Business Intelligence Analyst

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Motivo actual: No elegible: remota restringida a USA (exige residir allí). Con pasaporte italiano + settled status (UK) no cumples este requisito sin visado.

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About Carrot: Carrot is the leading global fertility and family care platform, built on intelligent care orchestration: the right clinical guidance, at the right moment, in the context of each member’s life. More than a thousand multinational employers, health plans, and health systems trust Carrot to support millions of members across 195 countries – from pre-pregnancy through menopause and major life moments in between. Carrot's comprehensive clinical program delivers industry-leading cost savings for plan sponsors and award-winning experiences and improved outcomes for millions of people worldwide. Carrot is widely regarded as a defining force in healthcare innovation as a recipient of several top-tier awards, including Fast Company's 'Most Innovative Companies' and CNBC's '100 Barrier Breaking Startups'. The company is regularly cited by leading global outlets — including The Economist, Bloomberg, The Wall Street Journal, NPR, ABC News, and Harvard Business Review — as a leading voice on digital health, the future of work, and family health. Learn more at get-carrot.com . The Opportunity Carrot is seeking a Business Intelligence Analyst to join our BI function as it scales to meet, and anticipate, the needs of the organization and its clients. This is an executional role providing essential analytics support across the company: you will gather requirements, field ad hoc and recurring data requests, and build the reporting dashboards that leaders across Carrot rely on to make decisions. You will work hands-on with modern data tooling, including SQL, dbt, and enterprise BI platforms, and partner with teams across the business to translate their questions into clear, trustworthy answers. The BI team is highly cross-functional and sits alongside Data Engineering, making this a strong opportunity to sharpen technical skills while building broad business context in a mission-driven environment. What You’ll Own In this role, you will: Design and build data models in SQL with a focus on correctness, clarity, and reusability Build and maintain dashboards and reports that track key business metrics and inform decision-making across the company Conduct ad hoc analyses to answer high-priority business questions from stakeholders across the organization Collaborate with teams across Carrot to understand their data domains, reporting needs, and success metrics Contribute to data quality, documentation, and self-service BI capabilities as the function scales What Success Looks Like In your first 12–18 months, you will have: Delivered accurate, well-documented dashboards and reports that stakeholders across the company trust and use regularly Fully ramped on Carrot's data stack and core data domains, independently owning recurring and ad hoc reporting requests Built strong working relationships with cross-functional partners and established yourself as a reliable analytics resource Improved turnaround and consistency of reporting by creating reusable data models and reducing manual work About You ✨ You likely have: A Bachelor's Degree Intermediate-to-advanced SQL experience: ability to write advanced queries using joins, common table expressions, and window/analytic functions Experience with data visualization software (e.g., Tableau, Looker, DOMO, or Power BI) to bring data insights to life for broad audiences Basic statistics proficiency: experiment design, hypothesis testing, statistical significance, probability, and distributions Ability to translate business intelligence needs from a variety of stakeholders into technical execution and clear presentation Strong communication skills, with the ability to explain complex technical information to non-technical audiences Nice to Have ⭐ While not required, we would be especially excited if you bring: Experience using dbt to transform, test, and document data Experience working with healthcare industry data or in other complex, regulated data environments Experience in a high-growth enviro

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