Teams at K Health

Analyze strategic business problems using SQL, Python, statistics, data science, and AI-powered tools. Build dbt data models, Looker semantic layers, self-serve analytics, KPI monitoring, dashboards, and automated insight workflows. Partner with Product, Operations, Marketing, Finance, and Clinical Operations to identify opportunities, develop recommendations, and support strategic decisions. Build AI agent workflows that automate complex analysis and communicate actionable findings to leadership.

Conduct full-cycle recruiting for technical and business roles, including sourcing passive candidates, creating personalized outreach, screening applicants, building talent pipelines, and coordinating hiring processes. Partner with hiring managers and the Talent Acquisition team to refine candidate profiles and sourcing strategies. Maintain accurate ATS records and support approvals, interviews, debriefs, offers, and closing. The role also contributes to employer branding, diversity initiatives, and future hiring needs.

Designs and optimizes scalable data pipelines, services, and models using Python and SQL. Ensures data quality, reliability, and performance across large-scale storage and processing systems. Collaborates with analysts, data scientists, engineers, and cross-functional teams to deliver actionable data solutions. Integrates LLM and agent-based capabilities into data platforms and supports clinical, business intelligence, and operational needs.