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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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

As part of the Data Science & Analytics team, you’ll turn BILL’s rich product data into insights that power smarter decisions across our Spend & Expense product. In this role, you’ll partner closely with Product & other cross‑functional teams to support Tier 1 initiatives with robust metrics strategy, analytical frameworks, and actionable deep dives. You’ll work hands‑on with large, complex datasets to answer critical product questions, quantify opportunities, and measure the impact of features tied to our growth priorities.

• Partner with Product, Engineering, and cross‑functional teams to translate business questions across Tier 1 product initiatives into clear analytical plans, metrics, and experiment designs.
• Query and analyze large, complex datasets to uncover trends in customer behavior, funnel performance, and feature adoption, transforming findings into actionable recommendations for product teams.
• Build, maintain, and iterate on dashboards and recurring reports that track key product KPIs, highlighting trends, anomalies, and areas for deeper investigation.
• Contribute to goal setting and forecasting for key product initiatives, partnering with product managers to size opportunities and model expected impact on growth and engagement.
• Validate data quality and consistency for your product domains by collaborating with data engineering on instrumentation, documentation, and clear metric definitions.
• Communicate insights through clear narratives, visualizations, and presentations that make complex analysis easy to understand for non‑technical stakeholders and influence product direction.

• Bachelor’s degree in a quantitative field (Math, CS, MIS, or Economics) and 3+ years of experience in analytics or data science; a Master’s degree is a plus.
• A solid analytical foundation, with experience working in a quantitative discipline (such as analytics, data science, business intelligence or a related field) or equivalent practical experience.
• Advanced Proficiency in SQL & business intelligence/visualization tools, i.e., Tableau or Looker.
• Hands‑on Experience with DBT for building & maintaining production‑grade analytical models, including tests, documentation & Git‑based workflows.
• Experience applying analytical and statistical techniques (such as descriptive analytics, cohort analysis, and A/B testing) to answer product or business questions and drive decision‑making.
• Strong communication and data storytelling skills, with the ability to translate ambiguous stakeholder questions into structured analyses and distill complex results into clear, compelling insights for product partners.
• A collaborative, growth‑minded approach, with a bias toward learning, iterating, and building trusted partnerships with Product, Engineering, Design, and other cross‑functional teams.

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.

Redefining how businesses automate their work is a fast‑paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well.

• 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
• HSA & FSA accounts
• Life Insurance, Long & Short‑term disability coverage
• Employee Assistance Program (EAP)
• 11+ Observed holidays and wellness days and flexible time off
• Employee Stock Purchase Program with employee discounts
• Wellness & Fitness initiatives
• Employee recognition and referral programs
• And much more

The estimated salary range for this…