The Senior Product Analyst uses digital footprints, surveys, and experiments to understand user behavior and drive product decisions. Reports to the Product Analytics Lead.
Responsibilities:
- Make product data accessible and useful for decision-making.
- Define metrics, design and automate reports and dashboards in Looker with Product and cross-functional teams.
- Measure the impact of product features and growth experiments on metrics such as conversion, active subscriptions, and customer lifetime value.
- Investigate changes in product data and turn analysis into actionable recommendations.
- Build and maintain analytical tools and services, including LLM-powered automation.
Requirements:
- 3+ years of data analytics experience and experience delivering analytical solutions for complex product problems.
- Strong statistical and experimentation skills, including advanced A/B testing, variance reduction, sequential testing, multiple comparisons, sample ratio mismatch checks, heterogeneous treatment effects, and causal inference.
- Hands-on machine learning experience with product use cases such as churn, propensity, uplift modeling, segmentation, or recommendations.
- Strong SQL skills and experience working with large datasets and product analytics or BI tools.
- Strong Python engineering practices, including maintainable code, version control, tests, APIs, and scheduled pipelines; experience using LLMs to support coding and automate analytical workflows.
- Strong written and verbal communication skills and upper-intermediate English or higher.
Conditions and benefits: Remote-first role for applicants outside the US; competitive base compensation, bonus program, and paid time off.