- Build data-driven solutions for performance analytics related to mergers and acquisitions, divestitures, carve-outs, and exit preparedness.
- Apply accounting and financial due diligence skills to reconcile data and develop transaction-level, auditable performance metrics.
- Extract, transform, model, visualize, benchmark, and analyze data to generate client insights.
- Advise corporate and private equity leaders and cultivate new and existing client relationships.
- Interview clients to assess current and future states, identify gaps, and pinpoint root causes.
- Guide clients in defining their analytics vision, developing initiative roadmaps, and implementing initiatives.
- Lead data analytics, consulting, and private equity teams.
- Develop forecasting and predictive analytics models and suggest automation across data preparation and reporting.
- Lead data-driven discussions and translate findings into recommendations for clients and internal deal teams.
- Coach and mentor team members, provide feedback and performance reviews, and help resolve project issues.
PythonSQLMicrosoft Power BI+4 more