Deals - Transaction Analytics - Senior Associate

EY-Parthenon - Deals - Transaction Analytics - Senior Associate

Location:

Boston, Chicago, Dallas, Los Angeles, New York, San Francisco, San Jose

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

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.

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.

• 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.

• 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.

• A bachelor’s degree in Business Analytics, Finance, Economics, Statistics, Accounting, Data Science, or related field and 2 years of related work experience; or a graduate degree and approximately 18 months of related work experience
• 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.
• You 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.

• M&A experience and financial statement analysis skills.
• Familiarity with advanced analytical methods (e.g., statistical pricing studies, customer lifetime value,…