Senior Consultant – SaaS Performance Analytics

Job Description: • 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. Requirements: • 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. Benefits: Apply tot his job