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Nomi Health

Senior Data Analyst

Sorry, this job was removed at 04:16 p.m. (PST) on Thursday, May 01, 2025
Remote
Remote

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We are seeking an experienced Senior Data Analyst with a strong background in healthcare claims, payer analytics, and reimbursement models. You will play a key part in analyzing medical and pharmacy claims data to support contract negotiations, provider reimbursement strategies, and sales initiatives. You will have a deep understanding of payer systems, Medicare reimbursement structures, fee schedules, and healthcare financial models.

How you will make an impact

  • Analyze medical and pharmacy claims data to identify trends, cost drivers, and opportunities for optimization.
  • Support provider contracting and payer negotiations by evaluating reimbursement models, pricing structures, and fee schedules.
  • Develop financial models to assess payer performance, reimbursement strategies, and cost containment opportunities.
  • Collaborate with sales and contracting teams to provide data-driven insights that support growth initiatives.
  • Work with Medicare, Medicaid, and commercial claims data to track reimbursement trends and regulatory changes.
  • Build reports and dashboards using SQL, Python, Power BI, or Tableau to visualize key business metrics.
  • Evaluate the financial impact of alternative payment models, value-based care initiatives, and provider incentives.
  • Ensure data integrity and accuracy in claims analysis to support strategic decision-making.
  • Partner with internal teams to streamline claims processing, payment accuracy, and operational efficiencies.

What we are looking for

  • Bachelor’s or Master’s degree in Healthcare Analytics, Statistics, Finance, Data Science, or a related field.
  • 3+ years of experience in healthcare claims analysis, payer analytics, or reimbursement modeling.
  • Strong knowledge of Medicare and commercial payer reimbursement methodologies.
  • Experience with medical and pharmacy claims data, provider fee schedules, and healthcare financial modeling.
  • Proficiency in SQL, Python, R for data analysis.
  • Familiarity with contract negotiations, network management, and provider relations is a plus.
  • Excellent communication skills to present data-driven insights to stakeholders.

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