[Hiring] Data Analyst @Sunrise Group

Role Description

The Data Analyst owns analysis delivery across the business, spanning Acquisition, Clinical Operations, Revenue, Product and Supply. This is the second position in the analytics function, and a generalist one. Requests arrive from different teams as open questions, and the role is responsible for scoping them into defined analytical problems, producing the analysis, and turning the insights into a recommendation the business can act on.

Beyond the analyses themselves, the role builds and maintains the data model and the BI layer: the datasets and dashboards that let stakeholders track and report on their own work independently. That self-sufficiency is a deliberate objective to keep the analytics team focused on exploratory and investigative work. Metric definitions and modeling standards are maintained collaboratively within the team, so numbers stay consistent wherever they are used. The role also occasionally touches the data pipelines feeding those datasets, setting up new ones so the data exists, improving existing ones, or investigating transformations that fail.

As Data Analyst, here's what you'll do:

• Operations and growth analysis: Analyze the end-to-end patient funnel to identify bottlenecks and quantify improvement levers. Design and interpret experiments to measure the impact of operational and commercial changes.
• Product analysis: Analyze the patient journey at each step to identify friction points, quantify opportunities, and support product prioritization decisions.
• Financial analysis: Analyze revenue, margin and reimbursement performance to support prioritization of business initiatives.
• Data modeling: Develop and maintain transformation models in PostgreSQL and SQLMesh. Gather business logic directly from process owners and represent it accurately in the shared semantic layer.
• BI and reporting: Build, maintain and document dashboards and datasets. Enable stakeholder self-service for recurring questions.
• Metric documentation: Ensure every metric produced has an accurate definition, formula and known caveats recorded.
• Stakeholder collaboration: Partner with Acquisition, Clinical Operations, Revenue Cycle, Product, Supply and Finance to gather requirements, agree scope, and communicate findings to non-technical audiences.
• Data quality: Identify and investigate data quality issues affecting analysis, fixing or escalating them as needed. Validate outputs before publication.

Qualifications

• Bachelor's degree in a quantitative or technical field, or equivalent work experience
• 2 to 5 years of experience as a Data Analyst, ideally in high-growth or operationally complex environments
• 2+ years of hands-on experience with PostgreSQL
• Basic working knowledge of Python
• Proven ability to translate business questions into analytical frameworks and deliver insights that drive action
• Rigor in drawing conclusions, and in communicating their limitations
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders
• Ability to work independently in a distributed, asynchronous environment
• Genuine interest in sleep, health, and helping people better understand and improve their well-being
• Written and verbal fluency in English

Requirements

• Experience with a SQL transformation framework (SQLMesh, dbt or equivalent) and version control with Git
• Experience with Apache Superset or comparable data visualization platforms
• Experience with Posthog or comparable product or event analytics tools
• Exposure to US healthcare data: payers, coverage status, revenue cycle
• Experience designing or analyzing experiments
• Prior experience in a startup or scale-up
• Written and verbal fluency in French

Benefits

• Meaningful work that directly improves patients' lives
• Be part of an international team across the US, France and Belgium
• Comprehensive health coverage
• Generous vacation allowance + public holidays
• Flexible working arrangements
• Office perks and team events