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About the Role

As a Deals - DTDS - Analytics - Senior Associate, you will engage with clients to provide strategic advice and support for mergers, acquisitions, and other business transactions. You will leverage your skills in data analysis to help clients make informed decisions and maximize value. Within our Advisory practice, you will be part of a team that guides clients towards sustainable growth and competitive advantage in today's dynamic market. You will focus on building meaningful client connections, developing a deeper understanding of the business context, navigating complex situations, anticipating client needs, and delivering quality solutions. Your role will involve mentoring junior team members and maintaining professional standards while using a broad range of methodologies and techniques to generate new ideas and solve problems. You will apply analytics to contract data to identify risk, obligations, performance insights, and compliance indicators. This position offers an opportunity to grow your personal brand and deepen your technical skills while working in a collaborative environment.

Responsibilities

Conduct complex data analysis to extract meaningful insights and inform decision-making processes
Develop algorithms and data models to support analytics initiatives and enhance data-driven strategies
Integrate data from multiple sources to create unified views for comprehensive analysis
Build and maintain data pipelines to validate efficient data flow and accessibility
Apply machine learning techniques to improve predictive modeling and analytics capabilities
Utilize Python for data manipulation and analysis to support client engagements
Collaborate with teams to provide strategic advice and support for mergers, acquisitions, and business transactions
Create data visualizations and dashboards to communicate key performance indicators and business metrics
Validate data integrity and security within analytics frameworks to maintain trust in data-driven insights
Support contract analytics by identifying risks, obligations, and compliance indicators through data analysis

Requirements

Currently pursuing or have completed a Master's of Business Administration degree
At least 3 years of experience
Job seekers are in their final year of their MBA program at the time of application

Skills

Data analysis
AI
Python
Machine learning
Big data solutions
Data pipelines
Data integration
Data modeling
Strategic insights
Data-driven decision-making

Location

Up to 80% travel

Work Type

Full-time

Experience Level

Senior Associate
3 years of experience

Education Level

Master's of Business Administration

Salary/Compensations

$77,000 - $202,000

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

About the Company

PwC offers a wide range of benefits
Learn more about how we work: https://pwc.to/how-we-work

Equal Opportunity

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.
At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.