M&A Data Analytics Senior Consultant

Work you'll do

• Gathering, normalizing, validating, and analyzing transactional data, including sales and inventory data, to develop and test deal hypotheses
• Working with cross-functional teams across financial, accounting, operational, and tax due diligence to manage data analysis and support transaction execution
• Using business intelligence tools and data analytics to generate meaningful insights tied to client investment hypotheses and transaction decisions
• Identifying opportunities to design and develop visualizations and dashboards that enable effective and repeatable analysis of large transactional datasets
• Advising clients directly, including C-suite and private equity executives, while coordinating with FP&A and Strategic Finance personnel to identify, collect, and validate data from client databases

Qualifications

• Required:
• Bachelor’s Degree in Accounting, Finance, Management Information Systems, Mathematics, Statistics, Economics or similar
• 2-4 years of experience analyzing large datasets, including demonstrated understanding of data manipulation tools
• Demonstrated knowledge of advanced business analytics and data mining solutions
• Demonstrated understanding of multiple business cycles (examples include but not limited to Order-to-cash revenue cycle, procurement, Supply Chain, Inventory, etc.)
• Experience designing and storytelling via data visualization (examples include but not limited to Tableau, Power BI, Excel Charts, etc.)
• Experience analyzing or managing accounting, financial or transactional data
• Demonstrable evidence of effective team leadership, client relationship development, preferably in a client service setting
• Ability to travel up to 20%, on average, based on the work you do and the clients and industries/sectors you serve
• Master of Business Administration or similar degree
• Preferred:
• Strong working knowledge of data structures and database design
• Knowledge of GAAP, particularly revenue recognition and ASC 606
• Experience performing ETL/data manipulation using Alteryx or similar tools
• Experience designing data visualizations with Tableau, Power BI, or similar tools
• Knowledge of how to use programming languages for data analyses: SQL, Python, R or other languages.
• Statistical methods in support of data analysis
• CPA, CA certification