Managing Consultant - M&A Data Analytics - Corporate Finance

Berkeley Research Group•Houston, TX

22h

About The Position

As a Data Analytics Manager, you'll focus on middle-market transactions, serving dynamic organizations with experienced professionals who bring a full range of advisory services to validate, optimize and create value for the Transaction Advisory Practice - all with the resources, environment, and support to help you excel. Our Financial Due Diligence solution is comprised of several integrated capabilities that support our clients' needs throughout the transaction lifecycle. From day one, you'll be empowered to help clients make the moves that will help them achieve their vision and help you achieve more, confidently.

Requirements

Bachelor's degree in Accounting required
Excellent verbal and written communication skills, team leadership, and client engagement management
Demonstrated success with analytics and relational databases
Minimum 5 years of related work experience analyzing and managing large datasets, identifying and extracting insights, visualizing and narrating findings
Strong understanding of business operating cycles, including revenue cycle, procurement, inventory, supply chain, etc.
Direct experience analyzing unit economics (price, cost, profit margins) and strong proficiency in cross-industry revenue models
Experience in a consulting practice servicing cross-industry clients, leveraging skills in accounting/finance, due diligence, M&A, and advanced analytical methods required
Expert knowledge of Alteryx for extraction and manipulation is required.
Expert level data visualization using Tableau, PowerBI, and Excel
Candidate must be able to submit verification of his/her legal right to work in the United States, without company sponsorship.

Nice To Haves

SQL, Python, and other programming languages a strong plus
CPA / MBA a strong plus

Responsibilities

Supervise and oversee engagement execution throughout the transaction process, coordinating across various stakeholders (internal teams, external teams, etc.)
Serve as the day-to-day point person on engagements, lead meetings and calls with clients and target management
Guide teams through complexities of accounting related analyses, financial data, and associated reconciliations between financial data sets
Consolidate and synthesize product, customer, and other dimension level financial and KPI deal data into trends, insights, and outliers pertinent to due diligence
Provide observations into behavior, trends, financials and business operations through data analysis and translate into illustrative visualizations
Develop dashboards to clearly articulate the insights reflected
Utilize advanced business intelligence tools including complex calculations, table calculations, mapping, data blending and optimization of data extracts
Other duties as assigned