Applied AI engineer: pricing analytics - Fintech foundation (100% Remote - USA)

Hopper is a leading travel platform that combines a travel agency with fintech offerings. The Pricing Analytics Architect will architect and implement AI-powered analytics platforms to optimize pricing for Hopper's products, ensuring quality and performance in data architecture.

Responsibilities:

• Architect and build production-ready, self-service dashboards, and automated analytical tools, integrating core AI/ML features to improve access and deliver novel insights and diagnostics
• Lead the data quality and data architecture roadmap for the Fintech Foundation team's reporting systems, ensuring high fidelity and trusted data for all internal and partner-facing analytics
• Act as the primary technical point of contact for internal business stakeholders, translating complex analytical needs into technical specifications and managing the feature backlog for the analytics platform
• Grow use of our data platform through documentation, training, and a strong push towards self-service

Requirements:

• Deeply curious with strong problem-solving ability, critical thinking, and attention to detail
• Proven experience in architecting and implementing self-service business intelligence (BI) solutions or data products
• Highly quantitative with advanced hands-on experience in SQL and data architecture/modeling
• Strong understanding of financial metrics, data quality principles, and reporting tools like Looker or Tableau
• Excellent communication, presentation, and stakeholder management skills with a strong technical PM slant