EY-Parthenon - Deals - Transaction Analytics - Director

EY Studio+ Nederland•Boston, NY

2d•Hybrid

About The Position

EY-Parthenon’s unique combination of transformative strategy, transactions and corporate finance delivers real-world value – solutions that work in practice, not just on paper. Benefiting from EY’s full spectrum of services, we’ve reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way – enabling you to shape your future with confidence.

Requirements

A bachelor's degree in Business Analytics, Finance, Economics, Statistics, Data Science, or a related field and 5 years of related work experience; or a graduate degree and approximately 4 years of related work experience.
Strong analytical skills with experience in data wrangling, transformation, and analysis (both descriptive and predictive).
Proficiency in relational databases and data models.
Experience in diverse industries (e.g., TMT, Healthcare, Retail) and functional areas (e.g., corporate finance, supply chain).
Strong communication skills with the ability to present complex data to varied audiences.
Must either reside in or be in a commutable distance to your office location for this position.
The ability and willingness to travel and work in excess of standard hours when necessary.
In certain circumstances, travel may be required beyond your work location based on client and project needs.

Nice To Haves

Master’s degree, and/or CPA or CFA license.
M&A experience and financial statement analysis.
Experience with advanced analytical methods (e.g., statistical pricing studies, customer lifetime value, customer retention).
Experience with analytics and data tools (e.g., Alteryx, Snowflake, Databricks, Power BI, Python, SQL).
Knowledge of how to leverage firm-approved AI tools in a business setting, including Microsoft Copilot.
Experience with leveraging AI, namely LLMs, including prompt engineering, AI agents, etc.
Interest in working with alternative data to analyze competitive positioning.

Responsibilities

Lead data analytics projects to advise clients on financial and commercial issues, M&A transactions, and value creation opportunities for corporate clients and private equity portfolio companies.
Guide teams in executing descriptive and predictive analytics, transforming data into actionable insights.
Contribute to practice development and business growth through client meetings, presentations, and new business pursuits.
Support the career development of junior staff through mentorship.
Drive innovation by applying advanced analytical techniques and staying updated on sector trends.
Build and maintain strong client relationships, providing strategic insights and solutions.