With over $3 billion in bookings of experiences, the Peek.com platform combines powerful business software with an award-winning marketplace for consumers to book fun things to do like wine tours, watersports, skydiving, art classes, and more.
The Peek Pro software suite provides world-class online booking, point-of-sale, and hundreds of automation tools such as inventory management, dynamic pricing, waivers, and marketing analytics. Thousands of operators like the Museum of Ice Cream, Artechouse, and Jam NOLA have grown their businesses and automated their operations with our technology.
Peek follows a “remote-first” philosophy, with our team of over 250 Peeksters distributed across exciting locales such as San Francisco, New York, Austin, Nashville, Salt Lake City, Santiago, Medellin, and beyond. Having secured funding exceeding $100 million from esteemed backers like Westcap and Goldman Sachs, we continue our mission to connect the world through experiences.
PS: In 2021, Peek was not only recognized with a coveted position on Forbes America’s Best Startups Employer list but also celebrated an honor from Newsweek with their Future of Travel award . And the accolades don’t stop there! We’re ecstatic to announce our #14 ranking on the a16z Marketplace 100 for 2023!

THE ROLE

As a Business Intelligence Analyst at Peek, you’ll transform data into strategic insights that shape our business decisions and drive growth. You’ll work across diverse datasets to ensure quality, uncover opportunities, and deliver impactful reporting and predictive analytics. We’re looking for someone who’s excited to leverage AI-powered analytics, and automation to take BI to the next level.

WHAT YOU’LL DO

• Create actionable insights across key business units using advanced analytics, AI models, and data storytelling.
• Design, build, and maintain intuitive dashboards and analytic tools using BI platforms like Looker, Tableau, or similar.
• Automate data workflows with Python, SQL, DBT, and AI-assisted data pipelines to increase efficiency and accuracy.
• Analyze complex business problems, identify root causes, and develop scalable technical solutions.
• Leverage statistical modeling and machine learning for forecasting, segmentation, and anomaly detection.
• Ensure data quality, security, and compliance across all reporting and analytic processes.
• Collaborate cross-functionally to identify opportunities where AI-driven insights can improve decision-making.
• Experiment with AI/ML tools to enhance analytics capabilities (e.g., predictive demand forecasting, automated insights, natural language queries).