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PwC · 5 hours ago

Deal Data Technology & Analytics, Experienced Associate

Los Angeles, CA

Full-time

Hybrid

Entry, Mid Level

$63K/yr - $140K/yr

2+ years exp

PwC is a leading professional services firm that focuses on Deals and M&A data and analytics. The Experienced Associate role involves leveraging advanced analytics techniques to extract insights from large datasets, supporting clients in making informed business decisions, and contributing to the growth of the practice in AI-enabled deal analytics.

AccountingBusiness DevelopmentConsultingFinanceFinancial ServicesTax Consulting

No H1B

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

Qualification

Data analysisMachine learningData visualizationData engineeringSQLPythonGenerative AIFinancial acumenCritical thinkingProblem-solvingCommunication skillsTeam collaboration

Required

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

Preferred

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%