Lead Business Data Analyst

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. ***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @ hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

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