Remote Position

[Remote] Senior Product Data Analyst - Payments & Financial Services

๐ŸŒ Remote ยท United States ๐Ÿ’ผ Full-time

Note: The job is a remote job and is open to candidates in USA. BILL is hiring an analytics owner for its Payments and Financial Services products. The Senior Product Data Analyst will set the payments analytics agenda, define metrics, build and maintain production-grade data models, and deliver analysis and reporting that inform product and roadmap decisions. The role partners with Product, Engineering, Product Marketing, Finance, and GTM leadership.

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

Skills

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

Benefits

  • Remote-first work arrangement, with office spaces in San Jose, CA and Draper, UT, and opportunities to connect in person when it counts.
  • Medical, dental, and vision insurance; 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP).
  • 401(k) retirement plan.
  • Flexible spending and health savings accounts (FSA and HSA).
  • Life insurance and long- and short-term disability coverage.
  • Paid holidays, including 11+ observed holidays and wellness days.
  • Flexible time off.
  • Employee Assistance Program (EAP).
  • Employee Stock Purchase Program with employee discounts.
  • Wellness and fitness initiatives.
  • Employee recognition and referral programs.

Company Overview

  • Dice is the go-to career marketplace for tech professionals. It was founded in 1990, and is headquartered in Centennial, Colorado, USA, with a workforce of 201-500 employees. Its website is https://www.or-quest.nl/.
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