Octave
behavioral health
Sr.DataAnalyst,Providers
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Data Analyst, Providers at Octave. Skills: Data modelling, Analytics products, Provider analytics strategy. Define key metrics. Generate insights”
What You'll Achieve.
Improve patient outcomes; Improve provider performance; Improve clinical KPIs
Industry & Context.
Navigating ambiguity
What They're Looking For.
Must Have
SQL proficiency, Experience with AI tools
Nice to Have
Experience with AI tools is a plus
What You'll Do.
Build scalable data models
Build analytics products
Empower data-informed decisions
How You'll Work.
Team & Collaboration
Partnering with cross-functional leaders
Communication Scope
Asking the right questions
Process & Methodology
Drive projects from conception to completion
Full Job Description
About the Company: Octave is a modern behavioral health practice creating a new standard for care delivery that’s both high-quality and accessible. With in-person and virtual clinics in multiple states, the company offers evidence-based individual, couples, and family therapy, while pioneering relationships with payers to make care more affordable through insurance. By raising the bar on how care is delivered and how providers are supported, we are building a sustainable system that values equity, affordability, and effectiveness. Job Summary: The Senior Data Analyst, Providers plays a critical role in partnering with cross-functional leaders to shape and deliver Octave's provider analytics strategy. In this role, you will be responsible for defining key provider and clinical performance metrics, generating insights, and building scalable data models and analytics products that empower teams to make data-informed decisions. The ideal candidate is both a thinker and a doer who thrives in ambiguity, deeply understands clinical and operational workflows, and is passionate about using data to improve patient outcomes and provider performance. Duties a knack for asking the right questions and comfortably navigating ambiguity to answer them. Able to confidently and independently drive projects from conception to completion. Deep understanding of clinical data, including treatment modalities, clinical notes, patient assessment data, and care pathways. Track record of improving clinical KPIs, such as patient engagement, treatment adherence, outcome measurement, and operational efficiency through data-driven insights. Strong understanding of healthcare data privacy regulations (e.g., HIPAA) and best practices for handling sensitive patient information. Comfort using AI tools in day-to-day workflows, with a willingness to continuously rethink and improve how work gets done. Curiosity and openness to experimenting with new tools and approaches; prior experience with AI tools i
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