opengreenhouseflarecapital
Senior Data Analyst
Axuall
LocationRemote - US, Remote
WorkplaceFull
Last observed2026-06-13 05:25:01.415629
Job idflarecapital-axuall:greenhouse:4703177005
About Axuall Built with leading healthcare systems, Axuall is a clinical workforce intelligence company built on top of a national real-time practitioner data network. It enables healthcare systems, staffing firms, telehealth organizations, and health plans to accelerate clinician onboarding, improve hiring and workforce planning, and maintain accurate provider data across enterprise systems. By delivering trusted data, AI-powered insights, and seamless data exchange, Axuall empowers healthcare organizations to improve operational efficiency, strengthen clinical coverage, and support revenue capture. Axuall's investors and the organizations they represent comprise over two dozen of the nation's leading healthcare organizations that recognize the imperative to improve clinical workforce efficiency amid significant economic and staffing challenges. About The Role Axuall is seeking an accomplished, energetic, and highly motivated Senior Data Analyst to join our Product team at a pivotal moment in our growth. This is a unique, high-impact role that sits at the intersection of product delivery and revenue generation: you will be responsible for key customer-facing insights and serve as a partner to our Sales team in winning new business. You'll work closely with Axuall's Data Scientist to develop advanced analytical insights into healthcare provider profiles using sophisticated modeling techniques. You'll bring that same rigor to customer-facing dashboards, utilization trends, and ROI storytelling across Axuall’s provider recruiting, credentialing, and directory management solutions. You will then carry it into presales, helping prospective health systems see, in their own data, what Axuall can do for them. The ideal candidate is highly detail-oriented, a self-starter, diligently organized, possesses excellent communication skills, and has a passion for excellence and values education, integrity, innovation, and success. What You’ll Do This role will focus on delivering data insights and analytics capabilities across Axuall’s customer base and go-to-market functions. You will be the analytical engine behind our customer-facing reporting, helping health systems understand the value Axuall delivers across provider recruiting, credentialing, and directory management. We are looking for people who feel comfortable taking on bold initiatives, who are both highly accountable and self-empowered. Some of the specific functions and responsibilities of this role include: Customer Product Delivery Build and maintain customer-facing dashboards and reports that surface utilization trends, workforce insights, and automation ROI across provider recruiting, credentialing, and directory management Own the data analyst function across Axuall's customer-facing products, ensuring that reports, dashboards, and visualizations are accurate, insightful, and directly valuable to health system clients Translate complex provider workforce data into clear, intuitive visualizations that health system stakeholders, from operations to the executive suite, can act on Presales & Proof of Concept Partner with the Sales team to produce data-driven proof of concept reports for prospective clients, demonstrating in their own data what Axuall's products can deliver Develop reusable POC templates and frameworks that scale consistently across the sales cycle Advanced Analytics & Data Science Collaboration Work closely with and assist Axuall's Data Scientist in building complex analytical models and deep insights on clinicians and providers that are delivered directly to health system customers Data Source Analysis & Integration Analyze new data sources to understand how they connect to Axuall's provider data model and evaluate how they can be leveraged across our products Document and communicate data relationships and integration opportunities to product and engineering teams Data Quality Assist the data science and engineering teams in maintaining robust data quality s
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