Staff Data Analyst, GoFundMe

• You’re a strategic thinker and expert analyst with strong technical skills and a deep understanding of business needs
• You’re comfortable working independently, partnering directly with senior leadership, and leading through influence
• You consistently deliver high-quality, actionable insights and are passionate about helping others use data to make better decisions
• 6–8+ years of experience in business intelligence, analytics, or a related field
• Advanced SQL skills and comfort working with large dataset
• Expertise in business intelligence platforms, especially Looker (LookML a plus)
• Proven ability to perform end-to-end analysis: from problem framing to delivering actionable recommendations
• Strong business acumen and experience working closely with senior leadership
• Excellent communication and storytelling skills—you know how to bring data to life for any audience
• A track record of collaborating with cross-functional teams to solve complex problems
• Experience mentoring peers and elevating team capabilities through sharing best practices

Desirable

• As a Staff Data Analyst, you will lead high-impact analytical initiatives that shape strategic decisions and improve performance across the business
• You’ll design and deliver sophisticated dashboards, lead deep-dive analyses, and generate insights that influence key priorities
• You’ll partner closely with senior leadership and cross-functional stakeholders to proactively identify opportunities where data can unlock value, guide decision-making, and drive measurable outcomes
• Your work will help elevate the organization’s analytical maturity and ensure data is at the center of how decisions are made
• Build and maintain advanced, scalable dashboards and reporting solutions using BI tools like Looker
• Lead complex analyses that uncover trends, evaluate performance, and drive strategic recommendations
• Collaborate with senior leaders to understand their business goals and deliver data-driven solutions aligned to their priorities
• Translate open-ended business questions into structured analytical projects
• Communicate findings and recommendations clearly to both technical and non-technical audiences, including executives
• Partner with teams across the organization—including Data Science, Product, Marketing, and Finance—to develop cross-functional insights
• Identify high-leverage opportunities where analytics can drive business impact
• Mentor analysts and help define team standards, best practices, and learning opportunities
• Advocate for data literacy and enable adoption of BI tools across teams