EY-Parthenon - Deals - Transaction Analytics - Director

About the role

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.

We partner with CEOs, Boards, Private Equity, and Governments every step of the way—enabling you to shape your future with confidence.

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 team members.
• 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 for the role

• 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.

What we look for

• Talented professionals with the ability to visualize clients' goals and think creatively to facilitate them.
• An entrepreneurial spirit, and a genuine passion for taking on new challenges.

What we offer you

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business.
• The base salary range for this job in all geographic locations in the US is $120,400 to $220,700. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $144,500 to $250,900. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.
• We provide a flexible vacation policy where you’ll decide how much vacation time you need based on your own personal circumstances.
• We offer a team-led and leader-enabled hybrid model where most people in external, client serving roles work together in person 40-60% of the time over the course of an engagement, project or year.
• We provide a wide range of paid time off options including EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.