Databricks Data Analyst for Healthcare Analytics & Insights

Lever, Inc.

Franklin (TN)

Remote

USD 85,000 - 120,000

Full time

45 hours ago
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Job summary

EnableComp is seeking a Data Analyst to transform complex healthcare data into actionable insights that drive operational and financial decisions across revenue cycle management. You will use SQL, BI tools, and data models to identify trends, build dashboards, and deliver executive-ready analyses.

Collaborating with Operations, Account Management, Product, IT, and Data teams, you will ensure data quality, validate results, and present findings to diverse audiences while supporting continuous

Qualifications

  • Bachelor’s degree required or equivalent combination of education and experience.
  • 5+ years of experience in data analysis, reporting, or working with relational databases.
  • 3-5 years of experience in healthcare, revenue cycle, or SaaS environment preferred.
  • Familiarity with healthcare terminology (CPT codes, DRG, claims).

Responsibilities

  • Analyze large, complex datasets to identify trends and actionable insights.
  • Develop, maintain, and optimize reports, dashboards, and analytical models.
  • Translate analytical findings into executive-ready summaries and presentations.
  • Partner with stakeholders to define requirements and deliver data-driven solutions.
  • Query and manipulate data using SQL and other tools to prepare datasets.

Skills

Analytical thinking
Data storytelling
Cross-functional collaboration

Education

Bachelor’s degree in Analytics, Finance, Business, Computer Science, Healthcare Administration or related field

Tools

Databricks Data Intelligence Platform
Power BI
Tableau
Qlik
Claude Code

Job description

EnableComp is seeking a Data Analyst to transform complex healthcare data into actionable insights that drive operational and financial decisions across revenue cycle management. You will use SQL, BI tools, and data models to identify trends, build dashboards, and deliver executive-ready analyses.

Collaborating with Operations, Account Management, Product, IT, and Data teams, you will ensure data quality, validate results, and present findings to diverse audiences while supporting continuous

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