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Data & Analytics Manager

Posted 8 days agoViewed

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💎 Seniority level: Manager, 6+ years

📍 Location: US

🔍 Industry: Healthcare

🏢 Company: InStride Health👥 101-250💰 $30,000,000 Series B 9 months agoMental HealthWellnessHealth Care

🗣️ Languages: English

⏳ Experience: 6+ years

🪄 Skills: PythonSQLBusiness IntelligenceData AnalysisMachine LearningTableauData engineeringData visualizationData management

Requirements:
  • Bachelor’s degree in Healthcare Analytics, Data Science, or a related field preferred.
  • 6+ years of experience in data and analytics roles, with a proven ability to lead teams.
  • Experience in healthcare, population health, or related fields is a strong plus.
  • Excellent verbal and written communication skills.
  • Demonstrated project management skills, including prioritization and stakeholder engagement.
  • Strong problem-solving skills and the ability to think critically under pressure.
  • Flexibility and adaptability to work independently in a fast-paced environment.
  • Strong technical proficiency with SQL, R, Python, or similar data tools.
  • Expertise in business intelligence and visualization platforms (e.g., Looker, Tableau, Power BI).
  • Familiarity with machine learning concepts and practical applications.
Responsibilities:
  • Lead the design, execution, and delivery of data analysis projects to support business objectives.
  • Collaborate with cross-functional teams to understand key challenges and deliver tailored analytical solutions.
  • Supervise and mentor a team of data analysts, fostering professional development.
  • Work with the Data Engineering team to optimize data architecture and pipelines.
  • Develop and maintain interactive dashboards and visualizations using tools like Looker or Tableau.
  • Implement advanced analytic methods to drive proactive decision-making.
  • Provide expertise in population health analytics, including design and interpretation of metrics.
  • Champion data governance and integrity.
  • Manage multiple analytics projects and balance competing priorities.
  • Stay updated on emerging trends in analytics, machine learning, and data visualization.
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