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Senior Product Data Analyst - Payments & Financial Services
Bill.com · United States · Posted 13 days ago
Own the analytics agenda for BILL's payments products, from conversion and failures to settlement and monetization, with your recommendations directly shaping the roadmap.
Innovate with purpose
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.
- 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
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This posting is sourced from Bill.com's own career site — applying takes you there directly.
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