Senior Data Analyst, Revenue

About Us

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.

Technologies You’ll Use

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

What You’ll Do

• 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. Work in an environment with a strong emphasis on mathematical reasoning, robust logic, numerical precision, and analytical rigor.
• 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 over time.
• 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.

Skills We’re Looking For

• 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
  

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