About The Position
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, they have 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, they partner with CEOs, Boards, Private Equity and Governments every step of the way. Within EY-Parthenon’s Corporate Finance sub service line, the Decision Modeling and Analytics Team (DMA) is a provider of rigorous modeling and analytics solutions to help support the full spectrum of Strategy and Transactions offerings. They work across sectors and their solutions focus on supporting strategic, operational, and financial decision-making using various financial modeling tools, technologies and analytics. The team consists of financial modeling, corporate finance analytics, data and technology professionals, all of whom have a strong interest in business. Their work is often innovative and rapid, delivering solutions in weeks to a few months. Changes in technology are reshaping the way they work, with analytics technologies and data science techniques allowing greater amounts of data to be analyzed in a timely manner, cloud opening up possibilities for advanced capabilities, and clients having an increasing appetite for leveraging tools and technology in decision making across the value chain.
Requirements
- Bachelor’s degree in Computer Science, Business analytics, Data Science or equivalent; Masters preferred.
- 5+ years of corporate/financial analytics experience.
- Intermediate level of proficiency in SQL.
- 3+ years of corporate finance experience.
- Experience of performing data science in SPSS, SAS, Azure Databricks, Python or R to solve business problems.
- Experience of data visualization tools (Power BI preferred).
- Being a subject matter expert on a particular area of business analytics is helpful.
- Excellent communication and presentation skills with a high degree of comfort in speaking with senior executives at large companies.
- Ability to manage own learning and contribute to domain knowledge building.
- Excellent interpersonal, leadership, and communication skills.
- Keen interest in being at the intersection of business, technology, and analytics.
- The ability and willingness to travel and work in excess of standard hours when necessary.
Nice To Haves
- Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions.
- Distinct customer focus and quality mindset; able to see from and sell to multiple viewpoints.
- Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.
Responsibilities
- Develop data science solutions for clients to structure, quantify and implement complex decisions such as mergers, acquisitions, divestitures, strategic options, investment appraisal, contract evaluation and program assessment.
- Demonstrating in-depth technical capabilities and professional knowledge.
- Experience and ability to manage teams.
- Maintaining long-term client relationships and networks and cultivating business development opportunities.
- Using analytics technology tools and data science techniques to enhance the effectiveness of services provided and act as a leader in adopting new tools and techniques.
Benefits
- comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business
- medical and dental coverage
- pension and 401(k) plans
- wide range of paid time off options
- flexible vacation policy
- time off for designated EY Paid Holidays
- Winter/Summer breaks
- Personal/Family Care
- other leaves of absence when needed to support your physical, financial, and emotional well-being
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What This Job Offers
Job Type
Full-time
Career Level
Director
Number of Employees
5,001-10,000 employees
