Healthcare Data Analyst

About the role

Raventra Health is a medical services company providing outsourced billing, coding, and claims processing solutions for provider groups and hospitals. As a Healthcare Data Analyst, you will analyze healthcare and revenue cycle data to identify trends, performance gaps, and opportunities for improvement.

Key responsibilities

• Analyze healthcare and revenue cycle data from billing, claims, payment, and accounts receivable systems.
• Monitor key performance indicators such as collections, denial rates, claim volumes, reimbursement, and AR aging.
• Identify trends, anomalies, and performance gaps across client accounts and operational workflows.
• Build and maintain analytical reports and dashboards for internal and client‑facing teams.
• Investigate data discrepancies and work with relevant teams to validate and resolve data issues.
• Translate analytical findings into clear insights and actionable recommendations.
• Support client performance reviews with data analysis and relevant metrics.
• Conduct ad‑hoc analysis to answer operational and business questions.
• Collaborate with billing, coding, claims, AR, and client success teams on data‑driven improvement initiatives.

Required profile

• 2+ years of experience in data analysis, healthcare analytics, revenue cycle analytics, or a related analytical role.
• Experience working with healthcare, financial, or operational datasets.
• Strong Excel skills, including pivot tables, lookups, formulas, and data analysis.
• Experience with reporting or business intelligence tools such as Power BI or Tableau.
• Working knowledge of healthcare revenue cycle processes and related performance metrics.
• Strong analytical and problem‑solving skills with excellent attention to detail.
• Ability to communicate complex findings clearly to both technical and non‑technical stakeholders.
• Ability to manage multiple analytical requests and meet deadlines in a remote environment.

Required skills

• Excel (pivot tables, lookups, formulas, data analysis)
• Power BI
• Tableau
• SQL
• Epic
• Athena
• eClinicalWorks