Salary Range: 100000 to 180000 (Currency: USD) (Pay period: per-year-salary)

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.