EY-Parthenon - Deals - Transaction Analytics - Director

About the role

EY-Parthenon’s Deals Transaction Analytics practice offers transformative strategy, transactions, and corporate finance solutions. We partner with CEOs, Boards, Private Equity, and Governments to enable strategic decisions and 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.
• 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.
• Mentor and guide 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.

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.

Skills

• 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.
• 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.

Qualifications

• 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.