Senior Data Analyst (Revenue)

Join Fivetran as a Senior Data Analyst, Revenue, where you'll support the CFO and Finance organization in solving complex analytical problems. This role requires exceptional numerical intuition, rigorous logical thinking, and a high bar for accuracy. You'll develop sophisticated revenue models, own revenue attribution and financial logic, build and improve revenue forecasting, create scalable analytical infrastructure, maintain high-quality standards, partner closely with Finance leadership, drive executive-level decision making, and embody ownership and operational excellence.

• Develop sophisticated revenue models and build, maintain, and improve complex mathematical models used to project, attribute, analyze, and understand Fivetran’s revenue.
• Own revenue attribution and financial logic by designing frameworks that accurately connect revenue to customers, products, contracts, usage, and other business dimensions.
• Build scalable analytical infrastructure by creating data models, pipelines, and automated systems that are reliable, optimized, and scalable, enabling timely analytics and reporting.

• Experience using Looker, Tableau, Sigma, or similar business intelligence and visualization tools
• Experience using analytics to support key business decisions, preferably at a high-growth, SaaS, or B2B product company
• Exceptional quantitative ability and numerical intuition, with a strong foundation in mathematics, logic, statistics, and analytical problem-solving
• Passion for using data to improve how organizations attract, develop, and support their people
• Strong cross-functional instincts and the ability to build trusted relationships with both technical and non-technical partners
• Exceptional attention to detail and a high bar for data quality, analytical rigor, and reproducibility
• 4+ years of experience in analytics, data science, business intelligence, or a related analytical role
• A builder mindset: you look beyond answering one-off questions and create frameworks, datasets, and tools that make future decisions faster and better
• Strong analytical judgment and a track record of translating ambiguous business questions into structured analyses and actionable recommendations
• Excellent communication and data storytelling skills; you can make complex findings intuitive and help decision-makers understand not just what is happening, but why it matters and what to do next
• Advanced proficiency in SQL and data modeling, with experience working across large, complex datasets
• Comfort operating in ambiguity, developing hypotheses, and owning analytical problems end-to-end