Staff Business Analyst, Revenue Data

About The Role

Shopify's Revenue Data team forms the analytical backbone of its commercial organization, partnering with Sales, Marketing, and Finance leadership to drive strategic growth. This is a critical role at the intersection of data, business strategy, and executive communication, focused on proactive insights rather than just reporting.

What You'll Do

• Own end-to-end analytics across Shopify's commercial engine, covering pipeline health, ARR and bookings performance, sales productivity, marketing attribution, and Go-To-Market strategy.
• Serve as a strategic thought partner to commercial leadership, identifying growth opportunities and diagnosing performance issues early.
• Translate complex revenue data into clear, actionable narratives for executive-level decision-making, providing direct recommendations.
• Lead high-stakes analytical projects from inception to delivery, aligning cross-functional teams (Sales, Marketing, Finance, RevOps) and achieving measurable outcomes.
• Develop scalable reporting and analysis frameworks, transitioning from ad-hoc requests to durable, self-serve data infrastructure.
• Empower commercial teams to become more proficient consumers of data, making it easier for partners to find answers independently.

What You Bring

• 8+ years of experience in analytics, business intelligence, or a related field, with substantial focus on commercial or revenue functions.
• Structured problem-solving skills, capable of breaking down ambiguous business questions into analytical components and delivering concrete recommendations.
• Exceptional data storytelling abilities to simplify complex information for executive audiences and drive action.
• Deep commercial acumen, including understanding pipeline mechanics, revenue recognition, sales motions, and marketing funnels to critically challenge data.
• Expert-level SQL proficiency for complex analysis and workflow optimization.
• Strong visualization skills, with experience building high-impact dashboards in tools like Looker.
• Applied knowledge of statistical methods (e.g., regression, hypothesis testing, forecasting) and the judgment to apply them appropriately.
• The ability to context-switch efficiently between long-term strategic initiatives and high-priority requests while maintaining quality.

Nice to Have

• Experience in Ecommerce, SaaS, or platform businesses, providing a head start in understanding commercial models.
• Python proficiency for statistical modeling, automation, or data pipeline development.
• Experience operating at or presenting to the C-suite / VP+ level.

You'll Be Working With

This Staff Business Analyst, Revenue Data role is part of the Data Science & Engineering organization, collaborating closely with Sales leadership, Marketing, Finance, and Revenue Operations. You will report into the Revenue Data team and interact daily with data scientists, analysts, and engineers dedicated to delivering high-quality insights.

About Shopify

Shopify empowers entrepreneurs globally, making independence accessible for anyone with a business dream. Since 2006, Shopify has grown significantly, supporting millions of merchants across 175 countries and generating over $1 trillion in sales. This is a role that directly impacts people's lives by fostering economic opportunity.

About You

Shopify thrives on change, complexity, and ambiguity. Ideal candidates are comfortable being uncomfortable, caring deeply about their work, and seeking hypergrowth. Resilience, resourcefulness, critical thought, and a digital-first approach are key. Embrace differences and leverage AI tools, focusing on uniquely human contributions.

• Care deeply about what you do and about making commerce better for everyone.
• Excel by seeking professional and personal hypergrowth.
• Keep up with an unrelenting pace (the week, not the quarter).
• Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change.
• Bring critical thought and opinion.
• Put AI agents and tools to work on the tasks they're built for, and focus on the work only humans can do.
• Embrace differences and disagreement to get shit done and move forward.
• Work digital-first for your daily work.

Key skills/competency

• Data Analysis
• SQL
• Business Intelligence
• Revenue Operations
• GTM Strategy
• Data Visualization
• Stakeholder Management
• Statistical Methods
• E-commerce Analytics
• Executive Storytelling