Too Lost is seeking a Business Intelligence & Product Analyst. We sit on a massive amount of information—from how artists use our platform to how royalties flow around the world—and we need someone who is energized by the challenge of organizing that data into a clear picture of our business.

In this role, you will work closely with our Senior Data Scientist to bridge the gap between our raw data infrastructure and our daily business decisions. While our Data Scientists focus on long-term modeling and architecture, you will be the go-to person for translating that data into actionable insights for our Product, Operations, and Leadership teams.

This is a hybrid full time position work from either our New York, NY or Los Angeles, CA office. Our hybrid schedule requires employees to work from the office 4 days a week and allows for 1 day work from home. 

What You’ll Be Doing

• Partner with our Senior Data Scientist to identify trends in artist behavior and catalog performance, ensuring our data is both technically accurate and business-relevant.
• Work directly with our databases, writing SQL queries to pull the information needed to answer urgent business questions and support strategic shifts.
• You’ll define and track the metrics that matter most to our health, such as how many new artists are joining, how long they stay with us, and the overall performance of our music catalog.
• You will analyze how user data moves through our platform—from signing up to receiving their first payout—identifying exactly where they get stuck and suggesting ways to make the experience smoother.
• Create and manage clear, easy-to-read reports and dashboards (using tools like Tableau, Looker, or Metabase) so that every department can monitor their own progress.
• Work with the Data Science and Engineering teams to ensure our event tracking and data collection are clean, consistent, and useful for the entire company.

What We’re Looking For:

• 3+ years of experience in a data-focused role. You likely have a background in a startup, product analytics, business intelligence, or data analyst role, ideally in SaaS, marketplace, fintech, or media/creator economy.
• You are very comfortable writing SQL to join and filter large, complex datasets. You know how to get the answers you need without needing someone else to build the report for you.
• Experience with at least one BI / visualization tool (e.g., Looker, Tableau, Metabase, Mode, Power BI) and an eye for clear, intuitive dashboards.
• Solid understanding of experimentation basics (A/B testing, cohorts, statistical significance) and comfort working with ambiguous problems.
• Experience defining and owning core product metrics and using them to guide roadmaps and evaluate launches.
• You have a knack for explaining what the numbers actually mean. You can take a complicated spreadsheet and turn it into a clear recommendation for people who aren't "data people."
• You are naturally inclined to ask "Why?" when you see a trend. You enjoy digging into the details to find the root cause of a change in performance.
• You have experience with modern business intelligence tools and an eye for designing reports that are simple and intuitive to use.