Deal Data Technology & Analytics, Senior Associate

PWC

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Francisco, CALos Angeles, CAWashington, DCNew York, NY
Salary
$77,000–$202,000 / yr
Employment
Full-time
Posted
27 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $156k
This role $140k
$62k $217k
below market most similar roles pay here above market

This role pays less than 63% of similar roles. Most pay $132,000–$180,000 — the blue band above. At the midpoint, this role pays about $140k versus about $156k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 101 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 97 roles with salary data.

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At a glance

TL;DR · Deal Data Technology & Analytics, Senior Associate

JOB TITLE: Deal Data Technology & Analytics, Senior Associate The Deal Data Technology & Analytics team seeks a Senior Associate to build tech-enabled business solutions for complex M&A scenarios. You will analyze intricate problems, mentor junior team members, and manage stakeholder expectations while developing scalable data pipelines and analytics workflows. Your daily work involves automating repetitive data preparation using AI-assisted pipelines, performing structured and unstructured data extraction, and developing machine learning models for transaction risk assessment and synergy estimation. You will utilize a technical stack including SQL, Python, R, and frameworks like TensorFlow, PyTorch, and Scikit-learn. Key tools include Databricks, Power BI, Tableau, and Generative AI platforms like OpenAI and Claude. You will support Private Equity clients by turning complex deal data into actionable narratives to evaluate investment opportunities and improve portfolio performance.

What you'll do

  • Analyze complex problems to provide actionable insights for M&A and deal scenarios.
  • Automate data preparation, cleansing, and reporting tasks using AI-assisted pipelines and low-code tools.
  • Build and maintain scalable data pipelines and analytics workflows using platforms like Databricks.
  • Develop and implement machine learning models for risk assessment, churn prediction, and financial forecasting.
  • Apply Generative AI tools for rapid data synthesis, drafting, and insight generation across deal stages.
  • Design and execute analytics solutions with Private Equity teams to drive investment decisions and portfolio value.
  • Create data visualizations and narratives to turn complex deal data into compelling stories for stakeholders.
  • Mentor and guide junior team members while managing multiple engagement priorities.

What we're looking for

  • Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, Applied Mathematics, Statistics, Business Analytics, Finance, Accounting, Economics, Management Information Systems, or Engineering.
  • 3 years of experience in the data and technology space.
  • Proficient in programming languages such as SQL, Python, or R (preferred).
  • Experience with machine learning frameworks and natural language processing tools (preferred).
  • Familiarity with data engineering pipelines and AI/ML platforms like Databricks (preferred).
  • Experience using Generative AI platforms for business process enhancement and insight generation (preferred).
  • Experience integrating analytics with cloud-native AI services (preferred).
  • Consulting industry experience and relevant certifications in database programming or data visualization (preferred).

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