Senior Product Data Analyst - Payments & Financial Services

BILL

1d•$107,800 - $151,800•Remote

About The Position

BILL is seeking a Senior Product Data Analyst to own analytics for its Payments products within Payments and Financial Services (PFS), including payment conversion and failures, card and pay-by-card, settlement, and monetization. This is a self-directed role focused on identifying opportunities, data gaps, and automation candidates, then using analysis and recommendations to shape product and roadmap decisions. The analyst will set the analytics agenda for payments, define business KPIs, and build production-grade data models, while partnering directly with Product, Engineering, Product Marketing, Finance, and go-to-market leadership. The role includes executive visibility and responsibility for driving decisions through analytics. The analyst will own the Payments analytics relationship by defining metrics and OKRs, establishing a recurring review cadence with Product, and leading deep dives. They will run experiments and apply causal inference, build and maintain dbt models with tests and documentation, use AI-assisted workflows, automate recurring reporting, and drive executive reporting adoption. They will also collaborate with data engineering and finance to validate data quality and metric definitions, reconcile payment data with source systems, and resolve discrepancies between documentation and implementation. This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States without requiring visa sponsorship now or in the future. The role is remote-first, with office spaces in San Jose, California, and Draper, Utah, and opportunities to connect in person. Salary varies by geographic zone: Zone 1, $126,900–$151,800; Zone 2, $114,200–$136,700; Zone 3, $107,800–$129,100. The role is eligible for a benefits package.

Requirements

At least 5 years of experience in product analytics, data science, or a related quantitative field, with end-to-end ownership of a domain.
A track record of self-directed work, finding high-impact problems and delivering fixes.
Advanced SQL and strong Python skills.
Production experience with dbt or a similar tool, including models, tests, documentation, and version-controlled review.
Fluency in experimentation and causal inference, and sound judgment about when experimentation is appropriate.
AI-native fluency, including experience building with agentic coding tools and understanding where their output can and cannot be trusted.
Ability to turn ambiguous questions into a metrics framework and defend that framework.
Data storytelling skills that turn complex findings into decisions acted upon by product teams.
Authorization to work in the United States without requiring visa sponsorship now or in the future.

Nice To Haves

Experience with payments, fintech, or marketplace data, such as payment rails, settlement and reconciliation, fraud and risk signals, or pricing and monetization.

Responsibilities

Set the analytics agenda for Payments by identifying product opportunities, data gaps, and automation candidates across payment methods, and recommend actions to Product that shape the roadmap.
Own the Payments analytics relationship: define metrics and OKRs, establish a standing review cadence with Product, and drive a deep-dive practice.
Run experiments and apply causal inference to determine what caused metric changes and support recommendations.
Build and maintain production-grade data models in dbt, including tests, documentation, and version-controlled workflows.
Use AI-assisted workflows and automate recurring reporting to focus time on higher-value work.
Drive executive reporting and adoption across leadership and Product.
Present findings confidently to senior stakeholders and defend metrics when contested.
Partner with data engineering and finance to validate data quality and metric definitions, reconcile payment data against source systems, and correct documentation-to-logic drift.

Benefits

Medical, dental, and vision insurance, with 100% paid employee plans and HMO, PPO, or HDHP options.
Health savings and flexible spending accounts.
Life insurance and long- and short-term disability coverage.
Employee Assistance Program (EAP).
11 or more observed holidays and wellness days, plus flexible time off.
Employee Stock Purchase Program with employee discounts.
Wellness and fitness initiatives.
Employee recognition and referral programs.
401(k) retirement plan.
Paid holidays and paid time off.