Senior · National
Grant Thornton | Stax Transactions · Chicago, Illinois · Hybrid
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Analyze and model large financial and customer datasets to support M&A transactions and value creation for private equity and corporate clients.
Worth knowing: Role requires Python and Alteryx proficiency and occasional travel
Company: Job title: Transaction Advisory - Data Analytics Senior Associate Location: Chicago, IL, United States As a Transaction Advisory - Data Analytics Senior Associate within Grant Thornton | Stax Transactions, you will deliver data-driven insights that support private equity and corporate clients across the transaction lifecycle. You will work with multidisciplinary Transaction Advisory teams on acquisitions, divestitures, transaction-related analyses, and post-acquisition value creation initiatives. 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.
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