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HEOR Senior Consultant

Roles & Responsibilities

  • Bachelor's degree in Statistics, Data Science, Mathematics, Actuarial Science, or a related field.
  • 5+ years of experience as a Data Analyst or Data Scientist in the health sector with statistical analysis and reporting on healthcare/claims data.
  • 5+ years of hands-on experience with SQL, Python, R, and SAS for data analysis and modeling.
  • Knowledge of healthcare data sources and coding systems (ICD-10, CPT/HCPCS, DRGs) and diverse healthcare databases.

Requirements:

  • Create and develop detailed project plans with guidance, task assignments, and required timelines.
  • Leverage real-world data and statistical modeling to support HEOR, ROI, and healthcare benefit models; test, validate, and track outcomes.
  • Build predictive models, dashboards, and reports; translate complex analyses into clear, actionable insights for stakeholders.
  • Collaborate cross-functionally to define data requirements, ensure data accuracy and integrity, and develop/maintain analytical pipelines in SQL, Python, and R.

Job description

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.

How You Will Contribute: 

  • 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.

Skills & Experience to be Successful:

  • 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 statisticalanalysis 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.

#LI-DA1

Pay Range

$200,000 - $250,000 Annual

The pay range provided above is made in good faith and based on our lowest and highest annual salary or hourly rate paid for the role and takes into account years of experience required, geography, and/or budget for the role.

Teammate Benefits & Total Well-Being

We go beyond standard benefits, focusing on the total well-being of our teammates, including:

  • Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance  
  • Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement 
  • Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services
  • Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more. 

Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations. 

The Power To Be Yourself  

As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, “The Power to Be Yourself”. 

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