Data Analysis jobs in United States

Specialty/Competency: Deals

Industry/Sector: Not Applicable

Time Type: Full time

Travel Requirements: Up to 20%

A career in Technology and Data Solutions practice, within Deals M&A Transaction Services, provides the opportunity to help organizations realize the potential of mergers, acquisitions, divestitures and capital markets. You will have the opportunity to leverage technology and data to drive better deal decisions and execute transactions more effectively, helping companies originate, create, execute, and realize value from deals. Our team consists of well‑rounded creative professionals who have a passion and aptitude for building technology‑driven solutions and pushing the boundaries of innovation in deals. We are industry leaders in embedding technology, leveraging data analysis, machine learning, and artificial intelligence for a broad range of deal‑focused solutions.

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 a Manager, you supervise, develop, and coach teams, maintaining top‑quality deliverables and leveraging team strengths to meet client expectations. You thrive in a team setting, communicate effectively with both technologists and business partners, and drive client engagement workstreams.

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 modelling, automated reporting, and client storytelling—turning complex deal data into compelling, actionable narratives.

You will collaborate closely with leading Private Equity clients, applying advanced analytics and emerging technologies to evaluate investment opportunities, assess risk, and accelerate portfolio company performance.

Beyond client delivery, 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.

• Develop new skills outside of comfort zone.
• Act to resolve issues which prevent the team working effectively.
• Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
• Analyse complex ideas or proposals and build a range of meaningful recommendations.
• Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
• Address sub‑standard work or work that does not meet firm’s/client’s expectations.
• Use data and insights to inform conclusions and support decision‑making.
• Develop a point of view on key global trends, and how they impact clients.
• Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
• Simplify complex messages, highlighting and summarising key points.
• Uphold the firm’s code of ethics and business conduct.

• Lead client engagement workstreams, manage multiple projects, and build strong stakeholder relationships.
• Work with deal teams to design and deliver analytics solutions that drive investment decisions, operational improvements, and portfolio value creation.
• Analyse complex problems and communicate actionable insights through data visualization, programming, and advanced analytics.
• Build and automate scalable data pipelines, cleansing, reporting, and workflows using platforms such as 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.
• Establish and maintain exceptional standards in deliverables while mentoring junior team members and fostering a collaborative, resilient team culture.

• Bachelor’s degree in relevant fields, including engineering, Computer Science, Data Science, Applied Mathematics/Statistics, Analytics, Finance, or Accounting.
• 5+ years’ experience across data and technology including client‑facing consulting work.

• Advanced degree (master’s preferred) with consulting and deals/M&A experience.
• Track record of managing teams, multiple engagements, and competing priorities.
• Demonstrated ability to influence stakeholders, align diverse viewpoints, and contribute to business development, practice growth, and thought leadership.
• Strong proficiency in SQL, Python, or R, including experience with machine learning frameworks (TensorFlow, PyTorch, Scikit‑learn) and NLP tools (spaCy, HuggingFace).
• Hands‑on experience with data engineering pipelines (Azure Synapse, dbt, Apache Airflow) and AI/ML platforms (Databricks), including scalable processing and collaborative notebooks.
• Familiarity with Generative AI platforms (OpenAI, Azure OpenAI, Claude, Gemini) and integration with cloud‑native AI services (AWS SageMaker, Azure ML, Google Vertex AI).
• Proficiency in data visualization (Power BI, Tableau), SQL/Python queries, and data storytelling—translating analytics into persuasive outputs for senior stakeholders.
• Experience deploying AI/ML solutions in live business environments, ideally in M&A contexts, with strong financial acumen and understanding of key financial statements.
• Skilled at critical thinking, problem‑solving, and rapid prototyping with modern analytics and AI tools.
• Certifications in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modelling/ML (Python, SAS).
• Ability to travel up to 20%.

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: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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 https://pwc.to/benefits-at-a-glance