Data Analyst, Product, BI, AI

November 15

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Peek

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Travel • Marketplace • eCommerce

Peek is a company that specializes in offering a wide range of experiences and activities for travelers and adventure seekers. Their platform allows users to discover and book various tours and activities such as snorkeling, ATV rides, kayak rentals, art experiences, food tours, and more across numerous global destinations like the Cayman Islands, Sint Maarten, San Diego, and many others. Peek also provides 'Peek Pro,' a service tailored for businesses to manage bookings. The company emphasizes user-friendly interfaces to filter by top-rated activities and provides detailed booking information to enhance the travel experience for over 25 million customers.

51 - 200 employees

Founded 2012

🏪 Marketplace

🛍️ eCommerce

💰 $80M Series C on 2021-11

📋 Description

• 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. • 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. • 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Offers Equity