Senior Product Data Analyst - AP & Network Analytics

At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters.

Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. We're remote-first, with office spaces in San Jose, CA and Draper, UT — and opportunities to connect in person when it counts. BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks.

BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another.

Let’s give businesses more time for what matters.

Make your impact within a rapidly growing Fintech Company

As part of the Product Analytics team, you will be the analytics owner for our Accounts Payable product. 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 AP leadership, with real ownership and executive visibility from day one.

• Set the analytics agenda for AP. Find product opportunities, data gaps, and automation candidates, and bring them to Product as recommendations that shape the roadmap.

• Own the AP analytics relationship: metric and OKR definition, a standing review cadence with Product, and a deep-dive practice you drive.

• Run experiments and apply causal inference, so recommendations rest on what moved a metric, not on correlation.

• Build and maintain production-grade data models in dbt with tests, documentation, and version-controlled workflows.

• Build with AI-assisted workflows by default, and automate recurring reporting to free your time for higher-value work.

• Drive executive reporting and its adoption across leadership and Product.

• Present with confidence to senior stakeholders, and hold your ground when a metric is contested.

• Partner with data engineering to validate data quality and metric definitions, and fix documentation-to-logic drift when you find it.

• 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 and strong Python.

• 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.

Visa Sponsorship:
Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

The estimated salary range for this role is noted below for…