A day in the life
- Check dashboards for unusual metric changes and investigate root causes
- Meet with product and design to align on questions and success metrics
- Write SQL to pull data, then summarize insights in a short update
- Review experiment results and recommend whether to ship or iterate
- Document tracking needs and follow up with engineers on data quality
Tools you will use