Job Description
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Company Overview
A leading global professional services organization provides end-to-end advisory and consulting services to help organizations navigate mergers and acquisitions, business transformation, valuation, restructuring, cost optimization, sustainability initiatives, and strategic growth opportunities. The company partners with clients across highly regulated industries, helping them manage risk, unlock value, and achieve successful outcomes throughout complex transactions and transformational projects.
The organization is seeking an M&A Data Analytics Manager to support transaction advisory teams by gathering, validating, analyzing, and normalizing transactional, commercial, financial, and operational data for mergers and acquisitions. This role plays a critical part in developing and testing investment hypotheses, delivering actionable insights, and helping clients make informed transaction decisions.
Key Responsibilities
- Gather, analyze, validate, and normalize transactional, commercial, and operational data to support M&A transaction activities.
- Collaborate with client business and IT teams to identify, collect, and validate data within highly regulated environments.
- Assess revenue quality, payer mix, reimbursement exposure, pricing dynamics, and contract structures.
- Design and develop dashboards, visualizations, and reporting tools that provide actionable buy-side and sell-side insights.
- Analyze financial and operational performance metrics to identify trends, risks, and opportunities.
- Utilize business intelligence and analytics tools to generate meaningful insights that support investment theses and transaction decisions.
- Present findings and recommendations directly to clients, including C-suite executives and private equity stakeholders.
- Work closely with transaction service professionals and deal teams to deliver analyses within demanding transaction timelines.
- Lead project workstreams and manage multiple priorities in fast-paced environments.
- Mentor and develop consultants, fostering collaboration, accountability, and professional growth across project teams.
Required Qualifications
- Bachelor’s degree in Accounting, Finance, Mathematics, Statistics, Economics, or a related field.
- Minimum of 5 years of experience analyzing large datasets.
- Experience working with accounting, financial, transactional, or operational data.
- Strong understanding of business processes and cycles, including order-to-cash, procurement, supply chain, inventory management, and revenue operations.
- Demonstrated knowledge of business analytics methodologies and relational database concepts.
- Experience leveraging AI tools to extract, analyze, and visualize insights from large datasets.
- Hands-on experience with ETL and data preparation tools such as Alteryx or similar platforms.
- Experience creating data visualizations and dashboards using tools such as Tableau, Power BI, Excel, or comparable technologies.
- Strong written and verbal communication skills with the ability to present complex findings clearly.
- Ability to work independently and collaboratively within cross-functional teams.
- Proven project leadership and stakeholder management capabilities.
- Strong attention to detail and commitment to delivering high-quality work.
- Ability to manage multiple priorities and meet deadlines in dynamic environments.
- Willingness to travel up to 20% based on client and project requirements.
Preferred Skills
- Experience supporting mergers and acquisitions, transaction services, due diligence, or private equity engagements.
- Knowledge of healthcare, life sciences, or other highly regulated industries.
- Strong client service mindset with experience engaging executive-level stakeholders.
- Ability to build and maintain professional relationships across diverse teams and organizations.
- Experience mentoring, coaching, and developing team members.
Application Timeline
- Recruiting for this opportunity is scheduled to close on July 27, 2026.
Disclaimer
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