Support a wide range of FDD Analytics engagements spanning buy-side due diligence, sell-side due diligence, quality of earnings assessments, net working capital analyses, and lender advisory services
Contribute knowledge and best practices related to critical financial processes such as EBITDA normalization, revenue recognition analysis, working capital peg negotiations, and cash flow evaluation across complex, multi-industry target companies
Provide data-driven insights to clients, translating analytical findings from large and disparate datasets into clear, decision-ready conclusions that address transaction risks and value opportunities
Construct and maintain financial data models, dashboards, and visualizations using tools such as Alteryx, Power BI, Tableau, Excel, SQL, Python, R, or Snowflake, ensuring outputs are reconciled to core financial statements and operating metrics of target companies
Proactively monitor M&A market trends, evolving analytics technologies, and sector-specific developments, and articulate their potential impact to clients and internal teams
Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards
Stay informed about emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities to enhance client solutions and internal processes
Mentor team members through coaching, regular ongoing feedback, annual performance reviews, and actively support project teams in resolving complex issues
Build and nurture strong client relationships, serving as a trusted advisor who understands client business needs, identifies opportunities for new business, and delivers high-quality service
Play an active role in attracting, interviewing, hiring, and retaining top talent for the FDD Analytics pod
Requirements
6+ years of prior experience in financial due diligence, transaction advisory, public accounting, or a related professional services environment
In-depth knowledge of quality of earnings methodologies, working capital analyses, and financial statement evaluation in an M&A context
Demonstrated experience working with private equity and corporate clients to assess target company financial performance and support deal decision-making
Prior experience using one or more of the following tools: Alteryx, Power BI, Tableau, SQL, Python, R, Snowflake, Databricks, or comparable analytics platforms
Experience mentoring and developing junior team members in a fast-paced, deadline-driven environment
Consistent success in building and developing strong client relationships
Comfort with AI: Demonstrated ability to responsibly explore and adopt firm-approved AI tools to enhance productivity and innovation
Continuous Learning Mindset: Openness to learning and applying emerging technologies including AI and automation in alignment with firm policies and client standards
Willingness to travel up to 30%; travel varies based on client preferences
Tech Stack
Python
SQL
Tableau
Benefits
comprehensive healthcare options, including medical, dental, and vision coverage