Data, Analytics and Technology Solutions - Senior Associate

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn t clear, you ask questions, and you use these moments as opportunities to grow.

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

Roles and

Responsibilities As a Senior Associate, you will be managing engagements and will be responsible for designing and developing ways to automate and reimagine audits, coaching teams. 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 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 meetings Having oversight of keeping to deadlines and budgets 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 decisionmaking 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

Minimum Degree(s) Bachelors or Master s Degree in Computer Science, Data Analytics or Accounting with minimum 4 years of relevant experience. Candidates with Big 4 or equivalent experience would be preferred.

Preferred Skill Set/Professional Experience 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 nondata background (being able to communicate technical issues in simple business terms) and excellent reporting writing skills Experience in managing projects, including developing project plans, budgets and deliverables schedules Experience of the full engagement delivery lifecycle including risk management Proven analytical and problem solving capabilities on complex engagements Potential and ambition to develop a longterm 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 scikitlearn 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); Experience and be able to demonstrate finance/accounting understanding; Experience with financial / general ledger data; Knowledge of the current data science software platforms.

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills