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
- You are willing and able to travel as needed to meet client and business needs, as travel is an expected part of this role.
What You'll Do:- Analyze extensive datasets using data management technologies (e.g., Alteryx, Hadoop, SQL) to develop cleansed and organized datasets that will serve as input into M&A models, adjustments to EBITDA tables, net working capital analyses, or other key financial metrics.
- Employ statistical software (e.g., SPSS, Minitab) and programming languages (e.g., Python, R) to perform in-depth analysis and identify trends, risks, and opportunities within transaction data.
- Translate complex data findings into clear, strategic recommendations for due diligence and transaction models.
- Utilize the application of analytics platforms (e.g., SAS, Azure) throughout the transaction lifecycle to make high-quality, data-driven decision-making and insights.
- Stay updated with industry trends and emerging technologies to enhance our data analytics capabilities and support the delivery of impactful results for clients.
Applications for this evergreen opportunity will be accepted through Dec 31, 2026.
