This role pays less than
75%
of similar roles. Most pay
$139,612–$197,250
— the shaded band above.
At the midpoint, this role pays about
$140k
versus about
$168k
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
105 open roles
on FindRole.
Listed pay typically runs
$99,000–$232,000
across 103 roles with salary data.
As a Deal Data Technology & Analytics, Senior Associate, you will join the Deals team to build tech-enabled business solutions and manage complex M&A scenarios. You will develop scalable data pipelines, automate repetitive reporting tasks using AI-assisted workflows, and create machine learning models for transaction risk assessment and financial forecasting. The role involves translating complex deal data into actionable narratives for Private Equity clients while mentoring junior team members. To succeed, you must utilize programming languages like SQL, Python, or R, alongside frameworks such as TensorFlow and Scikit-learn. You will also leverage tools including Databricks, Power BI, Tableau, and Generative AI platforms like OpenAI or Claude. Your work focuses on solving high-stakes problems in due diligence and portfolio value creation by integrating advanced analytics with emerging technologies to provide data-driven insights for investment decisions.
Data Analytics
Business Intelligence
Python
Java
QlikView
Spotfire
Oracle Business Intelligence
BIRT
Data Pipelines
Data Visualization
Data Science
Data Architecture
Process Improvement
Machine Learning
Predictive Modeling
Data Analytics
Power BI
Tableau
Alteryx
Python
SAS
Databricks
MS SQL
AWS
Azure
GCP
Data Science
Exploratory Data Analysis
Data Analytics
Statistical Modeling
Data Visualization
Python
SAS
Databricks
MS SQL
Power BI
AWS
Azure
GCP
Predictive Modeling
Data Manipulation
Data Integrity