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Senior Health Informatics Data Analyst

Posted 2024-11-09

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💎 Seniority level: Senior, 5+ years

📍 Location: United States

💸 Salary: 140000 - 160000 USD per year

🔍 Industry: Digital health

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: LeadershipPythonSQLApache AirflowData AnalysisETLAirflowData analysisData engineeringSpark

Requirements:
  • 5+ years of experience with healthcare products and data, particularly claims and patient data.
  • 5+ years as a healthcare data analyst or data engineer.
  • Proficiency in SQL, Python, and shell scripting for automation and ETL.
  • Experience with dbt code and data warehouse infrastructure.
  • Excellent communication skills across various contexts.
  • Strong understanding of business processes and healthcare quality measures.
Responsibilities:
  • Perform data analysis to identify patient cohorts and assess program impact.
  • Develop visualizations to demonstrate Wellth program impact and ROI.
  • Collaborate with customer data teams for data ingestion and ROI accuracy.
  • Create transformations from customer formats to Wellth standards.
  • Assist internal teams with analyses and report generation.
  • Lead data discussions with customers and cross-functional improvement initiatives.
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🔥 Senior Health Informatics Data Analyst
Posted 2024-11-09

📍 United States

🧭 Full-Time

💸 140000 - 160000 USD per year

🔍 Digital health

🏢 Company: Wellth

  • 5+ years of experience with healthcare products and data.
  • 5+ years as a healthcare data analyst or healthcare data engineer.
  • Proficient in SQL, Python, and shell scripts for analysis and ETL tasks.
  • Experienced in executing and maintaining dbt code.
  • Proficient in analyzing database schemas and data dictionaries.
  • Knowledge of data warehouse solutions like Redshift and BigQuery.
  • Excellent communication skills for customer and internal interactions.
  • Ability to work independently and understand business processes and ROI.

  • Perform data analysis to propose target patient cohorts, identify trends, and assess the Wellth program’s impact and value.
  • Develop visualizations that demonstrate the impact and ROI of the Wellth program.
  • Partner with customer data teams for data ingestion and ROI analysis.
  • Create and validate data transformations.
  • Assist with internal analysis and Quarterly Business Review reports.
  • Lead customer-facing data discussions.
  • Manage cross-functional data analysis projects.
  • Collaborate with internal teams to improve data infrastructure.

LeadershipPythonSQLApache AirflowData AnalysisETLAirflowData analysisData engineeringSpark

Posted 2024-11-09
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