Managing Consultant (Healthcare Analytics)

TL;DR

Managing Consultant (Healthcare Analytics): Delivering data-driven solutions for complex legal, regulatory, and business challenges in the healthcare sector with an accent on electronic healthcare data analysis. Focus on designing statistical and financial models, managing junior staff, and developing high-impact client deliverables.

Location: Hybrid (office 3-4 days a week). Must be based in or near Boston, Chicago, DC, New York, Nashville, or Tampa. Must have legal right to work in the U.S. without company sponsorship.

Salary: $140,000 – $185,000

Company

A global consulting firm combining academic credentials with business expertise to solve complex challenges in economics, disputes, investigations, and corporate finance.

What you will do

• Plan and manage all aspects of small to medium-sized client engagements and discrete segments of larger projects.
• Develop complex financial models and analyses using transactional and financial data.
• Delegate assignments to staff, monitor progress, and ensure the accuracy of work products.
• Design client deliverables and make significant contributions to expert reports.
• Manage existing client relationships and communicate results effectively.
• Participate in business development initiatives and internal staff training and recruiting.

Requirements

• BS/BA in quantitative analytics (Accounting, Finance, Economics, Information Systems, Mathematics) or a related field.
• Minimum of 6 years of prior work experience in data analytics.
• Advanced level proficiency in SQL is required.
• Experience in disputes & investigations or healthcare research and analysis.
• Strong verbal and written communication skills.
• Prior experience supervising and managing team members.

Nice to have

• Proficiency in programming languages such as R, Python, STATA, or SAS.

Culture & Benefits

• Agile and connected corporate culture emphasizing interdisciplinary collaboration.
• Opportunity to work alongside world-leading academics, industry experts, and data scientists.
• Mid-to-senior level position with clear paths for advancement within the organization.
• Inclusive environment as an Equal Opportunity Employer.