Build and maintain network capacity forecast models to guide investment and support clinician recruitment and retention. Partner with cross-functional teams to design experiments, analyze performance metrics, and present actionable insights to leadership.
What you’ll do in this role:
Build and maintain the forecast model for network capacity vs. patient demand across all 50 state markets and multiple clinical care programs, and use it to guide where and when we invest in supply
Partner with Network Ops and Clinical Talent to deliver measurement and insights that support clinician recruitment and onboarding and strengthen retention
Develop frameworks to measure the impact of clinical quality, therapeutic alliance, and patient panel balance at both the clinician and market level
Partner with Product and Engineering to design and run experiments on patient scheduling experiences and clinician-facing product features
Serve as the primary analytics partner for the Network POD, explaining the drivers behind changes in performance metrics, tying them to OKRs, clinical, and financial outcomes, and presenting insights and experiment results to leadership
Join a Data team building AI-powered analytics infrastructure that governs metric reliability and unlocks deeper analysis, including developing and documenting the data models behind KPI reporting and agentic analytics
Solve ambiguous problems creatively with systematic, scalable solutions
Requirements:
8+ years of analytics experience, with a Master's degree or equivalent practical experience
Expert-level SQL and data modeling in a cloud data warehouse (ex: BigQuery/GCP), with a track record of writing clean, performant, well-documented code
Hands-on experience developing and scaling a dbt project, including testing, documentation, and governed metric definitions
Strong forecasting and econometric modeling skills, ideally paired with operations research methods (capacity planning, supply-demand optimization, resource allocation)
Experience designing, running, and interpreting A/B tests and other experiments, including knowing when a clean experiment isn't possible and what to do instead
Proficiency with data visualization tools (ex: Tableau) to build dashboards and tell clear stories with data
Fluency with AI tools and MCPs, and a habit of using them to accelerate everything from data exploration to insight generation
Ability to turn complex analyses into clear business recommendations, with excellent written and verbal communication for audiences ranging from engineers to executives
A self-starter mindset: you're comfortable with ambiguity, set your own priorities, and thrive in a fast-moving startup environment
Preferred:
Experience in the healthcare industry
Experience in an interdisciplinary/cross-functional field
Startup experience
Benefits:
A competitive salary
Stock options/equity
Fully paid for comprehensive health care (medical, dental, vision)
Pet Insurance
Life Insurance & Short / Long Term Disability
401k Plan
Unlimited PTO and sick leave
Parental Leave
100% Remote work
Additional memberships and perks
Final offer amounts are determined by multiple factors including geographic location as well as candidate experience and expertise. If you have questions on compensation bands, please ask your recruiter.
Brightside Health is committed to equal employment opportunities for all team members. Every decision we make regarding employment is solely based on merit, competence, and performance. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We realize the full promise of diversity and want you to bring your whole self to work every single day.
Research shows that minority groups typically apply only if they meet 100% of the criteria listed. At Brightside, we are dedicated to fair play and encourage women, people of color, and LGBTQ+ job seekers to apply for positions even if they don’t check every box for the role.
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