Deals - DTDS - Analytics Associate - Summer/Fall 2027

PricewaterhouseCoopers•Rosemont, IL

11d

About The Position

As a Deals - DTDS - Analytics Associate, you will engage in data analysis and contribute to client projects within PwC’s Advisory practice. You will support clients through the transaction lifecycle, including deal strategy, diligence, execution, and post-deal value creation. The role applies analytics to contract data to identify risks, obligations, performance insights, and compliance indicators, helping clients make informed decisions and maximize value. Associates focus on learning and contributing to client engagements while developing the skills and knowledge needed to deliver quality work. You will gain client exposure, build meaningful connections, and deepen your technical knowledge of firm services and technology resources. The position involves participating in project tasks, using a broad range of tools and methodologies to solve problems, interpreting data to inform insights and recommendations, supporting senior staff, and conducting research to deliver value to clients.

Requirements

Currently pursuing or have completed a bachelor's degree.
Client service associate positions are entry-level; candidates must have completed or be in the process of completing their final academic year of educational requirements.

Nice To Haves

Preference for study in at least one of these fields: Applied Business Analytics, Data Analytics, Economics and Management, Economics and Business, Finance, Statistics and Data Science, Computing and Information Systems, or Big Data & Business Analytics.
Preferred cumulative GPA of 3.3.
Preferred major GPA of 3.3.
Leverage AI to create efficiencies, innovate ways of working, and deliver distinctive outcomes.
Develop skills in Python for data analysis and modeling.
Engage in complex data analysis and data integration projects.
Use machine-learning techniques to enhance contract analytics.
Participate in big data projects supporting client transactions.
Apply data science methodologies to drive business insights.

Responsibilities

Conduct complex data analysis to extract meaningful insights and support decision-making.
Develop and implement data models and algorithms to enhance data-driven strategies.
Integrate data from various sources to create unified views for comprehensive analysis.
Build and maintain data pipelines to facilitate efficient data flow and processing.
Use Python and machine-learning techniques to solve analytical challenges and optimize performance.
Support client engagements by providing analytical insights and recommendations.
Collaborate with team members to deliver quality work and meet project objectives.
Continue learning to deepen technical skills and contribute to client projects.
Assist in preparing reports and visualizations to communicate findings effectively.
Participate in developing data warehouse solutions to support business intelligence initiatives.