Business Operations Associate (Data Lead)

Daybreak is revolutionizing sleep health through innovative at-home solutions for obstructive sleep apnea (OSA). Our FDA-cleared products include a simple finger-worn sleep test and a custom-fit mandibular advancement device that eliminates the need for bulky CPAP machines, masks, or hoses. We empower individuals to reclaim restful sleep conveniently from home, handling everything from diagnosis to insurance processing with a patient-first approach.

Serving thousands of patients nationwide, Daybreak is committed to making sleep apnea care more accessible through technology, clinical excellence, and exceptional patient experiences.

This is a Business Operations role. You will be Daybreak's point person for all things data. We're looking for someone who treats data as a lever for making the business smarter: driving efficiency, exposing gaps, shifting teams from reactive to proactive, and equipping everyone at Daybreak to move faster and decide better.

You'll own the full spectrum: the infrastructure and delivery of data and analytics, but also support through data science, operational problem-solving, stakeholder management, financial analysis, and AI-powered enablement across the company. Think of it as a hybrid of Business Operations, Finance, Analytics, and Data Engineering: you build the systems, you run the analysis, and you sit at the table where the decisions get made.

Daybreak is unusual in how much of the patient journey we own: marketing acquisition, home sleep testing, diagnosis, prescription, consultation, dental qualification, medical assessment, device fulfillment, treatment progress, and insurance claims. That end-to-end ownership generates an end-to-end dataset almost no one else in sleep medicine has. Your mandate is to turn it into a durable advantage and make Daybreak the #1 leader in treating OSA.

This is a high-visibility role with direct exposure to leadership, genuine ownership of your domain, and wide flexibility in how you get there. You'll work closely with our Head of Business Analysis and partner daily with Commercial, Sales, Marketing, Customer Experience, Clinical Operations, Finance, Product, and Engineering.

• Act as a strategic thought partner to leadership: frame ambiguous business questions, structure the analysis, and drive to a clear recommendation.

• Analyze acquisition, conversion, retention, operational throughput, unit economics, and revenue trends to identify the next constraint on growth.

• Partner with Finance on forecasting, pipeline reconciliation, commissions, and the metrics that connect operational performance to financial outcomes.

• Run cross-functional initiatives end to end: define the problem, build the model, align stakeholders, ship the change, and measure the result.

• Own the technical foundation for analytics company-wide: data modeling and transformation in dbt and Snowflake, ingestion via Snowflake or other API integrations, and the reporting layer on top.

• Keep the platform trustworthy: monitor pipelines, resolve issues, manage alerting, and establish data governance, metric definitions, and documentation so there is one version of the truth.

• Build dashboards, executive scorecards, and reporting frameworks that give every function visibility into its own performance and equip leadership with visibility across all of them.

• Continuously improve data quality, accessibility, and speed-to-answer across the organization.

• Treat AI as a core part of the job: use LLMs and agentic workflows to automate analysis, accelerate reporting, and compress the time from question to answer.

• Borrow from the GTM engineering playbook: build enrichment, scoring, routing, and automation workflows that make our commercial and outbound motions materially more effective.

• Enable the rest of the company: build self-serve tools, templates, and workflows so teams can answer their own questions.

• Identify where AI can remove manual work across operations, then build it, ship it, and teach people to use it.

• Build predictive models, segmentation, survival/cohort analyses, and experimentation frameworks where they change a real decision: lead prioritization, conversion, retention, and capacity planning.

• Write advanced SQL and use Python and/or R to automate analyses and push past what BI tools can answer.

• Translate complex, messy datasets into clear narratives that both technical and non-technical stakeholders act on.

• 3-5+ years in Business Operations, Strategy & Analytics, GTM/Analytics Engineering, consulting, or a similar role where you owned both the analysis and the outcome.

• Advanced SQL and strong proficiency in Python (or R) are a must. You're hands-on and self-sufficient with data.

• Strong Excel and PowerPoint skills are a huge plus.

• Working fluency with the modern data stack (dbt, Snowflake or comparable cloud warehouses, ELT tooling, BI platforms), with enough depth to own it end to end.

• Demonstrated use of AI tools in real workflows. AI is already part of how you work day to day.

• Strong business judgment: you instinctively connect a metric to a P&L line, a process, or a decision.

• Excellent stakeholder management: you can align a room of operators, clinicians, and executives, and communicate technical concepts without the jargon.

• A strong sense of ownership and accountability for outcomes.

• Bachelor's degree in Math, Statistics, Economics, Business, Physics, Philosophy, Computer Science, Engineering, or another analytical discipline.

• Startup or high-growth operating experience.

• Prior analytical roles, preferably working with large datasets to drive insights and impact decision-making.

• Building agentic or LLM-powered workflows (e.g., automations, internal tools, analysis copilots) preferred.

• Healthcare, digital health, medical device, or other regulated industries a plus.

• GTM engineering or revenue operations tooling such as enrichment, outbound automation, CRM data architecture (e.g., Salesforce, Apollo, Clay) a plus.

• Love, live, and breathe data. And get more excited by what it changes than by the pipeline that produced it.

• Want the whole problem: infrastructure through insight through decision through result.

• Default to building. When a process is manual, slow, or blind, your instinct is to fix it.

• Are energized by ambiguity, high visibility, and being trusted with real ownership early.

• Want to help a company go from walking to running to galloping. And to be a big reason why.

Daybreak owns more of the OSA care journey than anyone else in the category. Whoever masters that data will define what great looks like in sleep medicine, be it for commercial performance, operational excellence, or patient outcomes. This role exists to make sure that's us.

You'll shape Daybreak's data strategy, analytics capabilities, AI adoption, and decision-making culture from the ground up, with the visibility and latitude to match.

Daybreak is an Equal Opportunity Employer. We are committed to building a diverse and inclusive workplace where everyone has the opportunity to thrive. We consider all qualified applicants for employment without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, veteran status, or any other characteristic protected by applicable federal, state, or local law.