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Director - Data Analytics & Network Evaluation

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Brown & Brown
Full Time position
Listed on 2026-02-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview

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 Director - Data Analytics and Network Evaluation to join our growing team!

We are seeking an experienced healthcare analytics professional to lead advanced analytics strategy, client advisory, and data innovation across our employer and carrier portfolio. This role combines direct client consulting, technical leadership in analytic methods and tools, and team development to deliver data‑driven insights for insured and self‑insured healthcare programs. In this role, you will act as a trusted advisor to enterprise clients, shaping data strategy, analytics roadmaps, and value‑realization initiatives.

It requires deep healthcare expertise, strong communication skills, and the ability to translate complex analytics into business‑ready insights that inform multimillion‑dollar decisions. You will collaborate with cross‑functional teams, influence product and solution development, and partner with organizational leaders to establish analytics best practices. Your work will directly impact client strategy, vendor selection, benefit design, and long‑term cost‑containment efforts.

How You Will Contribute Analytic Design & Strategic Support
  • Contribute to the development and refinement of analytic frameworks, models and analytic report structures.

  • Support project leads in shaping methodologies, guiding analytics decisions and ensuring alignment with client goals.

  • Work with actuarial, HEOR and clinical staff to develop advanced analytical and statistical techniques to evaluate financial, clinical and operational performance.

  • Help troubleshoot data issues, evaluate assumptions and ensure analytic rigor and accuracy

  • Translate complex analytics into executive-level and board-ready insights.

Client Advisory
  • Advise senior client stakeholders on medical and pharmacy cost drivers and utilization trends.

  • Help lead network strategy evaluations and provider network valuation analyses.

  • Deliver vendor performance analytics and support RFP and vendor selection processes.

  • Develop and present ROI and value realization frameworks for client initiatives.

  • Support and assist in leading complex client engagements end-to-end, from strategy through execution.

Operational Excellence & Innovation
  • Help build scalable analytic tools, datasets, models and reporting assets used across clients.

  • Contribute to process improvements that strengthen efficiency, quality and consistency across engagements.

  • Support documentation, version control, and transparent communication of methodologies and analytic logic.

  • Stay informed on industry trends, emerging analytic techniques, and regulatory developments to inform ongoing improvements and client strategy.

Team & Practice Leadership
  • Build, mentor, and manage high-performing analytics teams.

  • Establish coding standards, documentation frameworks, and QA processes.

  • Oversee hiring, onboarding, performance management, and career development.

  • Foster a culture of innovation, continuous learning, and professional growth.

Skills & Experience to be Successful
  • Experience with Uniform Discount and Data Specification (UDS) submissions (preferred)

  • Experience supporting underwriting analytics and insurance pricing models (preferred)

  • Experience with value-based care and alternative payment models (preferred)

  • A Master’s degree in Biostatistics, Public Health, Data Science, or a related field (preferred)

  • Demonstrated experience leading analytics transformation initiatives (preferred)

  • A Bachelor’s degree in Mathematics, Statistics, Actuarial Science, Economics, Computer Science, or a related quantitative field.

  • A minimum of 10 years of progressive experience in healthcare analytics or data science.

  • At least 5 years of experience in a leadership, advisory, or client-facing consulting role.

  • Advanced proficiency in structured query languages and statistical programming tools, including SQL, Python, R, and SAS.

  • Demonstrated experience leading complex claims and pharmacy analytics initiatives.

  • Deep knowledge of healthcare data, including medical and pharmacy claims, eligibility,…

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