- Build and maintaining reporting that tracks physician performance, care quality, and consistency of clinical standards across the platform.
- Design dashboards and visualizations that make clinical and business metrics easy to act on for both clinical and non-clinical leaders.
- Partner closely with our client-facing organization to surface clinical insights for customers and prospects.
- Collaborate with clinical operations and physician enterprise leaders to translate open questions into clear, well-scoped analyses.
- Write and maintaining SQL for the data warehouse to transform raw clinical and operational data into analysis-ready datasets, utilizing AI coding assistants to accelerate query development.
- Collaborate with product and engineering teams to improve the quality, structure, and reliability of underlying clinical data.
- Support ongoing reporting needs to help the team move from one-off requests toward scalable, repeatable reporting.
- Leverage AI tools for advanced data cleaning, initial pattern recognition, and drafting analytical summaries to increase efficiency.
- You enjoy translating ambiguous clinical questions into clear, actionable data models and dashboards.
- You have a solid foundation in healthcare analytics and understand the nuances of clinical and operational data.
- You excel at bridging the gap between technical data engineering and business-facing clinical leadership.
- You are proactive in seeking out ways to scale reporting rather than manually answering the same questions repeatedly.
- You are an early adopter of technology, actively using AI tools to write queries faster and streamline your analytical workflows.
- You prefer working with perfectly clean, strictly structured data over navigating the messy reality of real-world healthcare datasets.
- You want to focus solely on building complex machine learning models rather than delivering practical, descriptive analytics and BI reporting.
- You struggle to communicate technical findings to non-technical stakeholders in a clear, digestible manner.
- You prefer traditional manual coding workflows and are hesitant to adopt AI assistants to scale your data analysis tasks.
- 2+ years of experience analyzing data in a professional setting, ideally within healthcare.
- Proven proficiency in SQL.
- Experience building dashboards or reports in a BI tool such as Tableau or Thoughtspot.
- Familiarity with Python or R for complex analyses.
- Proficiency in utilizing modern AI assistants for query generation, data cleaning, and workflow automation.
- Bachelor’s degree, preferably in a quantitative discipline; an advanced degree is a plus.
- Comfort managing multiple analysis projects at once and adapting to shifting priorities in a fast-paced environment.
- Familiarity with common healthcare datasets, standards, and measures such as HEDIS.
- Experience with analytics tools such as Heap, Mixpanel, or Amplitude.
- Experience with A/B testing, including statistical hypothesis testing methodologies.
- Experience working within Databricks.
The national pay range for this role is $90,000.00 – $130,000.00 per year. Actual compensation will be determined by factors such as the candidate's geographic market, experience, skills, and qualifications. Certain roles may also be eligible for additional compensation, including a comprehensive benefits package such as medical, dental, vision, unlimited PTO, and a 401(k) plan, stock options and bonuses. If your compensation requirement is greater than our posted range, please still consider applying; a determination can be made based on unique qualifications. Expected compensation ranges for this role may change over time.At Fabric, we believe that a diverse workforce is essential to our success. We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other legally protected characteristic. We actively encourage individuals from all backgrounds to apply.
- Verify the Domain: Official recruitment emails will only come from addresses ending in @fabrichealth.com or @gem.com. No other domain names are legitimate.
- Official Interview Tools: We use Gem for our recruitment process and Google Meet for all video interviews. Google Meet is always the platform used for your first interview; you will never be sent a Zoom link to set up or conduct an initial interview. All interviews are conducted via video unless specifically stated by our team as an audio call. We never conduct interviews via chat, social media, Skype, or WhatsApp.
- Zoom Usage: Zoom is utilized only for specific meetings set directly by our team for purposes outside of the standard interview process (e.g., coordination or onboarding discussions). It is never the first link you will receive from us.
- Authorized Contact & Texting: Fabric will only contact you if you have submitted an application or if you are connected to a current employee who shared your information with us. We will only send text messages if you have provided explicit authorization and consent, either through your application or while communicating directly with our team. If you have not explicitly authorized us to reach out, treat any SMS or unsolicited outreach as fraudulent and do not respond.
- Sensitive Data: We will never ask you for sensitive personal or financial documents (ID, banking info, SSN) during the application, interview, or candidacy stages. All sensitive data is handled through secure internal systems post-offer.
- Verify the Team: You can reference LinkedIn to verify members of our recruiting team; however, please remain vigilant as scammers may create fraudulent profiles. Always cross-reference the sender's email domain with our official @fabrichealth.com address.
Skills Required
- 2+ years of professional data analysis experience, ideally in healthcare
- Proficiency in SQL
- Experience building dashboards or reports using a BI tool such as Tableau or ThoughtSpot
- Familiarity with Python or R for complex analyses
- Proficiency using modern AI assistants for query generation, data cleaning, and workflow automation
- Bachelor's degree, preferably in a quantitative discipline
- Ability to manage multiple analysis projects and adapt to shifting priorities
- Familiarity with healthcare datasets, standards, and measures such as HEDIS
- Experience with Heap, Mixpanel, or Amplitude
- Experience with A/B testing and statistical hypothesis testing methodologies
- Experience working with Databricks
Fabric Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fabric Health and has not been reviewed or approved by Fabric Health.
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Fair & Transparent Compensation — Pay is considered aligned with role expectations, with explicit remarks that compensation reflects the demands of the work and “pay rate” highlighted as a strength.
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Leave & Time Off Breadth — Time off is described as generous, with unlimited PTO in some roles and a company holiday period that includes a full week off at year‑end.
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Equity Value & Accessibility — Equity is available to full‑time employees, and multiple role descriptions highlight stock options as part of total rewards.
Fabric Health Insights
What We Do
Fabric Health is a pioneering care access platform dedicated to solving one of healthcare's most pressing challenges: operational capacity. We equip health systems, health plans, employers, and brokers with consumer-grade solutions designed to make healthcare faster, smarter, and more accessible at the exact moment of need. Our core mission is to empower boundless care through seamless, intuitive experiences that benefit both patients and providers. At the heart of our offering is a commitment to streamlining the entire care journey. We achieve this by integrating and optimizing every touchpoint from initial intake and intelligent triage to precise routing and effective treatment, encompassing both virtual and in-person care modalities. Our platform is meticulously crafted to enhance operational efficiency, addressing the complex logistical problems that often hinder timely and quality care delivery. What makes Fabric Health uniquely effective is our deep understanding of the patient and clinician experience. We develop robust automation workflows that significantly reduce administrative burdens on healthcare professionals, allowing them to focus invaluable time on what matters most: direct patient care. By automating repetitive tasks and streamlining processes, we enable clinicians to work more efficiently, leading to reduced burnout and a higher quality of service. Our comprehensive suite of features and services includes an advanced AI Assistant that guides users, dynamic Engagement & Pathways to ensure continuity of care, a versatile Virtual Care Platform for remote consultations, and dedicated Virtual Care Services for immediate support. Furthermore, our Intake & Care Guides simplify initial patient interactions, while our Enterprise Features provide scalable solutions for large organizations. Ultimately, Fabric Health drives tangible outcomes: reduced care costs, expanded access to care, and the delivery of consistent, higher-quality patient experiences. We are relentlessly focused on creating better, more intuitive interactions for consumers and equipping providers with the tools they need to deliver exceptional care efficiently. Every solution we develop is a testament to our dedication to transforming healthcare delivery, ensuring that timely, compassionate, and effective care is within everyone's reach.
Why Work With Us
Discover a culture of innovation, collaboration, and continuous growth. We offer a dynamic, remote-first environment where talented individuals thrive by tackling meaningful challenges. Contribute to cutting-edge solutions, work alongside inspiring peers, and truly make a difference in a flexible setting. Grow your career with purpose.
