Deals - Transaction Analytics - Senior Associate

EY Parthenon – Deals - Transaction Analytics Senior Associate

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 Senior Associate, you will leverage analytical tools and technologies to provide 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 drive 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.

No two clients are the same, and since you'll be involved across multiple projects, you'll find your work varies from day to day. Whichever industry or project you're working on, we'll support you in using your analytics, finance and accounting skills to their full potential.

Key Responsibilities

• Lead activities related to complex M&A and analytics-driven projects, including buy-side and sell-side financial due diligence and value creation projects.
• Analyze large datasets to create actionable insights, presenting findings to M&A and business professionals at all levels.
• Work on multiple projects, offering diverse experiences across industries and markets.
• Support business and practice development efforts and contribute to team growth.
• Mentor and guide team members to achieve their career goals.
• Build strong client relationships, providing advice and strategic counsel.
• Leverage ETL tools (e.g., Alteryx) and data visualization tools (e.g., Microsoft Power BI) for advanced analytics and insights.

Skills and Attributes for Success

• Analytical Proficiency: Use data to inform decision-making.
• Commercially Driven: Operate in a fast-paced, high-value 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, drive thoughtful and thought-provoking business outcomes.
• Flexibility: Adapt to diverse projects and challenges.
• Project Management: Guide project teams to successful execution.
• Business Development: Contribute to client pursuits and team initiatives.
• People Development: Mentor and coach colleagues.
• Client Relations: Build and maintain strong client relationships.
• Innovation: Drive thought leadership and intellectual capital.

To Qualify

• Bachelor’s degree with 2+ years of relevant experience.
• Degree in Business Analytics, Finance, Economics, Statistics, Accounting, Data Science, or related field.
• Strong analytical, communication, and teamwork skills.
• Demonstrated interest in deriving business insights through large datasets.
• Experience with advanced data modeling and analytics tools (ETL, visualization)

• Familiarity with financial and business terminology.
• Ability to prioritize and adapt to new challenges.
• The ability and willingness to travel and work in excess of standard hours when necessary.

Ideally, You’ll Also Have

• M&A experience and financial statement analysis skills.
• Familiarity with advanced analytical methods (e.g., statistical pricing studies, customer lifetime value, customer retention).
• Knowledge of analytics tools like Alteryx, Snowflake, Databricks, PowerBI, Python, and others.
• 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.
• Industry experience in sectors such as healthcare, retail, technology, financial services, or insurance