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Strategic Insights Analyst

Job in New York City, Richmond County, New York, USA
Listing for: K Health
Full Time position
Listed on 2026-09-06
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Data Scientist, AI Business & Operations
Job Description & How to Apply Below

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, Num Py, 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…
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