Deals - Transaction Analytics - Director

EY Parthenon – Deals - Transaction Analytics Director

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.

The Opportunity

As a Transaction Analytics Director, you will lead teams in delivering critical data-driven business, financial, and commercial insights to support clients in their M&A, divestitures, carve-outs, and other transformational events. Further, you will leverage your business acumen and analytics skills to lead value creation initiatives within private equity portfolio companies and corporations alike. In both M&A and value creation projects, you'll work closely with corporate and private equity leaders, strategists, and decision-makers, offering data-driven insights that help shape strategic decisions.

This role provides the opportunity to combine technical skills with business acumen, working with advanced tools/technologies such as Alteryx, Snowflake, Databricks and PowerBI along with Excel, SQL and Python. You will leverage AI technologies to both drive efficiencies and thoughtful problem solving in your daily work. You will also mentor junior team members and present findings to both technical and non-technical audiences.

Key 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.

Skills and Attributes for Success

• Project Management: Manage cross-functional project teams for successful execution.
• Commercially Driven: Apply strong business acumen coupled with technical knowledge/skills in a fast-paced, client-focused environment.
• Technical Proficiency: Expertise in tools like Alteryx, Snowflake, Databricks, Power BI and Excel. Proficiency in SQL and Python. Further, experience and interest to leverage cutting-edge technologies, including AI, to drive thoughtful and thought-provoking business outcomes.
• Business Development: Assist in client acquisition and practice growth efforts.
• People Development: Mentor and guide junior team members.
• Innovation: Leverage cutting-edge data analytics techniques to deliver insights.
• Relationship Building: Establish strong relationships with clients, offering data-driven recommendations.

To Qualify

• Bachelor's degree in Business Analytics, Finance, Economics, Statistics, Data Science, or a related field, with 5+ years of relevant experience (or a graduate degree with 4+ years of 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.

• The ability and willingness to travel and work in excess of standard hours when necessary.

Ideally, You’ll Also Have

• 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 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.