PwC
Deal Data Technology & Analytics, Senior Associate
PwC, Washington, District of Columbia, us, 20022
Overview
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 Deals; 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. Focused on relationships, you build meaningful client connections, learn how to manage and inspire others, navigate increasingly complex situations, and grow your personal brand and technical expertise. You are expected to anticipate the needs of your teams and clients, deliver quality, and embrace ambiguity by asking questions and using those moments as opportunities to grow. Opportunity
As part of the Deals (M&A) Tech & Data team, you will build tech‑enabled business solutions, communicate with technologists and business partners, analyze complex problems, mentor others, and maintain rigorous standards. You will navigate multiple engagements, manage stakeholder expectations, and leverage data visualisation tools and programming languages to derive insights. You will harness modern technologies, data engineering, Generative AI, and advanced analytics to deliver differentiated insights in complex M&A scenarios, experiment with emerging AI tools for structured and unstructured data extraction, scenario modelling, automated reporting, and client storytelling. You will help clients with broad AI strategy and use‑case development, and work closely with leading Private Equity clients to improve portfolio performance. Responsibilities
Analyze complex problems and provide actionable insights Automate repetitive data preparation, cleansing, and reporting tasks using AI-assisted pipelines and low‑code/no‑code tools Leverage data visualisation tools and programming languages Apply Generative AI tools for rapid data synthesis, drafting, and insight generation across various stages of a deal Build and maintain scalable data pipelines and analytics workflows using platforms such as Databricks Develop and implement machine learning models for transaction risk assessment, customer churn prediction, synergy estimation, and financial performance forecasting Design and execute analytics solutions that drive investment decisions, operational improvements, and portfolio value creation in partnership with Private Equity deal teams Communicate effectively with business stakeholders and technologists Mentor and guide junior team members Build and nurture meaningful client relationships What You Must Have
Bachelor’s Degree in Computer Science, Data Analytics, Applied Mathematics, Statistics, Business Analytics, Finance, Accounting, Economics, Management Information Systems, or Engineering Minimum of 3 years of experience in the data and technology space What Sets You Apart
Master’s Degree preferred Proficient in SQL, Python, or R, with experience in machine learning frameworks (TensorFlow, PyTorch, Scikit‑learn) and NLP tools (spaCy, HuggingFace Transformers) Familiarity with data engineering pipelines (Azure Synapse Analytics, dbt, Apache Airflow) and AI/ML platforms such as Databricks Experience using Generative AI platforms (OpenAI API, Azure OpenAI, Claude, Google Gemini) for business process enhancement Experience integrating analytics with cloud‑native AI services (AWS SageMaker, Azure ML, Google Vertex AI) Consulting industry experience Certifications in database programming, data visualisation (PowerBI, Tableau), cloud technologies (AWS, Azure, GCP), and machine learning platforms Proven track record of deploying AI/ML solutions in live business environments, ideally in M&A or transaction contexts Understanding of key financial statements and accounting principles Critical thinking, problem‑solving capabilities, and ability to navigate multiple engagements and competing priorities Salary
The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. Benefits
PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, visit https://pwc.to/benefits-at-a-glance Learn more about how we work
Visit https://pwc.to/how-we-work Equal Employment Opportunity
PwC is an equal‑opportunity employer. All qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information; veteran, marital, or citizenship status; or any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, or the California Fair Chance Act, arrest or conviction records will be considered for Employment in accordance with these laws. H‑1B Lottery Policy
PwC does not intend to hire experienced or entry‑level job seekers who will need, now or in the future, PwC sponsorship through the H‑1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
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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 Deals; 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. Focused on relationships, you build meaningful client connections, learn how to manage and inspire others, navigate increasingly complex situations, and grow your personal brand and technical expertise. You are expected to anticipate the needs of your teams and clients, deliver quality, and embrace ambiguity by asking questions and using those moments as opportunities to grow. Opportunity
As part of the Deals (M&A) Tech & Data team, you will build tech‑enabled business solutions, communicate with technologists and business partners, analyze complex problems, mentor others, and maintain rigorous standards. You will navigate multiple engagements, manage stakeholder expectations, and leverage data visualisation tools and programming languages to derive insights. You will harness modern technologies, data engineering, Generative AI, and advanced analytics to deliver differentiated insights in complex M&A scenarios, experiment with emerging AI tools for structured and unstructured data extraction, scenario modelling, automated reporting, and client storytelling. You will help clients with broad AI strategy and use‑case development, and work closely with leading Private Equity clients to improve portfolio performance. Responsibilities
Analyze complex problems and provide actionable insights Automate repetitive data preparation, cleansing, and reporting tasks using AI-assisted pipelines and low‑code/no‑code tools Leverage data visualisation tools and programming languages Apply Generative AI tools for rapid data synthesis, drafting, and insight generation across various stages of a deal Build and maintain scalable data pipelines and analytics workflows using platforms such as Databricks Develop and implement machine learning models for transaction risk assessment, customer churn prediction, synergy estimation, and financial performance forecasting Design and execute analytics solutions that drive investment decisions, operational improvements, and portfolio value creation in partnership with Private Equity deal teams Communicate effectively with business stakeholders and technologists Mentor and guide junior team members Build and nurture meaningful client relationships What You Must Have
Bachelor’s Degree in Computer Science, Data Analytics, Applied Mathematics, Statistics, Business Analytics, Finance, Accounting, Economics, Management Information Systems, or Engineering Minimum of 3 years of experience in the data and technology space What Sets You Apart
Master’s Degree preferred Proficient in SQL, Python, or R, with experience in machine learning frameworks (TensorFlow, PyTorch, Scikit‑learn) and NLP tools (spaCy, HuggingFace Transformers) Familiarity with data engineering pipelines (Azure Synapse Analytics, dbt, Apache Airflow) and AI/ML platforms such as Databricks Experience using Generative AI platforms (OpenAI API, Azure OpenAI, Claude, Google Gemini) for business process enhancement Experience integrating analytics with cloud‑native AI services (AWS SageMaker, Azure ML, Google Vertex AI) Consulting industry experience Certifications in database programming, data visualisation (PowerBI, Tableau), cloud technologies (AWS, Azure, GCP), and machine learning platforms Proven track record of deploying AI/ML solutions in live business environments, ideally in M&A or transaction contexts Understanding of key financial statements and accounting principles Critical thinking, problem‑solving capabilities, and ability to navigate multiple engagements and competing priorities Salary
The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. Benefits
PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, visit https://pwc.to/benefits-at-a-glance Learn more about how we work
Visit https://pwc.to/how-we-work Equal Employment Opportunity
PwC is an equal‑opportunity employer. All qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information; veteran, marital, or citizenship status; or any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, or the California Fair Chance Act, arrest or conviction records will be considered for Employment in accordance with these laws. H‑1B Lottery Policy
PwC does not intend to hire experienced or entry‑level job seekers who will need, now or in the future, PwC sponsorship through the H‑1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
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