Digital Audit Manager - Data Analytics

Job Description

Digital Audit is a specialist team within our Audit practice that combines a mix of technology, data, business and accounting expertise to how we audit clients across all industries. There are two sides to Digital Audit which include; using our latesttools to help digitise the way we deliver audits through automation, AI, data analytics and innovation - known as Digital Auditing. The other side is Auditing Digital which involves auditing our clients technology to give them assurance that security andcontrols are in place. This includes infrastructure, Cloud, and applications. As part of the team youll have the opportunity to work with a variety of clients, industries and technologies and youll develop the business skills, knowledge and relationshipsyou need to build a career thats more than just numbers. Were constantly investing in audit technology and the skills of our people to keep up with the rapid pace of change and to deliver trust that is deeper, broader and more forward-looking.

• As a Manager, you will be managing engagements and will be responsible for designing and developing ways to automate and reimagine audits, coaching teams and having a leadership role in the group. You would lead teams which develop audit solutions by implementinginnovative technologies, such as Alteryx, SQL. Python, R, Power BI, PowerApps, Process Intelligence. You will build a strong understanding for the role data and analytics plays in the modern day audit and review and quality control of the outputs. Youll get to work on technical assignments enabling you to develop skills in a range of data analytics and visualisation. As well as developing business and soft skills around the topic of data and analytics within the audit which our clients are demandingtoday. Day to day responsibilities will include:
  • Day to day coaching of junior staff members to help them progress
  • Partner leave conversations, leading a team and having broader oversight
  • Owning and delivering client engagements
  • Data management, including data extraction and data cleansing processes;
  • Analytics and reporting, including visualisation of data to help organisations manage business risk establish the right controls, processes and structures to ensure that information can be trusted and improve decision-making;
  • Advanced analytics, where we use data science techniques to help our clients navigate future risks and opportunities through predictive and prescriptive analytics.
  Essential Skills:
  • Strong market credentials in data & analytics working with large organisations and an ability to demonstrate knowledge and insight in data management, data cleansing and data analytics within the audit process;
  • Strong stakeholder management and interpersonal skills, including communication with senior stakeholders of a non-data background (being able to communicate technical issues in simple business terms) and excellent reporting writing skills;
  • Solid experience in managing projects, including developing project plans, budgets and deliverables schedules;
  • Experience of managing people both in terms of managing delivery teams and providing coaching to individuals;
  • Experience of the full engagement delivery lifecycle including risk and stakeholder management;
  • Strong leadership skills an experience
  • Proven analytical and problem solving capabilities on complex engagements; and
  • Potential and ambition to develop a long -term career in PwC.
  Desirable Skills:
  • Basic finance process knowledge (Order to Cash, Purchase to Pay, Financial Services etc) and how ERPs manage and structure the data;
  • Audit experience, and experience of applying data analytics within the external audit process; and
  • Use of technology in data & analytics including for use in providing managed services
  Technical Skills: Knowledge and experience of at least three of the following:
  • Data extraction from financial accounting systems;
  • Data clearing techniques and tools
  • A vision of how data analytics are going to be applied and development in the external audit practice
  • Understanding of key accounting principles and process cycles including revenue to receivables, purchase to cash
  • Data analytic technology such as Alteryx, SQL, Python, R,
  • SQL (preferably SQL Server) and data manipulation; and
  • Machine learning techniques
  • Use of visualisation technologies such as Power BI and Tableau
  Qualifications:
  • A technical background in Computer Science, Data Analytics, Accounting or similar is desirable
  The I&D (Innovation & Data) team is part of the larger UK Audit practice. We provide and develop innovation initiatives across a large array of our audit clients. We do this through the implementation of advanced analytics, robotics, AI and machine learning,leveraging the best technologies currently on the market. The team works with audit clients and internal audit stakeholders to develop data-driven audit approaches and generate crucial insights and find patterns in data to match with our understanding of client risk assessments. We also build scalable automated solutionsfor existing audit processes across an array of industries. We often assure that information and data provided to the audit practice is accurate, complete, and can be trusted.