WHO WE ARE:

Founded in 2016, K Health’s mission is to deliver accessible, high-quality healthcare at scale. As a leading clinical AI company in primary care, K Health has developed a suite of clinical AI agents that enhance provider efficiency and improve patient outcomes across both online and in-person primary care settings. K Health’s primary care platform engages patients through a personalized investigation, informed by relevant medical history from the EMR, to provide primary care providers with comprehensive insights and automated workflows at the point of care. Coupled with patient insights, K Health’s technology empowers providers to make individualized diagnoses and treatment decisions and deliver high-quality medicine at scale.
As a venture-backed startup trusted with nearly $400 million in funding, and a $900 million valuation as of July 2024, K Health is well-positioned for sustained future growth. We continue to partner with a growing roster of major health systems (Cedars-Sinai, Hackensack Meridian Health, Hartford HealthCare), enhancing accessibility and quality of care by pairing people with technology.
K Health is a modern healthcare company that is reinventing the patient, provider, and AI cooperative for a singular, digitally unified, high-quality care delivery mission. Our cross-functional approach integrates deep expertise in clinical care, operations, data science, product, consumer marketing, and engineering into one team that is transforming the experience of patients, providers, and the overall care delivery system. Join us in our mission to deliver smarter, simpler healthcare!

ABOUT THE ROLE:

K Health is looking for a Strategic Insights Analyst with an AI-first mindset to drive better decisions, faster. This role sits at the intersection of operations, data science, and AI-powered automation, making it ideal for someone who can combine rigorous analytical thinking applied to business intuition, while leveraging cutting-edge AI tools to generate insights and translate them into action.
You’ll play a pivotal role in shaping K Health’s growth by working cross-functionally with Product, Operations, Marketing, and Finance teams to inform our strategic roadmap. This role requires someone who can think like a top-tier business consultant but execute like a data scientist—leveraging SQL, Python, AI agents, and data-driven decision-making to solve high-impact business problems at scale.
This is a high-impact individual contributor role, perfect for someone who thrives in a fast-paced, highly collaborative, and AI-enhanced environment.

WHAT YOU WILL DO:

• Apply analytical rigor and AI-powered tools to strategic business problems, uncovering actionable insights that drive key company metrics through both traditional analysis and AI augmentation.
• Enable self-serve analytics and empower stakeholders to access data to facilitate data-driven decision making at scale
• Partner cross-functionally with Clinical Operations, Marketing, Product and Finance teams to identify opportunities, develop hypotheses, and execute in-depth analyses using both traditional and AI-enhanced methods.
• Develop and own key performance metrics, leveraging AI tools to automate monitoring, anomaly detection, and insight generation.
• Leverage SQL and Python through AI agents to analyze large datasets more efficiently, build data models, and create self-updating dashboards that help scale decision-making.
• Use statistics, data science techniques, and AI tools (e.g., regression analysis, forecasting, clustering, LLM-powered analysis) to drive better predictions and recommendations.
• Build and deploy AI-powered analysis workflows using command line agents that can execute complex SQL queries, perform Python-based analysis, and generate insights autonomously.
• Communicate insights effectively, using AI tools to help transform complex data into crisp, actionable recommendations for leadership and stakeholders.
• Develop scalable operational processes that leverage our data assets in creative ways using data-driven techniques, large language models, automated pipelines, and AI agents.