Senior Consultant- Private Equity Analytics

What You'll Do:

• Support client delivery across data analytics and transformation initiatives, focusing on performance analytics and insights for transactions such as mergers, acquisitions, divestitures, and carve-outs.
• Perform data extraction, transformation, modeling, visualization, and benchmarking to generate actionable insights from complex datasets.
• Apply diligence and analytical rigor to reconcile data at the transaction level, ensuring accuracy and auditability of performance metrics.
• Collaborate with client stakeholders to assess current-state processes, identify gaps, and develop practical roadmaps for analytics enablement.
• Translate complex data findings into clear, strategic recommendations for decision-makers.
• Contribute to the development of forecasting and predictive models to support client objectives.
• Suggest and implement automation and technology solutions to streamline data workflows and reporting.
• 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.
• Participate in thought leadership and continuous improvement initiatives within the practice.

What You'll Bring:

• Bachelor’s degree in business, Accounting, Economics, Engineering, Information Systems, Mathematics, or a related discipline.
• 3+ years of relevant experience in data analytics, consulting, or transaction services (including financial due diligence and performance analytics).
• Proficiency in data processing tools (Alteryx, PowerQuery, Excel, SQL, Python) and visualization platforms (Power BI, Tableau, Looker).
• Strong business acumen and critical thinking skills to derive insights from complex data.
• Experience with advanced analytical methods such as statistical pricing studies, customer lifetime value, and retention analyses.
• Familiarity with SaaS, Industrial Manufacturing, Healthcare, Consumer Products, or similar industries preferred.
• 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.
• Excellent communication skills and ability to thrive in a dynamic, fast-paced environment.
• Flexibility and willingness to travel based on client preferences.