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! 🎉

About the Role

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

You’ll partner closely with Product, Engineering, Operations, and Leadership to understand customer behaviors, identify friction in core product flows, evaluate new features, and shape the future of Peek’s analytics ecosystem. This role is perfect for an analyst who loves SQL, understands BI tooling, thrives on deciphering customer journeys, and is excited about how AI tools can accelerate and elevate data work. You don’t need to be an AI expert — just curious, thoughtful, and excited to experiment.

What You’ll Do

1. Business Intelligence & Reporting

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.
Automate recurring reporting and data workflows using SQL, DBT, and lightweight scripting (Python or Apps Script).
Ensure data quality, consistency, and reliability across all reporting pipelines.

2. Product Analytics & Insights

Analyze end-to-end customer journeys, funnels, drop-off points, and friction patterns to surface actionable product opportunities.
Work with PMs and Engineers to define success metrics, design A/B tests, and measure feature impact.
Evaluate product changes, including adoption patterns, retention effects, and impacts on core KPIs.
Build and monitor key product health dashboards (activation, retention, conversion, engagement).
Conduct deep-dive investigations into user behaviors to understand why customers succeed or churn.
Translate complex data into clear, actionable insights and stories that influence product strategy.

3. AI-Driven Analytics & Innovation

Experiment with AI-assisted analytics tools (e.g., OpenAI, Gemini, Claude) to streamline data exploration, automate repetitive tasks, and generate faster insights.
Identify opportunities to apply AI and automation to improve internal workflows or reporting efficiency.
Partner with senior team members on small-scale experiments involving LLMs or natural language analytics — building your skillset as you go.
Contribute to a culture of AI curiosity, responsible experimentation, and applied innovation within the analytics team.

What You Bring

2–5 years of experience in Business Intelligence, Product Analytics, or Data Analytics in a SaaS or tech environment.
Strong proficiency in SQL and comfort working with cloud data warehouses (BigQuery, Snowflake, Redshift, etc.).
Experience with BI platforms like Looker, Tableau, or Power BI.
Solid understanding of data visualization and storytelling principles.
Strong grasp of product related metrics: activation, retention, churn, funnels, cohorts, segmentation.
Working knowledge of Python, R, or Google Apps Script for data manipulation and automation (a plus, not required).
Strong communicator — able to bridge technical analysis and business context.
Eagerness to learn and experiment with AI tools and automation frameworks to enhance your work.

Nice to Have

Experience with A/B testing, product experimentation, or forecasting models.
Familiarity with DBT or other data transformation tools.
Exposure to generative AI tools like OpenAI, Claude, or Zapier AI.
Interest in travel tech or SaaS analytics environments.
Comfort working in a remote-first, fast-paced setting.

Why Peek

Peek is transforming how businesses in the experiences and activities space make data-informed decisions. We’re building a next-generation analytics ecosystem that blends business intelligence, product insights, and AI-powered analytics to shape the future of our platform. You’ll join a collaborative, curious, and forward-thinking team that values experimentation, continuous learning, and measurable impact.

If you’re excited to grow as an analyst while exploring how AI can supercharge analytics — we’d love to have you on our team.

What to expect in the interview process:

Meet with a Recruiter to discuss your background and learn more about Peek
Meet the Hiring Manager
Case Study and Panel
Meet our CMO
References and Offer

Peek Travel Inc. is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, disability, or other legally protected status.

If you are unable to apply due to incompatible assistive technology or a disability, please contact us at talent@peek.com. We will make every effort to respond to your request for disability assistance as soon as possible.

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