Analytics manager • everett wa
Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems.We are seeking experienced Revenue Cycle Analytics and Decision-Support leaders — includin... Show more
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Join Our Team At Thacher Restaurant Group.We believe our people are just as important as our wings.We're committed to creating an environment where team members feel valued, challenged, and support... Show more
Our Panera cafes are upscale, friendly cafes which feature freshly baked breads and pastries.We serve made-to-order soups, salads and sandwiches as well as specialty espresso beverages.We are known... Show more
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Asset Living is a third-party management firm and a proven partner in fostering thriving communities nationwide.Founded in 1986, Asset Living has decades of experience delivering exceptional value ... Show more
The AI Applications & Data Analytics Lead is responsible for building and scaling practical AI and data solutions that drive measurable improvements in safety, production, cost, and performance... Show more
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Mitigation Manager With Paul Davis.Paul Davis is an industry leader in restoration and reconstruction for insurance providers and commercial properties throughout the United States and Canada.We ar... Show more
Managers are responsible for building and leading a talented team of hourly team members to deliver a memorable guest experience, serve the community and grow sales and profitability.It's a challen... Show more
The average salary range is between $ 104,660 and $ 164,916 year , with the average salary hovering around $ 127,413 year .
Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Revenue Cycle Analytics and Decision-Support leaders — including RCM reporting managers and analytics directors — to evaluate AI tools designed to transform revenue cycle intelligence and financial decision-making. Your expertise in RCM data analytics, financial reporting, and decision-support will directly shape AI systems that deliver actionable insights across the full revenue cycle. **Responsibilities** - Lead revenue cycle analytics, reporting, and decision-support functions to drive data-driven performance improvement across RCM operations. - Evaluate AI-generated revenue cycle analytics outputs, KPI dashboards, and financial modeling recommendations for accuracy and completeness. - Develop and maintain revenue cycle reporting frameworks covering patient access, coding, billing, denials, A/R, and collections performance. - Build and interpret dashboards, scorecards, and trend analyses to support operational and executive decision-making. - Conduct root cause analyses of revenue cycle performance variances and develop data-driven improvement recommendations. - Collaborate with finance, IT, and operational revenue cycle teams to align analytics infrastructure with strategic priorities. - Manage RCM data governance, including data definitions, data quality standards, and reporting consistency. - Support revenue cycle forecasting, budget modelling, and net revenue realisation analysis. - Annotate AI outputs and provide structured analytical feedback to support AI training datasets. **Requirements** - 5+ years of experience in revenue cycle analytics, RCM reporting, or healthcare financial decision-support, with at least 2 years in a leadership role. - Deep knowledge of revenue cycle KPIs and financial metrics across patient access, coding, billing, denials, and collections domains. - Proficiency with healthcare analytics platforms, BI tools (Tableau, Power BI, or equivalent), and SQL-based data analysis. - Experience with EHR-integrated analytics platforms and RCM reporting systems. - Strong financial modelling and data interpretation skills with the ability to translate complex data into actionable recommendations. - Exceptional written and verbal English communication skills. - High attention to detail with the ability to identify data quality issues and analytical errors in AI-generated outputs. **Preferred Qualifications** - HFMA CRCR, CHFP, or healthcare analytics certification. - Experience with predictive analytics, revenue cycle forecasting, and net revenue modelling. - Background in health system, large physician enterprise, or RCM outsourcing analytics operations. - Familiarity with AI tools and comfort evaluating AI-generated analytics content. - Experience implementing enterprise-wide revenue cycle analytics infrastructure or BI platform migrations. **Why Join?** - Contribute to the development of frontier AI systems in healthcare. - Collaborate with a world-class AI research organisation. - Gain exposure to cutting-edge AI workflows in revenue cycle analytics and decision-support. - Opportunity to work on high-impact projects shaping the future of healthcare AI.
