• Build and maintain dashboards that track product health: activation, retention, task success, and agent reliability
• Analyze agent run data to find where tasks fail, stall, or need human rescue
• Answer product questions with data, and be honest when the data can't answer them
• Help define and instrument the events and metrics we should be tracking in the first place
• Support experiment design and read out results without overclaiming
• Turn analysis into recommendations, with a clear view of what you'd do next
• Make your work reproducible so others can build on it
• YOU MIGHT BE A FIT IF
• You're pursuing a Bachelor's or Master's degree in Statistics, Computer Science, Economics, Engineering, or a related field, or equivalent experience
• You're solid with SQL and comfortable in Python or R for analysis
• You've built a dashboard or analysis someone else actually used
• You understand the basics of experimentation and are appropriately skeptical of noisy results
• You can explain a finding to someone who won't read the notebook
• You're curious about the product, not just the numbers
• Bonus: experience with product analytics tools, dbt, or working with event data at scale