M&A Data Analytics Manager - LSHC

About the role

The Deloitte Strategy & Transactions team provides comprehensive end-to-end support and advisory services across various sectors including mergers and acquisitions (M&A), valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, and sustainability. Our team works closely with clients throughout their transformational initiatives, helping them navigate complex and highly regulated environments.

Responsibilities

• Gather, analyze, validate, and normalize transactional, commercial, and operational data (e.g., product-level sales, claims data, rebate and chargeback data, inventory, pipeline, and customer/channel data) to develop and test hypotheses for M&A deals.
• Provide financial, accounting, operational, and commercial due diligence to M&A deal teams.
• Utilize visual analytics to tell a compelling story of revenue quality, pricing realization, reimbursement exposure, and operational performance.
• Provide meaningful insights to clients to support their deal investment hypotheses.
• Interact directly with C-suite and private equity executives to advise on critical aspects of M&A transactions within the Life Sciences & Health Care sector.
• Coordinate with client business and IT personnel to identify, collect, and validate transactional and operational data in highly regulated environments.
• Analyze product- and customer-level revenue and margin trends, pricing realization, customer concentration, rebate structures, and chargebacks common in life sciences distribution models.
• Assess revenue quality, payer mix, reimbursement exposure, and contract dynamics within healthcare services and medical products businesses.
• Design and develop visualizations and dashboards that deliver crucial financial and operational buy and sell-side insights.
• Directly advise clients on critical aspects of M&A transactions within the Life Sciences & Health Care sector.
• Collaborate with other transaction service analytics professionals, deal teams, and clients to produce analyses within fast-paced transaction deadlines.
• Lead and mentor a team of consultants, fostering professional development, promoting collaboration, and establishing clear expectations when working together towards client deliverables on projects.

Qualifications

• Bachelor's Degree in Accounting, Finance, Mathematics, Statistics, Economics or similar.
• Minimum 5 years of experience analyzing large datasets.
• Experience analyzing or managing accounting, financial or transactional data.
• Experience working within life sciences, healthcare, pharmaceutical, medical device, biotech, healthcare services, or other regulated industries.
• Strong understanding of multiple business cycles (e.g., Order-to-cash revenue cycle, procurement, Supply Chain, Inventory, etc.).
• Understanding of revenue models common to life sciences and healthcare, including distributor models, government and GPO contracts, capitation and membership, and reimbursement dynamics.
• Demonstrated knowledge of business analytics and relational database concepts.
• Experience leveraging AI tools to extract and visualize insights from large data sets.
• Experience in ETL tools for data extraction and manipulation (e.g., Alteryx, etc.).
• Experience designing and storytelling via data visualization (e.g., Tableau, Power BI, Excel Charts, etc.).
• Prior experience at a large or mid-size consulting firm focused on finance or accounting services.
• Minimum of 2+ years of experience managing teams in a consulting environment.
• Strong working knowledge of data structures and database design.
• Knowledge of how to use programming languages for data analyses: SQL, Python, R or other languages.
• Master of Business Administration or similar degree.
• CPA, CA certification.

Pay

$141,200 to $278,300

Schedule

Full-time