Product Data Analyst

BILL • San Jose, CA

6h

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 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.

Requirements

• 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.

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.

Benefits

• 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
• medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level