Manager - Mergers and Acquisitions Data Analytics

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. We offer comprehensive end-to-end support and advisory services, covering areas such as mergers and acquisitions (M&A), valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, and sustainability. The team works closely with clients at every stage of their journey, helping them navigate challenges in complex and highly regulated environments, avoid financial pitfalls, and implement practical solutions before, during, and after major transformational projects or transactions creating lasting impact.

This role will focus on transactions within the Life Sciences & Health Care (LSHC) sector, including medical devices, pharmaceuticals, CRO/CDMO, distribution, healthcare providers, payors, and healthtech.

Recruiting for this role ends 04/6/26.

Work You'll Do

You will be a key member serving client M&A deal teams through gathering, analyzing, validating, and normalizing 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 a given M&A deal.

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in regulated life sciences and healthcare environments and utilize your visual analytics skills to tell a compelling story of our findings around revenue quality, pricing realization, reimbursement exposure, and operational performance.

You will be using business intelligence tools and your data analytic skillset to provide meaningful insights to our clients that are crucial to their deal investment hypothesis. You will leverage your client service skillset directly interacting with C-suite and private equity executives providing advice on some of the most critical aspects of the M&A transaction within the Life Sciences & Health Care sector.

• Coordinate with client business and IT personnel to identify, collect and validate transactional and operational data within 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
• Analyze financial & key performance indicator deal data for trends and outliers
• Directly advise clients

Team members collaborate with other transaction service analytics professionals, members of the deal teams and clients to produce analyses within fast-paced transaction deadlines. This is not a 'back-office' position; this is front-line client interaction with significant opportunity for growth and advancement.

You will also lead and mentor a team of consultants, fostering professional development, promoting collaboration, and establishing clear expectations when working together towards client deliverables on projects.

The Team

Understanding of the M&A landscape, market experience, and access to our global network of advisors means we have the capabilities to help clients confidently pursue strategic transactions in both domestic and global markets - this includes managing the entire M&A lifecycle.

Working with our clients to develop growth strategies based on their organizational goals, our services are designed to help clients be prepared to capitalize on opportunities during the merger, acquisition or divestiture process in environments with complex pricing, reimbursement, regulatory, and supply chain considerations.

Qualifications

Required:

• 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 an