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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Transaction Advisory - Data Analytics Manager - **Company:** Grant Thornton - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $161,920.0 - **Contract:** Internship / Graduate position - **Skills:** Microsoft Excel, Data Analysis, Big Data, Information Systems, Data Cleansing, Data Visualization, Relational Databases, Python (Programming Language), Operational Data Store, Microsoft PowerPoint, Power BI, SQL Databases, Tableau (Software), Virtualization Technology, Information Technology, Data Analytics, Alteryx - **Published:** August 5, 2026 - **Apply:** https://dejobs.org/x/x/818BA3DAE63D47F9B34A4B28F8F46389/job/ ## About the Role * 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. ## Description As a Transaction Advisory - Data Analytics Manager 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. * 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)