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About the Role
K Health is seeking a Strategic Insights Analyst with an AI-first mindset to enhance decision-making and leverage AI tools for insight generation and action. This role bridges operations, data science, and AI automation, requiring a blend of analytical thinking, business intuition, and AI tool utilization to solve high-impact business problems. You will collaborate cross-functionally to inform the strategic roadmap and drive company growth. This is an individual contributor role in a fast-paced, collaborative, and AI-enhanced environment, requiring onsite presence in New York City four days a week.
Responsibilities
- 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.
Requirements
- 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.
Skills
- SQL
- Python
- AI agents
- Data-driven decision-making
- Statistics
- Data science techniques
- Regression analysis
- Forecasting
- Clustering
- LLM-powered analysis
- Command line agents
- BI tools (e.g., Looker, Tableau, Mode)
- Machine learning concepts
- MLOps
- Clinical outcomes measurement
- Prompt engineering
- LLM optimization
- A/B testing methodologies
- Automated experimentation platforms
- AI agent building/deployment
- AI workflow automation tools (e.g., Langchain, AutoGPT)
Location
- New York City
Work Type
- Hybrid
Experience Level
- 4-6 years
Salary/Compensations
- $120,000—$150,000 USD
Benefits
- Hybrid work schedule with weekly lunches and stocked fridges
- Monthly social committees for company events
- 18 vacation days
- 9 company holidays
- 5 sick days
- 2 personal days
- Stock options for every full-time employee
- Paid parental leave
- 401k benefit
- Commuter Benefits
- Competitive health, dental, and vision insurance options
About the Company
- Behind every leading health system is K Health’s AI-powered virtual care engine.
- Esteemed health systems like Mayo Clinic, Cedars-Sinai, Mass General Brigham, Hackensack Meridian Health, and Hartford Healthcare partner with K Health to build and run modern primary virtual care clinics on their behalf.
- Our deeply integrated model modernizes the primary care loop by using AI to put humans first.
- For our patients, we offer clinical AI (i.e., PatientGPT) and unparalleled access to close care gaps around the clock.
- For our Providers, we deliver provider-serving agentic solutions (i.e., Perfect Note) to eliminate administrative overload and burnout.
- And for the health systems, we deploy our top-grade Virtualists in AI-powered virtual clinics 24/7 to capture the patients' care journeys at step one, retain the journey through the system for longitudinal care, and strengthen profitability.
- We’re founded in 2016, headquartered in New York City, and backed by nearly $400 million from leading investors including Valor Equity Partners, Claure Group, Mangrove Capital Partners, 14W, Notable Capital, Lerer Hippeau, Primary Venture Partners, Comcast Ventures, PICO Venture Partners, Max Ventures, and other strategic healthcare partners.
- We offer competitive compensation packages based on industry benchmarks for function, level, and geographic location. Offer amounts are determined by multiple factors such as a candidate's experience and expertise.
Equal Opportunity
- We are proud to be an Equal Opportunity Employer and consider applicants for employment regardless of race, ethnicity, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, pregnancy, childbirth and breastfeeding, age, citizenship, military or veteran status, or any other class protected by applicable federal, state, and local laws. We’re deeply committed to building teams as diverse as the patients we serve and strive to cultivate an environment where everyone can bring their most authentic self to work. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our users.
- We are committed to maintaining the integrity of our hiring process and ensuring a safe environment for all candidates. All communication for job offers from K Health will come from email addresses ending in @khealth.com. K Health will never ask you to provide financial information about yourself during the recruitment process. We will never use personal email accounts or other domains for official correspondence. Our official job postings are only listed on our official website and reputable job boards. Be cautious of job offers from sources other than these platforms.