Deals - Diligence Analytics Intern - Summer 2027

PwC
Atlanta, Georgia, United StatesPosted Sep 10, 2026
Summer 2027

About the role

Industry/Sector Not Applicable Specialism Analytics Management Level Intern/Trainee Job Description & Summary

The Opportunity

As a Deals - Diligence Analytics Intern, you will engage in data analysis and support client-facing projects within our Advisory practice. This role offers a unique chance to immerse yourself in the world of data and analytics, where you will assist in gathering and analyzing data to provide valuable insights for our clients. You will be part of a dynamic team that guides clients towards sustainable growth and competitive advantage in today's dynamic market.

As an Intern, you will focus on learning and gaining exposure to PwC's practices. You will support teams by performing basic tasks and conducting research, all while observing professional work environments. This role emphasizes the importance of taking both observational and participatory roles on teams, allowing you to develop your personal brand and contribute to project goals.

In this role at PwC, you will have the opportunity to work on a variety of assignments, each presenting different challenges and scope. 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. This experience will pave the way for more opportunities as you start to establish your personal brand.

Responsibilities

  • Supporting teams in data analysis projects to gain exposure to PwC's practices
  • Participating in the development of data-driven insights to assist client decision-making
  • Conducting research and gathering information to enhance data analysis processes
  • Assisting in the creation and maintenance of data visualization dashboards
  • Engaging in algorithm development to solve analytical problems
  • Utilizing tools like Alteryx and Power BI for data processing and visualization
  • Collaborating with team members to integrate data from various sources
  • Applying data mining techniques to identify patterns and tre

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