arcadia - Lead Analyst, Analytics
Requirements
• 7+ years of experience in healthcare analytics, with deep expertise in population health, quality, or value-based care analytics • Demonstrated experience in analytic leadership, strategy, and client advisory roles • Advanced proficiency in SQL and DBT • Experience in data visualization and communication of complex insights to executive audiences • Proven ability to design, manage, and deliver enterprise-level analytic programs • Strong business acumen and the ability to influence decisions through data • Experience with AWS data tools, predictive modeling, or machine learning • ## Would Love For You To Have • Experience leading analytics strategy for healthcare technology or payer organizations • Experience with different VBO programs (MSSP, REACH, MA) • Familiarity with data pipelines • Experience influencing product development or roadmap through analytics insights • ## What You'll Get • Be a part of a mission-driven company that is transforming the healthcare industry by changing the way patients receive care • A flexible, remote-friendly company with personality and heart • Employee-driven programs and initiatives for personal and professional development • Become a member of the talented, energized, diverse and purpose-driven Arcadian Community
Responsibilities
• Serve as the lead analytics strategist for at least one analytics engine • Develop and implement innovative analytic methodologies through DBT engines • Partner closely with product and engineering to deliver Arcadia’s analytics roadmap and contribute to product innovation • Lead cross-functional analytic initiatives • Act as an internal and external thought leader—representing Arcadia’s analytic capabilities at customer meetings, industry conferences, and publications • Oversee analytic quality standards and ensure analytic rigor across customer engagements • Guide, mentor, and develop Analysts to build organizational capacity and excellence • Identify opportunities for automation, scalability, and reusability in analytic delivery
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