M&A Data Analytics Manager - LSHC

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

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 a given M&A deal.
• Work as part of cross-functional teams providing financial, accounting, operational, and commercial due diligence, managing and analyzing data in regulated life sciences and healthcare environments, and utilizing visual analytics to tell a compelling story of findings around revenue quality, pricing realization, reimbursement exposure, and operational performance.
• Provide meaningful insights to clients through the use of business intelligence tools and data analytic skills, advising 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 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.
• 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.

Benefits

This is not a 'back-office' position; this is front-line client interaction with significant opportunity for growth and advancement. Limited immigration sponsorship may be available.