Destaca en este puesto — crea un currículum adaptado y una carta de presentación en aproximadamente un minuto.
Peek is seeking a Data Analyst - Analytics, AI, and Customer Insights to transform data into actionable insights, reporting, and business improvements. You will work across BI, product analytics, partner-facing analytics, and AI-enabled workflows.
Fluency in English and French is required as you may engage in client-facing conversations, presentations, and follow-ups with diverse stakeholders across the organization.
Peek is the operating system powering the experiences industry - from museums and attractions to tours and activities. With over $7B in bookings, Peek's AI-powered platform has helped thousands of merchants to increase revenues, save time, and deliver seamless guest experiences. Customers include MoMA, Whitney Museum, Seattle Aquarium, Bryant Park & Looping Group. The company has raised over $150 million from institutional investors Westcap, Goldman Sachs, and SpringCoast Partners. Learn more at www.peek.com.
As a remote-first company recognized by Forbes as one of America's Best Startup Employers and by Built In as a 2025 and 2026 Best Place to Work, we are a global team of "Peeksters" who "Obsess Over Our Customers," "Accomplish Big Things," "Collaborate With Purpose," and "Get Better Every Day."
Peek is looking for a curious, product-minded, and data-driven Data Analyst - Analytics, AI, and Customer Insights to help turn data into meaningful insights, reporting, and business improvements.
In this role, you'll work across business intelligence, product analytics, partner-facing analytics, and AI-enabled workflows. You'll support internal teams across Product, Operations, Marketing, Finance, Customer Success, and Leadership, while also helping deliver insights directly to Peek's business customers.
This is a role for someone who is comfortable working with data, communicating clearly, and translating complex analysis into practical recommendations. Because this role may involve working directly with English and French speaking customers, the ideal candidate must be fully fluent in both French and English and comfortable participating in client-facing conversations, presentations, and follow-ups.
You do not need to be a machine learning engineer or train models from scratch. You should, however, be comfortable using modern AI tools thoughtfully, evaluating