Data Analyst – Analytics and AI

Data Analyst – BI and AI

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 Spring Coast Partners.

Peek is looking for a product-minded, data-driven, and growth-oriented Data Analyst – BI and AI to turn data into meaningful insights, reporting, and data-driven improvements. In this role, you'll work at the intersection of business intelligence and the exciting new frontier of AI-enabled analytics, supporting Product, Operations, Marketing, and Leadership with high-impact insights.

You'll help shape Peek's analytics ecosystem by building dashboards, analyzing customer behaviors, identifying friction in key flows, and experimenting with AI tools to enhance how our teams interact with data. You do not need to be an ML engineer or train models from scratch. You should, however, be comfortable using AI tools thoughtfully, evaluating their output, and helping turn promising use cases into practical workflows.

• Design, build, and maintain dashboards and analytic tools using BI platforms such as Looker, Tableau, or Power BI.
• Partner with teams across Product, Operations, Marketing, and Finance to deliver data insights that drive business decisions.
• Analyze customer and user behavior patterns within core product flows (activation, conversion, engagement, retention) to support product and business decisions.
• Surface opportunities by evaluating funnels, drop-off points, friction patterns, and adoption trends.
• Contribute to metric definition and performance tracking for new features, enhancements, and business initiatives.
• Automate recurring reporting and data workflows using SQL, DBT, and lightweight scripting (Python or Apps Script).
• Ensure data quality, consistency, and reliability across reporting pipelines.
• Translate complex data into clear, actionable insights that inform strategy and improve customer experience.

• Use modern AI tools and APIs (such as OpenAI, Claude, Gemini, or comparable platforms) to accelerate analysis, improve stakeholder self-service, and automate repeatable analytics workflows.
• Help design and evaluate practical AI-enabled internal tools, such as natural-language data exploration, automated insight summaries, data-quality checks, opportunity identification, and workflow-routing solutions.
• Partner with the Data, AI, Strategy, and Yield team to identify high-value business problems where AI can improve decision speed, reduce manual work, or uncover revenue and product opportunities.
• Measure the effectiveness of AI-enabled workflows using clear adoption, quality, efficiency, and business-impact metrics.
• Apply sound judgment around data privacy, accuracy, and human review; validate AI-generated insights before they inform decisions.

• 1–4 years of experience in Business Intelligence or Data Analytics within a SaaS or tech environment.
• Strong SQL skills and experience working with a cloud data warehouse, ideally Big Query.
• Experience building governed, self-serve reporting in Looker, Sigma, Tableau, or Power BI
• Solid understanding of data visualization, dashboard design, and storytelling principles.
• Familiarity with key product-related metrics such as activation, retention, churn, funnels, and engagement.
• Strong communication skills — able to bridge technical analysis with business context.
• Ability to turn ambiguous business questions into structured analyses, clear recommendations, and measurable next steps.

• Working knowledge of Python, R, or Google Apps Script for data manipulation and automation (a plus, not required).
• Familiarity with dbt, data modeling, testing, and metric-definition practices.
• Interest in travel tech or SaaS analytics environments.
• Comfort working in a remote-first,…