Deal Data Technology & Analytics, Experienced Associate

PwC•Washington, DC

1d•$63,000 - $140,000•Hybrid

About The Position

As a Deal Data Technology & Analytics, Experienced Associate you will help clients use data to inform business decisions, drawing on advanced analytics, data manipulation, visualization, and statistical modeling within our Deals practice. As an Associate you will learn and contribute to project tasks, adapt to changing client needs and team priorities, ask questions to build your skills, and take ownership of your work while delivering reliable support in a fast-paced environment. In this role at PwC, you will assist with extracting insights from large data sets, support analysis that helps address complex business issues, and develop your technical knowledge across data and analytics work in M&A engagements.

Requirements

At least a Bachelor's degree
At least 1 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
Applying coursework or internship experience in data analysis or technology
Demonstrating familiarity with deal data, financial data, or transaction support
Using SQL, Python, or visualization tools to organize findings
Adapting quickly across clients, teams, and shifting project needs

Responsibilities

Analyzing large datasets to identify trends, patterns, and insights that support deal and transaction decisions
Developing data models, dashboards, and visualizations that translate complex findings into clear business outputs
Performing data cleansing, transformation, and validation activities across multiple sources and formats
Using Python, SQL, Alteryx, Power BI, or Tableau to organize, automate, and present analytical work
Supporting financial and operational analyses for mergers, acquisitions, diligence, and value creation projects
Conducting research and interpreting information from client materials, market sources, and internal data sets
Applying statistical techniques and predictive methods to address business questions and testing assumptions
Documenting methods, findings, and recommendations in concise reports and presentation materials
Collaborating with senior team members to track deliverables, raise data issues, and adapt to changing project needs