Manager - Private Equity Analytics

What You'll Do:

Comprehensive Diligence: Bring a diligence mindset to build innovative solutions for clients looking to leverage data for performance analytics and insights in connection with managing the business for near and long-term transformational events, including mergers and acquisitions (M&A), divestitures, carve-outs, and exit preparedness. Utilize core accounting and financial due diligence skills to ensure data is reconciled and built at the transaction-level leading to supportable and auditable performance metrics.
Strategic Counsel: Provide strategic counsel to corporate and private equity leaders, including direct access to strategists, decision-makers, operating executives, managing directors, chief financial officers, and corporate development officers.
Data Analytics: Perform data extraction, transformation, modeling, data visualization, benchmarking, and various descriptive and predictive analyses to help clients make better decisions. Generate compelling insights by analyzing and interpreting trends or patterns in large and intricate data sets.
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.
High-Performing Teams: Lead high-performing teams in data analytics, consulting, and/or private equity, combining technical knowledge, data analytics, and data visualization skills to drive valuable business and commercial insights.
Client Interaction: Cultivate new client relationships and deepen existing ones. Develop strong working relationships with clients, influencing and supporting key decision-makers. Conduct interviews with clients to analyze current state/future state gaps and pinpoint root causes of challenges. Guide clients and teams along their analytics journey, which includes aligning with their strategic vision for analytics, crafting a practical roadmap of initiatives, and aiding our clients in implementing those initiatives.
Innovation: Develop and support thought leadership and intellectual capital, using data and insights to inform conclusions and support decision-making.
Continuous Improvement: Contribute to the continuous improvement of the fast-growing practice.
People Development: Coach, mentor, and develop team members to achieve their career goals. Mentor team members by coaching colleagues, providing regular ongoing feedback and annual performance reviews, and helping project teams resolve multi-faceted issues.
Automation and Technology Enablement: Suggest methods and leverage tools to automate the client’s end-to-end process from data extraction and preparation to reporting in support of performance analytics.
Forecasting Models: Contribute to the creation of forecasting and predictive analytics models.
Data-Driven Discussions: Lead data-driven discussions in management meetings, translate and communicate complex data findings into clear, strategic recommendations for due diligence findings and transaction models to clients and internal deal teams.

What You'll Bring:

Technical Skills: Extensive ability and proven skills in data processing tools such as Alteryx, PowerQuery, Excel, SQL, Python, in addition to data visualization tools such as Power BI, Tableau, Looker, or similar platforms.
Business Acumen: Strong business acumen and critical thinking skills to draw meaningful insights from robust underlying data.
Industry Experience: Experience in SaaS, Industrial Manufacturing, Healthcare, Consumer Products, Retail and/or Professional Services industries, including analytics around ARR cube and snowball, revenue/margin and price-volume, and/or cash collections waterfall. Experience in functional areas like supply chain, operations, and corporate finance.
Analytical Methods: Experience with advanced analytical methods, including statistical pricing studies, customer lifetime value analyses, customer persistency/retention analyses, geospatial analyses, and statistical clustering analyses.
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.
Communication Skills: A passion for developing and maintaining client relationships. Thorough ability to interact, communicate, and present effectively with internal teams and external clients. The ability to thrive in an ever-changing, dynamic work environment and the ability to readily identify problems and instinctively look for solutions
Consulting Interest: Demonstrated interest in consulting and experience working in a fast-paced mergers and acquisitions environment.
Flexibility: Flexibility and willingness to travel.
Educational Background: A strong academic record, including coursework relevant to the position.
Mentorship: Experience mentoring junior team members and assisting project teams in resolving complex and multi-faceted issues.
Business Integrations: Experience in business integrations, divestitures, or carve-outs including experience with quantitative and qualitative analysis.
Transactions Experience: Transactions experience focused on quality of earnings, net working capital, and cash flows.
Relevant Experience: Minimum 5 years of total relevant experience involving a combination of financial due diligence for transaction services and data analytics.