Senior Data Analyst, Revenue

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About This Role We’re hiring a Senior Data Analyst, Revenue to support our CFO and Finance organization on some of the most complex and consequential analytical problems at Fivetran. This role sits at the intersection of finance, data, and applied mathematics, with a focus on understanding, forecasting, and modeling the economic engine of the business. You’ll develop sophisticated models for revenue attribution, forecasting, customer behavior, and financial performance; build the underlying data infrastructure that powers company-wide reporting; and partner directly with Finance and executive leadership on decisions that shape the business. This is a highly quantitative role for someone with exceptional numerical intuition, rigorous logical thinking, and an unusually high bar for accuracy. You’ll work on problems where small errors can have meaningful downstream consequences, and where the best solution often requires going beyond standard reporting into mathematical modeling, statistical methods, or machine learning. If you enjoy decomposing ambiguous business problems into precise mathematical frameworks, stress-testing assumptions, and building models that become foundational to how a company operates, this role offers the opportunity to work on some of our hardest analytical challenges. This is a full-time, flexible hybrid position based out of our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration. There is no mandate on the number of days required but we encourage employees to come in every week to collaborate.