Senior Product Data Analyst - Payments & Financial Services

BILLcom; United States; Remote; USD 127,000 - 152,000; Full time

Job summary

BILL is seeking an Analytics Owner for its Payments products within Payments and Financial Services. You will define KPIs, build production-grade data models, and partner with Product, Engineering, Finance, and GTM leadership with direct executive visibility from day one.

You will run experiments, apply causal inference to validate improvements, and drive automation of recurring reports to free time for higher-value work. Experience with payments or fintech is a plus.

Qualifications

• 5+ years in product analytics, data science, or related quantitative field, owning a domain end to end.
• Strong SQL and Python proficiency.
• Experience with dbt or similar production data models.
• Fluency in experimentation and causal inference to justify decisions.
• Ability to present data-driven insights to senior stakeholders.

Responsibilities

• Set the analytics agenda for Payments and identify data gaps and automation opportunities.
• Own the Payments analytics relationship with product, engineering, finance, and GTM leadership.
• Run experiments and apply causal inference to base decisions on moved metrics.
• Build production-grade data models in dbt with tests and documentation.
• Automate recurring reporting and drive executive reporting adoption across leadership.

Skills

Advanced SQL

Python

causal inference

data storytelling

experimentation

AI-native tooling

Tools

dbt

Job description

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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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. 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

You will be the analytics owner for BILL's payments products within Payments and Financial Services (PFS), covering payment conversion and failures, card and pay‑by‑card, settlement, and monetization.

This is not a role that runs the analyses Product hands you. You will find what Product did not know to ask: the failure pattern quietly eroding conversion, the manual step that should be automated, the deep dive that changes a roadmap call. Your work is measured by the product and roadmap decisions it drives.

You will set the analytics agenda for payments, define the KPIs the business runs on, and build the production‑grade data models behind them. You will partner directly with Product, Engineering, Product Marketing, Finance, and GTM leadership, with real ownership and executive visibility from day one.

Responsibilities

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

• Own the Payments analytics relationship. Define metrics and OKRs, run a standing review cadence with Product, and drive a deep‑dive practice.

• 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 and finance to validate data quality and metric definitions, reconcile payment data against source systems, and fix documentation‑to‑logic drift when you find it.

We would love to chat if you have

• 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 already build with agentic coding tools, 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.

• *Nice to have:* experience with payments, fintech, or marketplace data, such as payment rails, settlement and reconciliation, fraud and risk signals, or pricing and monetization.

Visa SponsorshipResponsibilities

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

• Own the Payments analytics relationship. Define metrics and OKRs, run a standing review cadence with Product, and drive a deep‑dive practice.

• 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 and finance to validate data quality and metric definitions, reconcile payment data against source systems, and fix documentation‑to‑logic drift when you find it.

We would love to chat if you have

• 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 already build with agentic coding tools, 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.

• *Nice to have:* experience with payments, fintech, or marketplace data, such as payment rails, settlement and reconciliation, fraud and risk signals, or pricing and monetization.

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.

Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed below. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits. The estimated salary ranges noted below roles in the specific geographic zones

Zone 1: San Francisco Bay Area CA (includes HQ), New York City, Seattle, Los Angeles County

$126,900—$151,800 USD