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. Our team works closely with clients at every stage of their journey, helping them navigate challenges in complex and highly regulated environments.

Responsibilities

• 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 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
• Work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence
• 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
• Provide meaningful insights to our clients that are crucial to their deal investment hypothesis
• Collaborate with other transaction service analytics professionals, members of the 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

Requirements

• 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.)
• 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

Qualifications

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to mentor and provide clear guidance to others