K Health is hiring a Strategic Insights Analyst

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. This role requires onsite presence in our New York City office 4 days a week and does not provide immigration support. 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. What we are looking for: - 4-6 years of experience in analytics, strategy, consulting, business operations, or a related field, with demonstrated experience leveraging AI tools for productivity gains. - AI First Mindset—proven track record of identifying and implementing AI-powered solutions to enhance analytical workflows and business processes. - Strong SQL proficiency—ability to write complex queries and manipulate large datasets, with experience using AI tools to enhance SQL workflow efficiency. - Solid Python knowledge (e.g., pandas, NumPy, scikit-learn) with experience using Python in conjunction with AI agents and automation tools. - Experience with AI-powered analysis tools—familiarity with command line AI agents, LLM-based coding assistants, and automated analysis pipelines. - Solid foundation in statistics and data science concepts (e.g., hypothesis testing, regressions, forecasting) with understanding of how AI can augment these techniques. - Highly analytical and metrics-driven, with the ability to define KPIs, size opportunities, and measure business performance using both traditional and AI-enhanced methods. - Strong strategic problem solver—able to break down ambiguous problems and apply a first-principles approach while leveraging AI for faster iteration. - Excellent communication skills—able to translate data into compelling, actionable insights, using AI tools to enhance visualization and storytelling. - Scrappy and resourceful—you find a way to get things done, often by creatively applying AI tools to multiply your impact. - Fast learner—you can quickly grasp new concepts, tools, AI technologies, and business models. Bonus: - Experience with BI tools (e.g., Looker, Tableau, Mode) and their AI-enhanced features - Familiarity with machine learning concepts and MLOps - Experience with measuring clinical outcomes - Experience with prompt engineering and LLM optimization - Exposure to A/B testing methodologies and automated experimentation platforms - Experience building or deploying AI agents for business analysis - Knowledge of AI workflow automation tools (e.g., Langchain, AutoGPT, or similar) Benefits & Perks: - Hybrid work schedule with weekly lunches and stocked fridges - Monthly social committees for company events - 18 vacation days, 9 company holidays, 5 sick days, and 2 personal days - Stock options for every full-time employee - Paid parental leave - 401k benefit - Commuter Benefits - Competitive health, dental, and vision insurance options