Product Analyst - AI Analytics

About the role

Priceline's Customer Care organization is looking for a Product Analyst who also acts as a product owner for a new AI-enabled data architecture. The role combines product management of what gets built, in what order and why, with hands-on analysis that drives decisions for the Customer Care leadership team. It is a shared resource for the Customer Care Product Management team, reporting to the Director of Product Management, Customer Care, and follows a hybrid model of two days in the office.

Key responsibilities

• Define the roadmap and sequence of a new AI-enabled data architecture for Customer Care, partnering with Data Science and Engineering
• Design and build AI/agent-based workflows on BigQuery and other data sources that automate reporting and surface anomalies and trends
• Build a reusable insights layer for core metrics such as customer sentiment, cost and loyalty indicators
• Evaluate and pilot new AI tools and agent frameworks, and run competitive and market research
• Turn large, messy datasets into clear narratives linking Customer Care performance to commercial outcomes, and build reports that recommend next steps
• Own metric definitions, consistency and reliability, and lead the observability transformation of servicing metrics
• Partner with data science and product management to develop insights and programs balancing P&L requirements with long-term loyalty investments
• Script complex SQL queries to capture, analyze and supervise acquisition, engagement, monetization, engagement and retention analyses
• Lead analytical conversations with Product, Operations, Technology and senior leadership, and build business cases and ROI models for investment decisions

Required profile

• 5+ years in analytics, BI or a hybrid product/analyst role
• Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics or Business) or equivalent practical experience
• Strong written and verbal communication, able to present analysis to senior stakeholders
• Business acumen connecting operational metrics to commercial impact

Required skills

• Strong SQL and hands-on experience with BigQuery or a comparable cloud data warehouse
• Demonstrated experience building analysis and workflow automation with AI/LLM tools, such as Claude
• Dashboards and reports in Tableau, Looker or similar

What we offer

• Salary range of CAD 80,000 - 95,000, with possible annual bonus and/or equity grant
• Hybrid work with two days in the office, chosen by the employee and manager
• Health, dental, vision and mental health coverage, generous time off and work-life support
• Retirement plans, life and disability coverage, and signature travel perks