Octave

behavioral health

Sr.DataAnalyst,Providers

St. Louis, Missouri, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

behavioral health
Problems you'll solve

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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