Senior Deal Analytics & M&A Advisor

PwC; New York (NY); On-site; USD 77,000 - 202,000; Full time

Job summary

PwC in New York seeks a Deals - DTDS - Analytics - Senior Associate to apply analytics to mergers, acquisitions, and other transactions while advising clients on data-driven decisions. You will lead data analyses, build models, and deliver dashboards within the Advisory practice.

You will mentor juniors, develop scalable analytics, and drive value through AI and Python-based approaches in client engagements.

Qualifications

• Currently pursuing or have completed a Master's of Business Administration degree.
• At least 3 years of experience.
• These client service Senior Associate positions are for job seekers who are in their final year of their MBA program at the time of application.

Responsibilities

• Conducting complex data analysis to extract meaningful insights and inform decision-making processes.
• Developing algorithms and data models to support analytics initiatives and enhance data-driven strategies.
• Integrating data from multiple sources to create unified views for comprehensive analysis.
• Building and maintaining data pipelines to validate efficient data flow and accessibility.
• Applying machine learning techniques to improve predictive modeling and analytics capabilities.
• Utilizing Python for data manipulation and analysis to support client engagements.
• Collaborating with teams to provide strategic advice and support for mergers, acquisitions, and business transactions.
• Creating data visualizations and dashboards to communicate key performance indicators and business metrics.
• Validating data integrity and security within analytics frameworks to maintain trust in data-driven insights.

Skills

Data analysis

Python

Machine learning

Data visualization

Data pipelines

Education

MBA

Job description

PwC in New York seeks a Deals - DTDS - Analytics - Senior Associate to apply analytics to mergers, acquisitions, and other transactions while advising clients on data-driven decisions. You will lead data analyses, build models, and deliver dashboards within the Advisory practice.

You will mentor juniors, develop scalable analytics, and drive value through AI and Python-based approaches in client engagements.