At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.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.
Skills
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.
Your Key Responsibilities
As a Senior Associate, you will apply advanced analytics techniques to extract meaningful insights from complex datasets. You’ll work across various deal types and industries, helping clients solve business problems through data manipulation, visualization, and statistical modeling. Whether you’re starting your career or taking on more responsibility, you will be part of a collaborative environment where curiosity, quality, and client impact are central. You’ll be expected to build relationships, adapt to ambiguity, and contribute to the delivery of technology-enabled solutions that generate real value. 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
- Build tech-enabled business solutions
- Communicate effectively with technologists and business partners
- Navigate multiple engagements and manage stakeholder expectations
- Leverage data visualization tools and programming languages
- Mentor and guide junior team members
- Maintain exceptional standards in deliverables
- Analyze complex problems and provide actionable insights
- Build and nurture meaningful client relationships
To Qualify For The Role You Must Have
- Bachelor’s degree in a relevant field with hands-on experience in data analytics
- Experience with relational database models and writing SQL queries
- Proficiency with data visualization tools (e.g. QlikView, Tableau, Power BI)
- Hands-on experience with ETL processes and data integration
- Understanding of key financial statements and accounting principles
- Critical thinking and problem-solving capabilities
- Ability to navigate multiple engagements and competing priorities
- Strong analytical thinking and stakeholder communication skills
Good-to-have skills
- Experience in Deals (M&A) Tech & Data
- Consulting Industry experience
- Certifications in database programming such as MS SQL Server, Oracle, etc. and/or data visualization certifications such as Tableau and PowerBI
- Certifications within cloud technology platforms such as AWS, Azure, GCP, etc.
- Certifications within predictive modeling and/or machine learning platforms such as Python, SAS, etc.
Education Qualification
- B.E/B.Tech (CS/IT/EEE/EC) – Minimum 60%
- The ideal candidate will combine academic qualifications with a strong track record of practical experience in mergers and acquisitions, contractual due diligence and data analysis
