Product Data Analyst

Required Skills & Experience

• 5+ years in product analytics, data science or a related quantitative field, owning a domain end to end.
• A track record of self-directed work: finding high-impact problems and shipping the fix.
• Advanced SQL
• Production experience with dbt or similar: models, tests, documentation, version-controlled review.
• Fluency in experimentation and causal inference, and the judgment to know when an experiment is the right tool.
• Genuine AI-native fluency. You build with agentic coding tools already, and you know from experience where their output can and cannot be trusted.
• The judgment to turn an ambiguous question into a metrics framework, and the spine to defend it.
• Data storytelling that turns a complex finding into a decision a product team acts on.

Job Description

As part of the Product Analytics team, you will be an analytics owner for some of BILL's most important product experiences. Not a role that runs the analyses Product hands you, but one that finds the analysis Product did not know to ask for: the metric that is quietly wrong, the automation nobody noticed, the deep dive that changes a roadmap call. You will work directly with Product, Engineering, and senior leadership, with real ownership and executive visibility from day one. Your focus will start with one product area and grow with the business, so you should be comfortable moving between domains.