Business Operations Manager

DaybreakLos Angeles, CA

About The Position

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 accessibility, clinical excellence, and life-changing results in the telehealth space. Join us to help scale our impact on better sleep for all. We're hiring a Business Operations Manager to power the next phase Daybreak’s growth. This role blends financial modeling, business strategy, and analytics leadership to support decision-making at scale. You'll serve as a strategic partner to leadership, owning forecasting, performance insights, and analytics infrastructure while driving cross-functional execution. This is a highly autonomous role for someone who can navigate ambiguity, structure complex problems, and translate data into action.

Requirements

  • 5+ years of experience in corporate finance, investment banking, consulting, Business Operations, or analytics
  • Strong financial modeling skills and sharp business judgment
  • Comfort navigating data and extracting insights; Expertise with SQL, with R and/or Python knowledge preferred
  • Experience building models and reporting infrastructure that support strategic decision-making
  • High Excel proficiency and executive presentation development
  • Exceptional thought partnership skills, able to own direct relationships with stakeholders and build credibility through clarity and judgment
  • Thrives in fast-moving, high-growth environments

Responsibilities

  • Develop & maintain financial models to forecast financial impact of new strategies, opportunities, and risks and measure actual performance against forecasts.
  • Partner with leadership to identify growth opportunities, performance risks, and capital allocation tradeoffs.
  • Build and evolve analytics infrastructure, dashboards, and reporting that create durable visibility into performance.
  • Apply structured problem-solving frameworks to ambiguous business challenges from hypothesis through execution and monitoring.
  • Navigate and manipulate data across systems, leveraging SQL familiarity, R/Python, and AI-enabled workflows to extract insights.
  • Translate complex financial and analytical outputs into clear, executive-ready recommendations.
  • Independently lead initiatives end-to-end with minimal oversight
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