M&A Financial Due Diligence Data Analytics Consultant
- 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
- Working with teams and 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
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
- Bachelor's Degree in Accounting, Finance, Management Information Systems, Mathematics, Statistics, Economics or similar
- 1 plus 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
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- 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
- Master of Business Administration or similar degree
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