Deal Data Technology & Analytics, Experienced Associate

Industry/Sector

Not Applicable

Specialism

Deals

Management Level

Associate

Job Description & Summary

At PwC, our people in Deals, M&A - 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 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.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

The Opportunity

As part of the Deals (M&A) Tech & Data team you work at the intersection of M&A, advanced analytics, and cutting-edge technology. We help clients unlock value in high-stakes transactions by turning raw data into strategic insight, enabling faster, smarter decisions that shape the future of their businesses. You’ll work with a diverse set of industries, high-profile clients, and complex datasets, leveraging technology to deliver impact at deal speed.

 

As an Experienced Associate, you are expected to execute analyses, contribute to solution development, and uphold rigorous standards. You will support the engagement execution using data technologies and applying data visualization tools and programming languages to derive insights.

You will have the opportunity to harness the power of data, leverage data engineering, data analysis, Generative AI, advanced machine learning, and predictive analytics to deliver differentiated insights in complex M&A scenarios. You will experiment with and deploy emerging AI tools for structured and unstructured data extraction, scenario modeling, automated reporting, and client storytelling—turning complex deal data into compelling, actionable narratives.

You will collaborate closely with leading Private Equity clients, leveraging technology, data and analytics to evaluate investment opportunities, assess risk, and optimize portfolio company performance.

Beyond serving clients, you will also contribute to the growth of the practice by leading pursuits, co-developing innovative offerings in AI-enabled deal analytics, and supporting the creation of thought leadership on trends shaping the M&A and Private Equity landscape.

Responsibilities

- Execute analyses of complex problems and deliver actionable, data-driven insights

- Build and automate scalable data pipelines, cleansing, reporting, and workflows using Databricks, low-code/no-code tools, and AI-assisted pipelines

- Apply Generative AI and machine learning models for data synthesis, risk assessment, churn prediction, synergy estimation, and financial forecasting

- Leverage programming languages and data visualization tools to communicate insights clearly and effectively

- Support Private Equity deal teams by designing and delivering analytics solutions that drive investment decisions, operational improvements, and portfolio value creation

- Maintain high-quality deliverables, communicate effectively with stakeholders, and contribute to strong client relationships through proactive engagement

What You Must Have

- Bachelor’s degree in fields involving Engineering, Computer Science, Data Science, Applied Mathematics/Statistics, Analytics, Finance, or Accounting

- 2+ years' experience across data and technology including client-facing consulting work 

 

What Sets You Apart

- Master’s degree and demonstrated consulting and deals/M&A experience.

- Certifications in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS).

- Proficiency in SQL, Python, or R, with experience in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and NLP tools (spaCy, HuggingFace).

- Proficiency in data visualization (Power BI, Tableau), and data storytelling—translating analytics into persuasive outputs for senior stakeholders.

- Demonstrated ability to prototype rapidly, balance multiple priorities, and deploy AI/ML solutions in live business environments, ideally in M&A contexts. 

- Strong financial acumen with understanding of key financial statements, along with critical thinking and problem-solving skills.

- Familiarity with data engineering pipelines (Azure Synapse, dbt, Apache Airflow) and AI/ML platforms (Databricks), including scalable processing and collaborative notebooks.

- Experience with Generative AI platforms (OpenAI, Azure OpenAI, Claude, Gemini) and integrating analytics with cloud-native AI services (AWS SageMaker, Azure ML, Google Vertex AI).

- Ability to travel up to 30%

Travel Requirements

Up to 20%

Job Posting End Date

January 30, 2026

Learn more about how we work: https://pwc.to/how-we-work

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.

As 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 (including family medical history); 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, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

The salary range for this position is: $63,000 - $140,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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, please visit the following link: https://pwc.to/benefits-at-a-glance