMG Clara Advanced Capabilities, Data Workbench and Analytics and PowerBI. Identifying opportunities to grow the use of these tools on audit and assurance engagements;

Overseeing the development of bespoke analytics and visualisation solutions to analyse client data to provide evidence and insights for audit and assurance engagements, leveraging the existing KPMG Clara platforms and common data model;

Reviewing work papers developed by members of the team as evidence of work performed in relation to audit and assurance engagements;

Reviewing the work and documentation generated by other members of the team and used on audit and assurance engagements;

Taking responsibility and providing feedback on internal processes to verify how technical methods and implemented programs can benefit audit and assurance engagements;

Managing SLAs and performing quality assurance over deliverables for audit and assurance engagements;

Sharing own knowledge and experience with others both within the D&A Hub and more broadly with other KPMG people, teams and function and with other KPMG Member Firms;

Developing knowledge of accounting information systems to interpret accounting data in support of audit and assurance engagements;

Delivering training sessions to the team, providing a focus on productivity and quality on reviewing client information for audit and assurance engagements and providing updates of accounting legislation;

Driving team culture, including responsibility for building a positive and professional working environment both with audit and assurance engagement teams, the National Data & Analytics network, and offshore team.


Relevant tertiary qualification.

Essential skills

Background in auditing or accounting; good communication skills; sound understanding of KPMG procedures ad internal processes; detailed understanding of KPMG’s data analytics approach and tools and how these are applied to audit; experience of using KPMG’s data analytics tools for external audit, KPMG Clara Advanced Capabilities and KPMG Clara Analytics / KPMG Automated Audit Procedures, in a Technical Leader capacity; experience of using visualisation tools including PowerBI; strong professional acumen and ability to manage a mid-sized team.

Employment experience

Approximately 5-7 years’ experience, with at least 4 years’ experience in an audit or assurance role and experience in applying Data & Analytic techniques

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