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Senior Data Analyst

Jobgether

full-remoteseniorpermanentdata United States 3 days ago via LinkedIn

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Tags

Healthcare AnalyticsOncologyReal-World Evidence (RWE)HEORHCRUSQLPythonExcelData PipelinesClaims Data

About the role

Role: Senior Data Analyst (Healthcare/Oncology)

Work for a partner company (managed via Jobgether) as a Senior Data Analyst focused on turning complex healthcare and oncology datasets into actionable insights for pharmaceutical and life sciences strategy.

Responsibilities

  • Lead analytics initiatives for oncology patient journeys, line-of-therapy mapping, and brand performance using large structured healthcare datasets.
  • Perform exploratory data analysis to uncover treatment patterns, utilization trends, and real-world clinical pathways.
  • Analyze complex claims datasets including DRG, IQVIA, McKesson, and Symphony to generate actionable insights.
  • Support HEOR and HCRU studies (e.g., incidence, prevalence, cost-of-illness, disease burden).
  • Build, optimize, and automate data pipelines and SQL queries; use Python and Excel for advanced analysis.
  • Create dashboards and client-ready presentations using PowerPoint and visualization tools.
  • Collaborate with cross-functional teams (data engineering, consulting, strategy) to define approaches, clarify requirements, and deliver insights on time.
  • Ensure data accuracy, governance, documentation, and reproducibility across analytical outputs.

Requirements

  • 5+ years overall experience, including 3+ years in data analytics roles in healthcare/pharma/life sciences.
  • Bachelor’s or Master’s degree in a relevant field (CS, Statistics, Data Science, Life Sciences, Pharmacy, Engineering, or related).
  • Strong hands-on experience with structured healthcare claims datasets (DRG, IQVIA, McKesson, Symphony).
  • Advanced proficiency in SQL, Python, Excel, and PowerPoint.
  • Understanding of real-world evidence (RWE) sources such as EHR/EMR and CMS datasets.
  • Familiarity with line-of-therapy frameworks, treatment guidelines, and healthcare market access structures.
  • Communication skills to translate complex data for technical and non-technical audiences.

Nice to Haves

  • Experience in pharma consulting, analytics firms, or life sciences data environments.

Scraped 6/16/2026

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