Lead BI Analyst– GTM & Customer Insights

Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.

• Innovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.

• Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft and NVIDIA.

• Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.

• Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.

For more information, visit www.HippocraticAI.com.

We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.

We are seeking a highly analytical and business-savvy Lead BI Analyst to join our team. This role will focus on leveraging customer operational data to drive actionable insights for our Go-To-Market (GTM) teams, support account managers with data-driven narratives, and own our analytics infrastructure—including the ETL pipelines, SQL models, and BI tools. While this position does not involve direct people management, the ideal candidate will be a collaborative partner to cross-functional teams, particularly sales, marketing, and customer success, helping them interpret and act on data.

Customer Analytics & Insights

• Analyze customer operational data to surface insights on usage patterns, adoption trends, and engagement metrics.

• Partner with GTM teams (Sales, Customer Success, Marketing) to present data-driven stories that influence customer strategy and business outcomes.

• Develop standardized and ad-hoc reports and dashboards tailored for account managers to use in customer engagements.

BI Infrastructure Ownership

• Own and maintain the company’s BI tools (e.g., Looker, Tableau, Power BI, or similar).

• Build and maintain robust SQL-based data models and ETL pipelines to ensure data accuracy, reliability, and scalability.

• Design and implement analytics processes that support repeatability and consistency across teams.

Cross-functional Enablement

• Serve as the analytics point of contact for GTM teams and customer account managers.

• Enable non-technical users through training, documentation, and simplified access to relevant data sources.

• Collaborate with data engineering to enhance our data warehouse and support new data ingestion needs.

• 5+ years of experience in Business Intelligence, Data Analytics, or related roles.

• Strong SQL skills and experience with modern data modeling and ETL tools (e.g., dbt, Fivetran, Airflow).

• Proficiency with one or more BI platforms (e.g., Looker, Tableau, Power BI).

• Experience working with GTM teams and translating business questions into analytical solutions.

• Excellent communication and storytelling skills—able to make data approachable for non-technical stakeholders.

• Self-starter with a high degree of ownership and the ability to work independently in a fast-paced environment.

• Experience in SaaS or customer-facing analytics roles.

• Familiarity with data warehousing platforms (e.g., Snowflake, BigQuery).

• Exposure to CRM and GTM tooling (e.g., Salesforce, HubSpot).