Business Intelligence Analyst

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 environment
Familiarity with version control systems (Git preferred)
Understanding of effective data modeling strategies and implementations