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 deliver 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 automates data movement across systems, clouds, engines, and tools; dbt Labs pioneered analytics engineering. We support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

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.

• SQL (BigQuery / Snowflake)
• dbt / dbt State
• Looker / LookML
• Sigma / Hex / Google Sheets
• Claude Code / Codex
• Netsuite, CRM, and customer data and billing systems

• Develop sophisticated revenue models: build, maintain, and improve complex mathematical models used to project, attribute, analyze, and understand Fivetran’s revenue, customers, and underlying business drivers.
• Own revenue attribution and financial logic: design frameworks that accurately connect revenue to customers, products, contracts, usage, and other business dimensions, including complex attribution problems that require careful mathematical treatment.
• Build and improve revenue forecasting: develop models that project revenue and customer behavior using historical trends, leading indicators, statistical methods, and machine learning; continuously evaluate forecast accuracy and improve model performance.
• Build scalable analytical infrastructure: create data models, pipelines, and automated systems that are reliable, optimized, and scalable, enabling timely analytics and reporting for more than 2,000 stakeholders across the company.
• Maintain an exceptionally high bar for quality: develop rigorous validation, testing, and quality-assurance processes for financial data and analytical models; identify edge cases, challenge assumptions, and ensure outputs can withstand scrutiny from Finance and executive leadership.
• Partner closely with Finance leadership: work directly with the CFO organization and cross-functional leaders to translate complex business questions into analytical frameworks, define business rules, establish metrics and targets, and communicate findings clearly.
• Drive executive-level decision making: conduct high-impact, in-depth analyses that inform company strategy, financial planning, resource allocation, growth initiatives, and other critical business decisions.
• Embody ownership and operational excellence: take responsibility for the correctness and reliability of your work, continuously improve existing systems and methodologies, and raise the analytical bar for the broader team.

• 4+ years of experience in analytics, data science, business intelligence, or a related analytical role
• Advanced proficiency in SQL and data modeling, with experience working across large, complex datasets
• Exceptional quantitative ability and numerical intuition, with a strong foundation in mathematics, logic, statistics, and analytical problem-solving
• Experience using Looker, Tableau, Sigma, or similar business intelligence and visualization tools
• Strong analytical judgment and a track record of translating ambiguous business questions into structured analyses and actionable recommendations
• Exceptional attention to detail and a high bar for data quality, analytical rigor, and reproducibility
• 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
• Comfort operating in ambiguity, developing hypotheses, and owning analytical problems end-to-end
• Strong cross-functional instincts and the ability to build trusted relationships with both technical and non-technical partners
• A builder mindset: you look beyond answering one-off questions and create frameworks, datasets, and tools that make future decisions faster and better
• Passion for using data to improve how organizations attract, develop, and support their people
• Experience using analytics to support key business decisions, preferably at a high-growth, SaaS, or B2B product company

Oakland Pay Range: $156,082—$195,102.50 USD. Benefits include 100% employer-paid medical insurance*, generous PTO plus paid sick time, inclusive parental leave policy, holidays (including a year-end Global Week of Rest), volunteer days off, RSU stock grants*, professional development and training opportunities, company virtual happy hours, free food, fun team-building activities, monthly cell phone stipend, and access to an innovative mental health support platform. *May vary by country and worker type.

Apply via the Fivetran careers page for this role.