Remote Senior Data Analyst

Description:

• 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.
• Your responsibilities will include analyzing medical and pharmacy claims data to identify trends, cost drivers, and opportunities for optimization.
• You will support provider contracting and payer negotiations by evaluating reimbursement models, pricing structures, and fee schedules.
• You will develop financial models to assess payer performance, reimbursement strategies, and cost containment opportunities.
• Collaboration with sales and contracting teams will be essential to provide data-driven insights that support growth initiatives.
• You will work with Medicare, Medicaid, and commercial claims data to track reimbursement trends and regulatory changes.
• Building reports and dashboards using SQL, Python, Power BI, or Tableau to visualize key business metrics will be part of your role.
• You will evaluate the financial impact of alternative payment models, value-based care initiatives, and provider incentives.
• Ensuring data integrity and accuracy in claims analysis to support strategic decision-making is crucial.
• You will partner with internal teams to streamline claims processing, payment accuracy, and operational efficiencies.

Requirements:

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

Benefits:

• This position offers the flexibility of remote work.
• You will have the opportunity to work in a dynamic and impactful role within the healthcare sector.
• The role provides a chance to collaborate with various teams and contribute to strategic decision-making.
• You will gain exposure to a wide range of healthcare data and reimbursement models.
• The position supports professional growth and development in the field of data analytics and healthcare.