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PwC · 2 months ago

Deal Data Technology & Analytics, Senior Associate

CA-San Francisco

Full-time

Hybrid

Mid, Senior Level

$77K/yr - $202K/yr

3+ years exp

PwC is a leading professional services firm that focuses on leveraging data and analytics to drive insights and informed business decisions. The Senior Associate in Deals will utilize advanced analytical techniques to extract insights from large datasets, support clients in solving complex business problems, and mentor junior team members while maintaining high standards of quality and stakeholder management.

AccountingBusiness DevelopmentConsultingFinanceFinancial ServicesTax Consulting

No H1B

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 visualization 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 to accelerate due diligence, integration, and value creation analytics

Develop and implement machine learning models for transaction risk assessment, customer churn prediction, synergy estimation, and financial performance forecasting

Working with Private Equity deal teams to design and execute analytics solutions that drive investment decisions, operational improvements, and portfolio value creation

Communicate effectively with business stakeholders and technologists

Mentor and guide junior team members

Build and nurture meaningful client relationships

Qualification

Data analysisMachine learningData visualizationProgramming languagesData engineeringGenerative AICloud technologyData storytellingClient relationship managementCritical thinkingProblem-solvingMentoring

Required

Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, Applied Mathematics, Statistics, Business Analytics, Finance, Accounting, Economics, Management Information Systems, Engineering

3 years of experience in the data and technology space

Preferred

Master's Degree preferred

Proficient in programming languages such as SQL, Python or R, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and natural language processing tools (e.g., spaCy, HuggingFace Transformers)

Familiarity with data engineering pipelines (e.g., Azure Synapse Analytics, dbt, Apache Airflow) and AI/ML platforms such as Databricks, including experience with collaborative notebooks and scalable data processing

Experience using Generative AI platforms (e.g., OpenAI API, Azure OpenAI, Claude, Google Gemini) for business process enhancement and insight generation

Experience integrating analytics with cloud-native AI services (AWS SageMaker, Azure ML, Google Vertex AI)

Consulting Industry experience

Certifications in database programming such as Databricks, MS SQL Server, etc. and/or data visualization certifications such as PowerBI

Experience with relational database models and writing Python/SQL queries

Experience with data storytelling—turning analytical output into persuasive visual and narrative formats for senior stakeholders

Proficiency with data visualization tools (e.g. Power BI, Tableau)

Ability to prototype and iterate rapidly using modern analytics and AI tools, balancing speed with rigor

Certifications within cloud technology platforms such as AWS, Azure, GCP, etc

Certifications within predictive modeling and/or machine learning platforms such as Python, SAS, etc

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 and problem-solving capabilities