HEOR Senior Consultant

Brown & Brown Insurance

1d•$200,000 - $250,000

About The Position

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers. Brown & Brown is seeking a Senior Consultant - Health Economics Outcomes Research (HEOR) to join our growing team! The Senior Consultant supports client healthcare initiatives through advanced analytics, statistical modeling, and real‑world data insights. This role designs and executes data-driven solutions to evaluate health economics outcomes, return on investment, and benefit strategies, while translating complex analyses into clear, actionable insights for diverse stakeholders. The Senior Consultant collaborates across teams to develop predictive models, dashboards, and reports, contributes to health technology assessments, and ensures data accuracy and integrity. Success in this role requires strong analytical expertise, effective communication skills, a proactive problem‑solving approach, and the ability to thrive in a fast‑paced, evolving environment while building client relationships and supporting team development. Founded in 1939 as a small, two-partner firm, Brown & Brown (NYSE: BRO) and our team of companies have grown into one of the world’s largest insurance brokerages while staying true to our foundation of trust, resilience, and delivering results. With a team that is as connected locally as it is globally, our high-performing, highly collaborative team delivers innovative risk and insurance solutions. We look for individuals who embrace our culture, thrive in a collaborative environment, are driven to grow and succeed, and are committed to always doing what is right. With a unique culture built on integrity, superior capabilities and grit, we value teamwork, trust and courage. We think of ourselves as a team, so we have teammates—not employees, and leaders—not managers. Everything we do is about the greater “WE”—never “me.” While diverse in abilities and experience, we are all connected through our core values, a commitment to our local communities and a shared mission—always doing what is best for our customers.

Requirements

Bachelor’s degree (BS) in Statistics, Data Science, Mathematics, Actuarial Science, or similar.
5+ years’ experience as a Data Analyst or Data Scientist in the health sector conducting statistical analysis and reports on healthcare or claims data.
5+ years of hands-on experience with structured query languages and statistical computing (e.g., R, SQL, Python, SAS).
Knowledge of healthcare/medical economics data such as hospital/physician /ASC claims, utilization data, and healthcare industry coding systems ICD-10, CPT/HCPCS, Revenue Codes, MS/APR-DRGs, and APC.
Diverse experience with healthcare databases and data sources (claims, encounters, labs, EMR, etc.).
Experience with machine learning techniques.
Experience conducting health economics studies, using propensity score matching, and designing and executing ROI analyses.
Experience developing medical and pharmacy utilization reporting, establishing utilization trends, and identifying meaningful and actionable observations.

Responsibilities

Create and develop detailed project plans with clear guidance, task assignments, and required timelines.
Leverage real-world data and statistical modeling to recommend, test, validate, and track supporting health economics and outcomes research, return on investment (ROI), and healthcare benefit models for client businesses.
Analyze complex claims and healthcare data sets to identify trends, patterns, and insights.
Create and present reports, dashboards, and visualizations to communicate findings to stakeholders.
Support Health Technology Assessment of point solutions, programs, and initiatives.
Codevelop and implement data collection strategies, design, and maintain databases.
Collaborate with cross-functional teams to define data requirements and ensure data accuracy and integrity.
Stay up to date with industry trends and best practices in data analysis.
Use professional judgment to troubleshoot suboptimal solutions and data anomalies.
Build predictive models to accurately analyze potential outcomes and cost-savings for a given initiative(s) or event(s).
Build and document analytical pipelines in SQL, Python and R.
Develop and maintain effective cross-functional working relationships to ensure accurate, timely teamwork and project execution with assigned teams.
Translate, document, and present approaches, processes, and results of complex modeling and statistical analysis into layperson terms for diverse internal and external audiences.
Identify opportunities for process improvement and efficiency.
Build and maintain client relationships.
Support the development and training of team members and colleagues.