Transaction Services - Data Analytics Senior Associate

As a Transaction Services Data Analytics Senior Associate at Riveron, you will provide crucial data-driven insights for complex transactions involving private equity and corporate clients. Your role analyzes extensive datasets to uncover trends and deliver actionable recommendations that guide clients through due diligence, post-deal performance, and exit strategies. You’ll translate complex data into clear insights for clients and internal teams, ensuring strategic decisions are well-informed. In this dynamic, fast-paced environment, you will stay ahead of industry trends and emerging technologies, enhancing our analytical approach, and delivering impactful results throughout the deal lifecycle. Who You Are: Bachelor’s or master's in accounting, data science, data analytics, statistics, economics, or related field CPA and/or audit experience preferred but not required Minimum 2 years of total relevant experience involving a combination of financial due diligence for transaction services and data analytics Minimum 1 year of transaction experience focused on quality of earnings, net working capital, and cash flows Minimum 1 year of experience with one or a combination of the following: Data Visualization Tools: Experience with D3.js , Tableau, PowerBI, Spotfire, or similar platforms. Data Management: Proficiency in Hadoop, SQL, Alteryx, or comparable technologies. Analytics Platforms: Knowledge of SAS, Azure, or related systems. Statistical Software: Familiarity with SPSS, Minitab, or similar packages. Programming Languages: Competence in Python, R, or other relevant languages. You thrive in an ever-changing, dynamic work environment You readily identify problems and instinctively look for solutions You demonstrate analytical rigor and strong written and verbal communication skills You have the ability and desire to travel as required based on client location What You'll Do: Analyze extensive datasets using data management technologies (e.g., Alteryx, Hadoop, SQL) to