Senior Product Data Analyst

Senior Staff Product Data Analyst

Innovate with purpose

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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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. Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, 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

Join BILL as a Senior Staff Product Analyst on our Central Data & Analytics team, where you'll turn our rich payments and back-office data into the trusted products, models, and insights that power decisions across the company. In this high-visibility individual contributor role, you'll be the deepest technical and analytical authority in your domain, architecting the data products and frameworks that underpin strategic, operational, and regulatory outcomes for leaders across Finance, Product, and Go-to-Market.

You'll sit at the intersection of data architecture, product analytics, and executive decision-making, setting the bar for how analytics is built and consumed  you love taking ambiguous business problems from idea to production-grade data assets, care deeply about metrics rigor and data quality, and thrive as the person others call when the problem is hard and high stakes, this role is for you.

Responsibilities:

• Own end-to-end delivery of high-leverage data products — from ambiguous business problem to production-grade dashboards, semantic layers, and data marts — with clear accountability for design, build, and impact.
• Architect scalable, reliable data models and pipelines that serve as the organization's source of truth, balancing performance, cost, governance, and usability.
• Define, document, and enforce technical standards for AI governance, data quality, metrics definitions, and dashboard design, creating patterns that other analysts and engineers adopt.
• Translate complex, high-stakes business questions into rigorous metrics frameworks, instrumentation plans, and experimentation or analysis approaches that executives can act on with confidence.
• Act as a force multiplier by mentoring analysts and engineers across teams, reviewing designs and code, and raising the technical bar through example and guidance.
• Build trusted advisory relationships with senior leaders, influencing data and analytics strategy and helping resolve cross-team misalignment around data ownership, definitions, and architecture.
• Drive org-wide adoption of data products and standards through clear documentation, training, office hours, and proactive communication — measuring success by usage, trust, and decision impact.
• Evaluate and apply AI/LLM-based tooling to accelerate analysis and self-serve consumption of data products, e.g. natural-language query interfaces, automated metric anomaly detection, or AI-assisted documentation, while ensuring outputs meet the same governance and accuracy bar as human-authored analysis

We'd love to chat if you have:

• 10+ years of progressively deeper experience in analytics, BI, or data engineering, with a track record of independently owning large-scope, high-impact initiatives end to end.
• Expert-level SQL skills, including query optimization at scale, advanced window functions and CTEs, and the ability to explain and improve…