Job Description
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Company Overview
A leading global professional services organization provides strategic advisory and transaction support to businesses navigating mergers and acquisitions, business transformations, valuation, restructuring, cost optimization, infrastructure investments, and sustainability initiatives. The organization partners with clients throughout the transaction lifecycle, helping them manage complex challenges, reduce risks, and achieve long-term business value in highly regulated industries.
The organization is seeking an M&A Data Analytics Manager – LSHC to support transaction engagements within the Life Sciences & Health Care (LSHC) sector, including pharmaceuticals, medical devices, biotechnology, healthcare services, healthcare technology, distribution, and contract research/manufacturing organizations.
Key Responsibilities
- Serve as a key member of M&A deal teams by gathering, analyzing, validating, and normalizing transactional, commercial, and operational data.
- Develop and test investment hypotheses through detailed analysis of product-level sales, claims, inventory, pipeline, customer, and channel data.
- Collaborate with cross-functional teams performing financial, accounting, operational, and commercial due diligence.
- Analyze revenue quality, pricing realization, customer concentration, rebate programs, chargebacks, reimbursement exposure, and contract structures.
- Evaluate payer mix, operational performance, and revenue trends within healthcare and life sciences organizations.
- Design and develop dashboards, visualizations, and business intelligence solutions that communicate actionable insights.
- Identify trends, anomalies, and performance drivers within financial and operational datasets.
- Coordinate with client business and IT teams to collect, validate, and manage data within regulated environments.
- Provide strategic insights and recommendations to C-suite executives, private equity firms, and senior stakeholders.
- Lead project workstreams and support transaction engagements under tight deadlines.
- Mentor and develop consultants while promoting collaboration, accountability, and professional growth.
- Contribute to client deliverables and support the successful execution of buy-side and sell-side transaction analyses.
Required Qualifications
- Bachelor’s degree in Accounting, Finance, Mathematics, Statistics, Economics, or a related field.
- Minimum of 5 years of experience analyzing large and complex datasets.
- Experience analyzing accounting, financial, transactional, or operational data.
- Experience within life sciences, healthcare, pharmaceuticals, biotechnology, medical devices, healthcare services, or other regulated industries.
- Strong understanding of key business processes, including Order-to-Cash, Procurement, Supply Chain, and Inventory Management.
- Knowledge of pricing models, reimbursement structures, government contracts, GPO agreements, distributor models, and healthcare revenue cycles.
- Demonstrated understanding of business analytics methodologies and relational database concepts.
- Experience utilizing AI-powered tools to extract insights and support data analysis.
- Hands-on experience with ETL and data preparation tools such as Alteryx or similar platforms.
- Experience creating dashboards and visual storytelling solutions using Tableau, Power BI, Excel, or similar tools.
- Strong communication, presentation, and stakeholder management skills.
- Ability to manage multiple priorities in a fast-paced transaction environment.
- Ability to travel up to 20% based on business and client requirements.
Preferred Qualifications
- Prior experience with a large or mid-sized consulting firm specializing in finance, accounting, or transaction advisory services.
- Experience supporting healthcare or life sciences M&A transactions.
- Minimum of 2 years of team leadership or people management experience within a consulting environment.
- Strong understanding of data structures, data modeling, and database design principles.
- Experience using programming languages such as SQL, Python, R, or similar analytical tools.
- Experience presenting findings and recommendations to executive-level stakeholders.
- Master of Business Administration (MBA) or a related advanced degree.
- CPA, CA, or similar professional certification.
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