Senior Consultant - Mergers and Acquisitions Data Analytics

About This Role

This Senior Consultant role within the Deloitte Strategy & Transactions team focuses on Mergers and Acquisitions (M&A) Data Analytics. The position involves gathering, normalizing, validating, and analyzing transactional data to develop hypotheses and provide crucial insights for clients throughout the M&A lifecycle.

Responsibilities

• Gather, normalize, validate, and analyze transactional data (e.g., sales and inventory) to develop and test deal hypotheses
• Work as part of cross-functional teams providing financial, accounting, operational, and tax due diligence
• Utilize visual analytics skills to tell a compelling story of findings
• Use business intelligence tools and data analytic skillset to provide meaningful insights to clients
• Interact directly with C-suite and private equity executives, advising on critical aspects of M&A transactions
• Coordinate with FP&A and Strategic Finance personnel to identify, collect, and validate data from client databases
• Analyze financial and key performance indicator deal data for trends and outliers
• Identify opportunities to design and develop visualizations and dashboards for effective analysis of large transactional datasets
• Directly advise clients
• Develop and maintain client relationships, manage projects, and lead engagements

Requirements

• 2-4 years experience analyzing large datasets
• Demonstrated understanding of data manipulation tools
• Demonstrated knowledge of advanced business analytics and data mining solutions
• Demonstrated understanding of multiple business cycles (e.g., Order-to-cash revenue cycle, procurement, Supply Chain, Inventory)
• Experience designing and storytelling via data visualization (e.g., Tableau, Power BI, Excel Charts)
• Experience analyzing or managing accounting, financial, or transactional data
• Ability to travel up to 20%

Qualifications

• 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

Nice to Have

• 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
• Master of Business Administration or similar degree

Skills

* Required skills

Certifications