Audit and Assurance - Data, Analytics and Technology Solutions - Associate

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Apply a learning mindset and take ownership for your own development.

Appreciate diverse perspectives, needs, and feelings of others.

Adopt habits to sustain high performance and develop your potential.

Actively listen, ask questions to check understanding, and clearly express ideas.

Seek, reflect, act on, and give feedback.

Gather information from a range of sources to analyse facts and discern patterns.

Commit to understanding how the business works and building commercial awareness.

Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

Roles and

Responsibilities ● As an Associate, you will be responsible for designing and developing ways to automate and reimagine audits. ● You would develop audit solutions by implementing innovative technologies, such as Alteryx, SQL. Python, Power BI, PowerApps, Process Intelligence. ● You will build a strong understanding for the role data and analytics plays in the modern day audit. ● 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: ● 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. ● The role provides an opportunity for the individual to interact with territory audit teams to articulate the objectives and testing results.

• Education/Qualifications

Preferred Skill

Set/Professional

Experience

Minimum Degree(s): ● Bachelors or Master’s Degree in Computer Science, Data Analytics or Accounting with minimum 1 year of relevant experience. ● Candidates with “Big 4” or equivalent experience would be preferred. Essential Skills: ● 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

● Stakeholder management and interpersonal skills ● Experience in managing projects, including developing project plans, budgets and deliverables schedules ● Analytical and problem solving capabilities on complex engagements ● Potential and ambition to develop a long-term career in PwC Desirable Skills: ● Basic finance process knowledge (Order to Cash, Financial Services etc) and how ERPs manage and structure the data ● Audit experience, and experience of applying data analytics within the external audit process ● Use of technology in data & analytics including for use in providing managed services ● Experience working with financial services institutions OR commercial sector experience (retail, manufacturing, transport, logistics, FMCG, pharmaceutical, etc.) and a desire to specialise in one of these two areas ● Experience working in financial reporting, financial accounting, regulatory compliance, or internal audit Technical Skills: ● Data transformation and modelling (e.g. pandas and scikit-learn in Python); ● Data storage and querying (e.g. SQL, Alteryx, Python) ● Data visualisation experience (eg PowerBI) ● Understanding of common data quality issues and they effect they have on machine learning models; ● Data cleansing and manipulation for machine learning (e.g. feature engineering); ● Robotics experience eg UI Path; ● Experience and be able to demonstrate finance/accounting understanding; ● Experience with financial / general ledger data; ● Knowledge of the current data science software platforms.