FY26 - Senior Associate - Risk Assurance (Data Analytics)

AI in this role

Line of Service

Assurance

Industry/Sector

Technology

Specialism

Data Analytics

Management Level

Senior Associate

Job Description & Summary

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.

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:

Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Requirements:

Essential Skills and Experience (3-5 years’ experience)

Bachelor Degree on STEM (Science, Technology, Science and Mathematics) majors is advantage
Background and track record of technical experience in data analysis, programming, and how these can be used to create value to a client from data analytics spectrum i.e. data visualisation, data analytics, or data governance.
Technology/technical experience of insurance industry is preferred.
Experienced in data structures (SQL, ETL, SSIS) for data analytics processing.Some knowledge of finance, accounting, or ERP systems.
Experience as ETL / Data Engineer will be advantaged
Experience in using statistical packages for analysing data (Excel, R, Python, SPSS, SAS) is a plus point.
Strong analytical, problem solving, and communication skills. Critical thinking and strong attention to detail.
Able to articulate a business issue and potential impact without resorting to technical language.
Ability to multi task, team player, and forward looking, keen to innovate and embrace growing trend in data and analytics.
Ability to work flexibly and effectively in different teams for varying periods of time whilst still building good working relationships with both colleagues and client personnel at all levels.

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

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Accounting Methods, Active Listening, Alteryx (Automation Platform), Analytical Thinking, Auditing, Business Process Improvement, C# Programming Language, Communication, Creativity, Data Analysis, Data Visualization, Data Wrangling, Embracing Change, Emotional Regulation, Empathy, Finance, Financial Risk Analysis, IBM Db2, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Microsoft Power Business Intelligence (BI) {+ 10 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Yes

Job Posting End Date

How we score this

FY26 - Senior Associate - Risk Assurance (Data Analytics) at PwC scores 21 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.