Product Data Analyst

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.

Responsibilities:

• 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.

We’d love to chat if you have:

• 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.

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