Lead Business Data Analyst

Join Hippocratic AI as a Lead Business Data Analyst, where you will drive data-informed decisions across the organization, focusing on operational reporting and performance analysis. In this hybrid role, you will spend 40-50% of your time on data quality and 50-60% on business reporting/analysis. Your work will directly contribute to our market efforts and success, and you will collaborate closely with cross-functional teams to drive actionable insights in our go-to-market strategies.

• Conduire des analyses de données pour créer des rapports éclairants qui garantissent le succès des clients et aident à prendre des décisions cliniques et opérationnelles.
• Collaborer avec des équipes interfonctionnelles pour comprendre les besoins commerciaux et les traduire en informations exploitables basées sur les données.
• Construire et maintenir des tableaux de bord pour surveiller les indicateurs clés de performance liés à l'utilisation des produits, aux résultats des clients et aux opérations internes.
• Strong written and verbal communication skills; able to explain analytical findings clearly
• Experience writing basic SQL queries
• Prior experience in business analysis, QA, or data entry - especially with complex or ambiguous data
• Experience analyzing data and generating reports for both technical and non-technical audiences
• Ability to translate business needs into data-driven insights and visualizations for cross-functional teams
• High attention to detail, with a track record of accurately following instructions and structured processes
• Experience building dashboards or visual reports using tools like Looker, Tableau, Metabase, or similar BI platforms
• 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
• 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
• Ability to stay organized and manage multiple projects in a fast-paced environment
• Exposure (including through coursework) to Python (preferred), R, or other scripting languages
• Exposure to machine learning or AI-related projects (coursework or internships acceptable)
• Understanding of healthcare, clinical workflows, or regulated environments
• Comfort with financial analysis, forecasting, or performance tracking using Excel or similar tools
• Experience working in a startup or fast-growing company
• 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