About The Position

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 will have the chance to work on a variety of assignments, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team’s success. During your time at the Firm, you start to establish your personal brand, paving the way 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. The Opportunity As part of the Data and Analytics team, you engage in data analysis projects that support business objectives. As an Intern/Trainee, you focus on learning and applying data analytics techniques, supporting teams with basic tasks, and gaining exposure to PwC's methodologies. This role provides the opportunity to work with diverse technology applications and tools, enhancing your problem-solving skills and commercial awareness.

Requirements

  • Current pursuit of a Bachelor's Degree either as sophomores in a four-year degree program or juniors in a five-year degree program

Nice To Haves

  • Preferred fields of study: Management Information Systems, Management Information Systems & Accounting, Accounting & Technology, Analytics, Business Analytics, Data Processing/Analytics/Science, Information Technology & Accounting, Computer and Information Science & Accounting, Computer Programming, Finance & Technology, Computer and Information Science, Information Technology
  • Preferred cumulative GPA: 3.3
  • Preferred major GPA: 3.3
  • Building relationships with diverse project teams
  • Communicating in an organized and knowledgeable manner
  • Delivering clear requests for information
  • Demonstrating flexibility in prioritizing and completing tasks
  • Understanding risks and leading practices in project management
  • Utilizing critical thinking to solve complex problems
  • Working in collaborative and team-based environments
  • Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program.
  • Client service interns typically join us during the winter/spring or summer prior to their intended graduation year.

Responsibilities

  • Engaging in data analysis projects to support business objectives
  • Learning and applying data analytics techniques
  • Supporting teams with foundational tasks
  • Gaining exposure to diverse technology tools and applications
  • Enhancing problem-solving skills through practical experience
  • Building commercial awareness through project involvement
  • Observing and learning from experienced data analysts
  • Contributing to the development of data-driven insights
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