Omada Health

Senior Data Analyst, Clinical Quality and Product

Omada Health

full-time

Posted on:

Location Type: Remote

Location: Remote • California, New York, Washington • 🇺🇸 United States

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Salary

💰 $142,600 - $178,300 per year

Job Level

Senior

Tech Stack

PythonSQLTableau

About the role

  • Partner with Clinical Quality Program Managers and collaborate with engineering, product, analytics, and commercial teams to align on priorities, evaluate trade-offs, and deliver actionable insights.
  • Oversee the development of dashboards and visualizations that communicate the impact of clinical programs on health outcomes and operational efficiency.
  • Identify and refine performance metrics that align with strategic goals and demonstrate program value to members and stakeholders.
  • Champion the adoption of self-service analytics among care teams and stakeholders, enabling data-informed decision-making and innovative strategies to improve member outcomes.
  • Lead analytical efforts to support healthcare accreditation submissions (e.g., NCQA, DPP, URAC) and ensure ongoing compliance with quality standards.
  • Apply statistical methods and machine learning models to identify patterns, correlations, and predictive insights for personalized care and patient risk stratification.
  • Serve as a liaison between Omada’s data enablement “hub” and the Clinical Quality “spoke” team, ensuring timely delivery of high-quality analytics to support organizational impact. Recommend refinements to processes and establish procedures that improve efficiency across teams.

Requirements

  • Bachelor’s degree in engineering, computer science, data science, or related field, or equivalent experience.
  • 7+ years in analytics, preferably in healthcare, digital health, or a related field.
  • Expert SQL skills and proficiency in additional programming languages (Python or R preferred).
  • Advanced knowledge of BI tools and data visualization, especially Tableau, including development, server management, and best practices.
  • Strong grasp of data management principles, governance frameworks, and data architecture design.
  • Experience with advanced statistical methods to identify patterns, correlations, and predictive models.
  • Strong organizational skills and attention to detail.
  • Clear, concise written and verbal communication.
  • Ability to manage multiple priorities and work independently.
  • Eagerness to collaborate and learn from diverse perspectives.
  • Experience analyzing data related to clinical outcomes, equity metrics, or quality improvement initiatives, ideally within digital health, health plans, or employer benefits programs.
Benefits
  • Competitive salary with generous annual cash bonus
  • Equity Grants
  • Remote first work from home culture
  • Flexible Time Off to help you rest, recharge, and connect with loved ones
  • Generous parental leave
  • Health, dental, and vision insurance (and above market employer contributions)
  • 401k retirement savings plan
  • Lifestyle Spending Account (LSA)
  • Mental Health Support Solutions
  • ...and more!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonRstatistical methodsmachine learning modelsdata visualizationTableaudata managementdata governancedata architecture
Soft skills
organizational skillsattention to detailwritten communicationverbal communicationability to manage multiple prioritiesindependencecollaborationeagerness to learn
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