Transaction Advisory - Data Analytics Manager

Using advanced analytics and market-leading technology, you will transform large and complex datasets into actionable business, financial, commercial, and operational insights. This role requires strong technical capabilities, including Python and Alteryx for data preparation and modeling-combined with the business acumen to interpret results, identify performance drivers, and communicate meaningful recommendations to clients.

Your day-to-day may include:

• Support multiple client engagements across the transaction lifecycle, including acquisitions, divestitures, transaction-related analyses, and post-acquisition value creation.
• Partner with engagement teams to define business questions, data requirements, and analytical approaches.
• Extract, clean, combine, validate, and analyze large and complex financial, customer, sales, pricing, profitability, and operational datasets using Python, SQL, Alteryx, Excel, and related tools.
• Analyze and model complex datasets to evaluate business performance, identify transaction risks and opportunities, and support investment and value creation decisions.
• Perform analyses involving customer segmentation, retention, customer lifetime value, pricing, discounting, profitability, market forecasting, and location performance.
• Evaluate revenue, margin, EBITDA, customer behavior, and other key business drivers to identify meaningful trends, anomalies, and performance improvement opportunities.
• Develop dashboards, data visualizations, presentations, and executive-level recommendations that clearly communicate findings to clients and engagement teams.
• Translate complex analytical results into clear business and financial implications for technical and non-technical stakeholders.
• Collaborate with multidisciplinary Transaction Advisory teams to incorporate relevant financial, operational, technology, and transaction considerations into the analysis.
• Manage day-to-day client interactions, analytical workstreams, project deliverables, and deadlines.
• Identify and communicate data-quality issues, analytical limitations, and their potential effect on the conclusions.
• Mentor junior team members and contribute to the team’s technical and analytical development.
• Support proposals, business development opportunities, recruiting, and training initiatives.
• Meeting or exceeding targeted billing hours (utilization)
• Other duties as assigned

• Bachelor’s degree in Accounting, Finance, Economics, Business Analytics, or a related business discipline required. A degree in Statistics, Data Analytics, Information Systems, Computer Science, Mathematics, or another quantitative discipline may be considered when combined with relevant transaction advisory, value creation and professional-services experience.
• 6+ years of data analytics experience within transaction advisory, M&A advisory, Private Equity or a similar professional services environment required.
• Industry recognized professional certification required.
• Experience analyzing complex company-level financial, customer, sales, pricing, profitability, or operational data to support transaction-related conclusions and client recommendations.
• Demonstrated understanding of transaction-related data and the ability to interpret analytical results in the context of business performance, revenue and margin drivers, investment considerations, and value creation opportunities.
• Strong proficiency in Python and Alteryx for data cleaning, structuring, analyzing, and modeling large transaction-related datasets, with the ability to interpret the results and clearly explain their business and financial implications.
• Proficiency with SQL, relational databases, Microsoft Excel, and PowerPoint.
• Experience with Tableau, Power BI, or another business intelligence and visualization platform.
• Experience supporting M&A, divestiture, transaction-related analysis, or post-acquisition value creation engagements.
• Experience performing customer, pricing, profitability, forecasting, or location analytics.
• Understanding of the M&A and private equity investment lifecycle.
• Strong business and financial acumen, with the ability to connect analytical findings to transaction objectives and value creation opportunities.
• Excellent analytical, project management, presentation, interpersonal, and client-facing communication skills.
• Ability to explain complex technical concepts clearly and concisely to technical and non-technical stakeholders.
• Ability to manage multiple priorities and work effectively both independently and as part of a multidisciplinary team in a fast-paced environment.Ability to travel as needed.