At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy.

• 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 implementing innovative technologies, such as Alteryx, SQL. Python, Power BI, PowerApps.
• 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.
• You’ll 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 demanding today. Day to day responsibilities will include:
• Day to day coaching of junior staff members to help them progress
• Joining weekly team leader meetings
• Leading project teams and having oversight of keeping to deadlines and budgets
• 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
• Enhancing & building strong relationships with the engagement Teams and clients.
• Will be responsible for overseeing their team members performance of testing in this area, monitoring workload, timelines and budgets for the work being performed.
• The role provides an opportunity for the individual to interact with territory audit teams to articulate the objectives and testing results.
  
  

Minimum Degree(s):

• B.Tech/BE/M.Tech/ME (preferably computer science), Bachelors or Master’s Degree in Computer Science, Data Analytics or Accounting/Commerce. with minimum 7 years of relevant experience.
• Candidates with “Big 4” or equivalent experience would be preferred. 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 management
• Strong leadership skills and experience
• Proven analytical and problem solving capabilities on complex engagements
• Potential and ambition to develop a long-term career in PwC
  
  

Technical Skills:

• Knowledge and experience of at least three of the following:
• Data extraction from financial accounting systems
• Data cleansing 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, DataBricks,
• SQL (preferably SQL Server) and data manipulation
• Use of visualisation technologies such as Power BI.