M&A Financial Due Diligence Data Analytics Consultant
Deloitte · Boston, MA · Yesterday
Hybrid$93k–$171k/yrFull-time
About the role
The Deloitte Strategy & Transactions team provides comprehensive end-to-end support and advisory services in areas such as mergers and acquisitions (M&A), valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, and sustainability. We work closely with clients throughout their transformational initiatives, helping them navigate challenges and implement practical solutions.
Responsibilities
- 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
- Collaborating with other transaction service analytics professionals, members of the deal teams, and clients to produce analyses within fast-paced transaction deadlines
Requirements
- A Bachelor's Degree in Accounting, Finance, Management Information Systems, Mathematics, Statistics, Economics, or a related field
- One or more 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% based on the work you do and the clients and industries/sectors you serve
Qualifications
- Bachelor's Degree in Accounting, Finance, Management Information Systems, Mathematics, Statistics, Economics, or a related field
- One or more 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% based on the work you do and the clients and industries/sectors you serve