Lead Business Data Analyst

About Us 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. Why Join Our Team 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 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. About the Role As a Business Analyst at Hippocratic AI, you will play a key role in driving data-informed decisions across our organization, with a focus on operational reporting and performance analysis. In this hybrid role, your responsibilities will span across data quality (40-50%) and business reporting/analysis (50-60%), supporting the continuous improvement of our go-to-market strategy and healthcare-focused large language model (LLM) solutions. You will be responsible for developing and analyzing data to create insightful reports that ensure client success and help drive clinical and operational decisions. Your work will directly contribute to our market efforts and success. Collaborating closely with cross-functional teams, you will help drive actionable insights in our go to market strategies. This is a highly cross-functional and high-growth opportunity with exposure to cutting-edge AI technologies and strong mentorship. Responsibilities Reporting, Dashboards & Analysis Build and maintain dashboards to monitor key metrics across product usage, customer outcomes, and internal operations. Develop recurring and ad-hoc reports to inform product and GTM strategy. Analysis & Reporting Gather and analyze relevant datasets by running SQL queries or Python scripts. Produce weekly data summaries and reports to assist senior team members in decision-making. Analyze trends and KPIs across business functions and highlight areas for operational or financial optimization. Collaborate cross-functionally to understand business needs and translate them into actionable data insights. Communicate findings clearly and succinctly, highlighting patterns, risks, or opportunities for diverse stakeholders. Required Skills & Qualifications 4–6 years of experience with a Bachelor’s degree (or equivalent experience) in Business, Finance, Data Science, Statistics, Computer Science or a related field. Prior experience in business analysis, QA, or data entry - especially with complex or ambiguous data. Exposure (including through coursework) to Python (preferred), R, or other scripting languages. Experience writing basic SQL queries. Experience analyzing data and generating reports for both technical and non-technical audiences. Experience building dashboards or visual reports using tools like Looker, Tableau, Metabase, or similar BI platforms. Ability to translate business needs into data-driven insights and visualizations for cross-functional teams. Strong collaboration skills; comfortable working closely with Customer Success, Sales, and other GTM stakeholders to understand customer pain points and track product usage or outcomes. High attention to detail, with a track record of accurately following instructions and structured processes. Strong written and verbal communication skills; able to explain analytical findings clearly. Ability to stay organized and manage multiple projects in a fast-paced environment. Preferred Qualifications Exposure to machine learning or AI-related projects (coursework or internships acceptable). Understanding of healthcare, clinical workflows, or regulated environments. Experience working in a startup or fast-growing company. Comfort with financial analysis, forecasting, or performance tracking using Excel or similar tools. Familiarity with customer success metrics, user engagement data, or SaaS GTM workflows. Experience supporting customer-facing teams with data insights, onboarding analysis, or usage reporting. #J-18808-Ljbffr