Product Data Analyst

Make your impact within a rapidly growing Fintech Company

As part of the Data Science & Analytics team youll turn BILLs rich product data into insights that power smarter decisions across our Spend & Expense this role youll partner closely with Product & other cross-functional teams to support Tier 1 initiatives with robust metrics strategy analytical frameworks and actionable deep dives. Youll 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.

Wed love to chat if you have:

• Bachelors degree in a quantitative field (Math CS MIS or Economics) and 3 years of experience in analytics or data science; a Masters 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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