Partner closely with clinical, operations, product, and engineering teams to identify key business problems and develop analytics solutions that drive growth and innovation.
Develop dashboards, reporting, and self-service tools that enable teams to monitor performance and make data-informed decisions.
Communicate insights and recommendations clearly to both technical and non-technical stakeholders and guide understanding of clinical quality and provider product needs.
Collaborate with peers to design and maintain data models within Octave’s data warehouse to ensure reliable, scalable datasets that support analytics across the organization.

Requirements

4+ years working in analytics / data science, preferably at a start-up or a technology-focused healthcare company.
4+ years of hands-on experience performing analysis and complex data transformations with SQL.
Experience manipulating large data sets and uncovering insights utilizing disparate data sources and tools.
Experience using clinical data tools and platforms (e.g., electronic medical records systems, patient assessment collection tools) and data visualization tools like Tableau and Hex to track and analyze clinical performance and outcomes.
Experience with healthcare quality metrics, patient satisfaction, and care effectiveness measurement.
Experience with dbt / Git / Python / R is a plus.
Analytical and problem-solving skills to translate complex clinical workflows and operational processes into scalable data and reporting frameworks.
Ability to connect data insights to business strategy and communicate findings clearly to a wide range of audiences.
Self-directed curiosity; 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.

Benefits

company sponsored life insurance
disability and AD&D plans
401k retirement
medical, dental, vision
FSA, HSA, dependent care and commuter/parking options
generous Paid Time Off
paid parental leave benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLdata transformationdata visualizationTableauHexdbtGitPythonRdata modeling

Soft Skills

analytical skillsproblem-solving skillscommunication skillsself-directed curiosityproject managementcollaborationadaptabilitycritical thinkingstakeholder engagementstrategic thinking