Senior Product Data Analyst

BILL•San Jose, CA

About The Position

As part of the Data Science & Analytics team, you’ll turn BILL’s rich product data into insights that power smarter decisions across our payment products. In this role, you’ll partner closely with Product Management, Engineering, Marketing & other cross-functional teams to support Tier 1 initiatives with a 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.

Requirements

Deep customer empathy, understanding of the importance of context, compelling curiosity, and the humility to ask basic, even obvious questions.
Bachelor's degree in a related field plus 3+ years of experience in analytics and/or data science, or Master's degree in a related field 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.

Nice To Haves

A background in finance, credit or risk analysis.

Responsibilities

Partner with Product, Engineering, and cross-functional teams to translate business questions across Tier 1 product initiatives into clear analytical plans, metrics, data flows 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.
Leverage AI in every aspect of your work to accelerate the team’s work.