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Salary: USD 91,000 - 114,000 / annual
Flywire is seeking a Senior Business Intelligence Analyst to lead the vision and direction for how the company communicates data and analytics capabilities to clients. This is a cross-functional role spanning data & analytics, product development, relationship management, and sales.
You will partner with business stakeholders to understand unique client situations and deliver analyses demonstrating the value and ROI of Flywire's platform. Key responsibilities include:
• Help set company vision for communicating data and value proposition to clients
• Partner with business stakeholders to understand client situations and deliver value analyses
• Lead design and development of customer-facing dashboards
• Collaborate with product and engineering teams to ensure reporting solutions are secure, scalable, and deliver seamless user experience
• Manage cross-functional projects with both technical depth and strategic business perspective
Flywire is a global payments enablement and software company supporting over 5,300 clients across education, healthcare, travel, and B2B industries. The company operates in 15 offices worldwide with 1,400+ employees representing 40+ nationalities.
REQUIREMENTS:
• 5+ years of experience in business intelligence, product management, data and analytics, or related field
• Proven ability to influence cross-functional teams
• Strong experience with business intelligence tools (preference for Looker and Sigma)
• Comfortable presenting to internal and external stakeholders
• Strong communication skills; ability to make complex data comprehensible
• Emerging data science and analytical skills
• Familiarity and comfort with emerging AI technologies, digital assistants for natural language queries, and core LLM tools
• Strong business acumen connecting data and dashboard design to revenue, client retention, and company strategy
• Experience with finance-related data (revenue, billing, payments, financial reporting) and translating to stakeholder-ready insights
• Experience with client or CRM data (e.g., Salesforce) to build unified view of client relationships and usage patterns
