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Data Analyst- Business Intelligence​/Healthcare Analytics

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Vida Health
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 110000 USD Yearly USD 110000.00 YEAR
Job Description & How to Apply Below

Employer Industry: Telehealth/Digital Health

Why consider this job opportunity
  • Salary up to $110,000
  • Direct collaboration with senior leadership and clear advancement opportunities
  • Opportunity to work within a cross‑functional team to drive actionable strategies
  • Engage in meaningful analysis that impacts member success and experience
  • Supportive environment focused on data‑driven decision‑making
  • Chance to enhance skills in a rapidly evolving digital health landscape
What to Expect (Job Responsibilities)
  • Partner with cross‑functional teams to translate business requirements into analytics solutions
  • Conduct in‑depth analysis of member journey analytics, product adoption patterns, and engagement metrics
  • Build and maintain cohort behavior tracking, funnel analyses, and member segmentation frameworks
  • Design and develop intuitive Looker dashboards for tracking client and member outcomes
  • Provide clear, actionable insights through reports, presentations, and ad hoc analyses
What is Required (Qualifications)
  • 1‑3 years of experience in data analytics, product analytics, or marketing analytics roles
  • Strong SQL proficiency for complex member behavior analysis
  • Hands‑on experience building dashboards and models in Looker
  • Deep understanding of marketing attribution, conversion funnels, and cohort analysis
  • Experience with healthcare claims data and understanding of HIPAA compliance
How to Stand Out (Preferred Qualifications)
  • Bachelor's degree in Data Science, Statistics, or a related field
  • Familiarity with GCP services and Big Query for large‑scale member data analysis
  • Experience with cloud data warehouses and data transformation tools
  • Knowledge of data privacy regulations (HIPAA, GDPR) related to marketing and member data
  • Experience building external‑client facing presentations with clear visuals

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