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.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.
Skills
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.
Your Key Responsibilities
As an Associate in the Deals Tech & Data Solutions team, you will support data-driven initiatives that enable insights into M&A and other transaction-related activities. You will leverage skills in data manipulation, visualization, and statistical modelling to support clients in solving complex business problems.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 opportunitiesExamples 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 analyze 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
- Contributing to client engagement and projects
- Understanding business deals & M&A transaction Consulting environments
- Navigating multiple engagements
- Managing stakeholder expectations
- Building relationships with clients
- Developing skills and knowledge in business consulting
- Enhancing quality through technology-enabled experiences
- Participating in project tasks and research
To Qualify For The Role You Must Have
- Bachelor’s degree in a relevant field with hands-on experience in data analytics
- Possessing analytics & problem-solving capabilities
- Proficiency with relational database models and writing SQL queries
- Experience with data visualization tools (e.g. QlikView, Tableau, Power BI)
- Basic understanding of key financial statements and accounting principles
- Ability to think critically about problems and apply analytics strategy
- Strong SQL skills and relational database knowledge
- Experience in Excel-based analysis and financial reporting
- Proficiency in Power BI, Tableau, or similar tools
- Hands-on experience with ETL processes and data integration
- Strong analytical thinking and stakeholder communication skills
Good-to-have skills
- Experience in Deals, M&A - Tech & Data
- 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%; No Backlogs
- 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
