Deals - DTDS - Analytics Associate - Summer/Fall 2027

PwC•Rosemont, IL
•$61,000 - $100,000

About The Position

As a Deals - DTDS - Analytics Associate in PwC’s Advisory practice, you will analyze data and contribute to client projects throughout the transaction lifecycle, including deal strategy, diligence, execution, and post-deal value creation. You will apply analytics to contract data to identify risks, obligations, performance insights, and compliance indicators that help clients make informed decisions and maximize value. This entry-level Associate role focuses on learning and contributing to client engagements while building the skills and knowledge needed to deliver quality work. You will participate in project tasks, use a broad range of tools and methodologies to generate ideas and solve problems, interpret data to inform insights and recommendations, support senior staff, and conduct research. You will also develop technical knowledge of firm services and technology resources, build client connections, and grow through ambiguity and new challenges. Travel may be required up to 80%.

Requirements

  • Currently pursuing or have completed a bachelor's degree.
  • For this entry-level client service associate role, have completed or be in the process of completing the final academic year of educational requirements.

Nice To Haves

  • Study in at least one of the following 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 multiple sources to create unified views for analysis.
  • Build and maintain data pipelines for efficient data flow and processing.
  • Use Python and machine learning techniques to address analytical challenges and optimize performance.
  • Provide analytical insights and recommendations in support of client engagements.
  • 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.
  • Participate in developing data warehouse solutions for business intelligence initiatives.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k)
  • Holiday pay
  • Vacation
  • Personal and family sick leave
  • Annual discretionary bonus
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