Business Intelligence Analytics Engineer

Title: Business Intelligence Analytics Engineer Location: Remote

The Opportunity 🚀

Carrot is seeking a Business Intelligence Analytics Engineer 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 environment
• Familiarity with version control systems (Git preferred)
• Understanding of effective data modeling strategies and implementations

Why This Role Matters 🧡

Data is central to how Carrot operates and grows. Leaders across the company depend on accurate, timely reporting to serve members, support customers, and make sound business decisions. As a Business Intelligence Analytics Engineer, you will be the connective tissue between raw data and those decisions, ensuring the organization runs on insights it can trust.

Your work directly supports Carrot's mission of expanding access to fertility and family-building care worldwide. Better data means better decisions for the members and customers who rely on Carrot every day.

Interview Process 🤝

We believe in a thoughtful and transparent interview process designed to create alignment for both candidates and our team.

For this role, candidates can expect:

1. Recruiter Screen — 30 minutes
2. Hiring Manager Interview — 45 minutes
3. Cross-Functional Panel Interviews — 45 minutes
4. Performance Task — 60 minutes

Throughout the process, we will share additional context about the team, business priorities, customer landscape, and what success looks like in this role.

Why Candidates Join Carrot 🌍

Carrot offers the opportunity to do meaningful work in service of a deeply human mission.

Highlights include:

• A mission-driven company focused on expanding access to fertility and family-forming care globally.
• A high-growth environment where leaders are empowered to shape strategy and drive impact.
• Competitive compensation, equity, and comprehensive benefits.
• Flexible Time Off and a culture that actively encourages employees to recharge.
• Comprehensive parental leave and family-forming benefits.
• A collaborative, inclusive, and values-driven culture.
• The opportunity to work alongside passionate, thoughtful teammates committed to improving healthcare outcomes worldwide.

Compensation 💰

Carrot offers a holistic Total Rewards package designed to support our employees in all aspects of their life inside and outside of work, including health and wellness benefits, retirement savings plans, short- and long-term incentives, parental leave, family-forming assistance, and a competitive compensation package. The starting base salary for this position will range from $98,000.00- $125,000.00. Actual compensation may vary from posted base salary depending on your confirmed job-related skills and experience.

A Note on AI

At Carrot, we believe AI can help us work smarter, move faster, and create more meaningful experiences for our members, customers, and each other. While not every role requires deep technical AI expertise, we value people who are curious, eager to learn, and excited to thoughtfully incorporate AI into their day-to-day work.

For some roles, AI fluency is a core requirement—and we'll call that out clearly in the qualifications. For everyone else, we're looking for people who embrace new ways of working, use AI responsibly to improve quality and efficiency, and continue to learn as the technology evolves.