Remote Healthcare Data Analyst — Build Metrics Pipelines

BairesDev

Comisión de Fomento de Perú

Remote

ARS 136,428,000 - 197,062,000

Full time

26 hours ago
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Benefits offered by this job

100% remote work
USD or local currency compensation
Hardware provided
Flexible hours
Paid parental leaves
Mentorship and growth opportunities

Job summary

BairesDev is seeking a Healthcare Data Analyst to work at the intersection of clinical and biometric data, analyzing EMR and device signals to deliver clinical and operational value. You’ll develop robust metrics for go-lives and expansions and build pipelines to display them automatically.

Collaborate cross-functionally with product and data engineering teams; bring 5+ years of data analysis experience in healthcare, Databricks expertise, solid statistics, data visualization, and advanced

Qualifications

  • 5+ years of experience in data analysis, with exposure to healthcare or clinical data.
  • Strong experience with Databricks.
  • Solid statistics background.
  • Experience with data visualization.
  • Familiarity with Claude Code.
  • Advanced proficiency in English.

Responsibilities

  • Analyze clinical EMR data and biometric device data to generate healthcare-focused insights.
  • Synthesize data from multiple rich clinical and operational sources.
  • Develop robust metrics that demonstrate product value during go-lives and expansions.
  • Build pipelines to automatically generate and display defined healthcare metrics.
  • Collaborate cross-functionally with product and data engineering teams.

Skills

Data analysis
Healthcare data
Statistics
Data visualization
English proficiency

Tools

Databricks
Claude Code

Job description

BairesDev is seeking a Healthcare Data Analyst to work at the intersection of clinical and biometric data, analyzing EMR and device signals to deliver clinical and operational value. You’ll develop robust metrics for go-lives and expansions and build pipelines to display them automatically.

Collaborate cross-functionally with product and data engineering teams; bring 5+ years of data analysis experience in healthcare, Databricks expertise, solid statistics, data visualization, and advanced

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