Digital Audit Senior Manager - Data Analytics

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter Data Analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.
  
• Deal effectively with ambiguous and unstructured problems and situations.
  
• Initiate open and candid coaching conversations at all levels.
  
• Move easily between big picture thinking and managing relevant detail.
  
• Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.
  
• Contribute technical knowledge in area of specialism.
  
• Contribute to an environment where people and technology thrive together to accomplish more than they could apart.
  
• Navigate the complexities of cross-border and/or diverse teams and engagements.
  
• Initiate and lead open conversations with teams, clients and stakeholders to build trust.
  
• Uphold the firm's code of ethics and business conduct.
  

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