As a Transaction Services Data Analytics Manager 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 all while ensuring data is reconciled to core financial statements or metrics of target companies. You’ll maintain high service standards while nurturing client relationships and pursuing new business opportunities. 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:
- CPA and/or audit experience preferred but not required
- Minimum 5years of total relevant experience involving a combination of financial due diligence for transaction services and data analytics
- Minimum 2 years of transaction experience focused on quality of earnings, net working capital, and cash flows
- Minimum 2 years 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 have a passion for developing and maintaining client relationships
- 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 develop detailed EBITDA tables, net working capital analyses, and 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.
- Utilizing core accounting and financial due diligence skills, ensure all relevant data is reconciled or tied to key financial data of target companies, where and when possible.
- Lead data-driven discussions in management meetings, translate and communicate complex data findings into clear, strategic recommendations for due diligence findings and transaction models to clients and internal deal teams.
- Oversee the application of analytics platforms (e.g., SAS, Azure) throughout the transaction lifecycle to ensure high-quality, data-driven decision-making and insights.
- Mentor junior team members in data analysis techniques and tools, fostering a culture of analytical excellence and continuous learning.
- Stay updated with industry trends and emerging technologies to enhance our data analytics capabilities and deliver impactful results for clients.
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Last updated on Aug 12, 2024