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Director, Analytics (Remote - Virtual Healthcare)

Posted 2024-10-21

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💎 Seniority level: Director, 8+ years

📍 Location: United States

💸 Salary: 130000 - 170000 USD per year

🔍 Industry: Healthcare

🏢 Company: Rippl Care

⏳ Experience: 8+ years

🪄 Skills: LeadershipPythonSQLBusiness DevelopmentBusiness IntelligenceData AnalysisMachine LearningTableauStrategyBusiness developmentData analysisData engineeringData science

Requirements:
  • 8+ years of experience in data analytics, preferably within the healthcare industry.
  • Bachelor’s degree required; advanced degree in data science, healthcare administration, or related field preferred.
  • Deep understanding of value-based care models and the role of data analytics.
  • Proficient in data analysis tools (e.g., SQL, Python, R, Excel) and business intelligence platforms (e.g., Tableau, Looker, Power BI).
  • Ability to work independently as an individual contributor and drive results.
  • Strong ability to translate complex data into actionable insights for non-technical stakeholders.
  • Experience building or managing self-service analytics tools.
  • Strong attention to detail and the ability to manage multiple projects.
  • Familiarity with healthcare regulations (e.g., HIPAA) and payer-provider dynamics.
Responsibilities:
  • Own and lead the company’s analytics vision, ensuring alignment with key business goals and clinical outcomes.
  • Develop and implement best practices to leverage data science, data engineering, machine learning and analytic techniques.
  • Build and maintain user-friendly, self-service analytics tools for non-technical stakeholders.
  • Translate complex datasets into clear, actionable insights.
  • Partner with cross-functional teams to identify data needs and establish key performance metrics.
  • Monitor healthcare and operational metrics to improve patient care and support value-based care initiatives.
  • Ensure data governance, accuracy, and compliance with healthcare regulations.
  • Identify opportunities for automation and improvement of analytics tools.
  • Provide executive leadership with clear data insights.
  • Develop scalable data processes and systems.
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