BI Analyst

At Finout, we’ve built a powerful cloud cost management platform designed to help engineering and FinOps teams take control of their spend, without the guesswork. With customers like Wiz, Lyft, SiriusXM, and The New York Times, we're growing fast and looking for sharp, curious minds to help us lead the charge.

We’re hiring our first Business Intelligence Analyst to lay the foundation for Finout’s data-driven culture. This role is built for someone who’s deeply business-minded, analytical, and excited to translate data into meaningful insights. You’re curious about how the business works, eager to answer real questions with real data, and have the drive to independently learn and master new tools and systems. You’re comfortable navigating data environments and can connect the dots between business needs and data solutions.

This is a unique opportunity to join a fast-scaling startup in a hot space and shape how data drives strategy and execution from day one.

Responsibilities:

• Work closely with management to understand what matters most, and define the metrics that drive our business forward
• Collaborate with R&D and developers to make sure the right data is flowing in, accurate, and accessible
• Connect tools like Salesforce and NetSuite into a unified, trustworthy view of the company
• Turn complex data into simple, beautiful dashboards that teams actually use
• Help shape a culture where data isn’t just available—it’s useful, actionable, and part of every conversation
  
  

• 4+ years of experience in a Business Intelligence or data-focused role
• Strong analytical thinker with a strategic, business-oriented mindset
• Self-motivated and able to independently learn new tools, systems, and concepts
• Comfortable owning and managing projects end-to-end, across multiple teams
• Skilled at building dashboards and reports that translate data into clear business insights
• Solid SQL skills with the ability to explore and query data independently
• Exposure to data pipelines, ETL processes, and working within data warehouse environments
• Bonus: Understanding of SaaS metrics like ARR, retention, funnel conversion, LTV/CAC
• Bonus: Experience setting up a BI system or reporting infrastructure from scratch