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Peek

Booking platform and marketplace for experiences

Senior Data Analyst

Data Analysis +1Confirmed live in the last 24 hours
Full-timeMX$80k - MX$85k /moRemote

About the Job

Requirements

  • Business-level French and English proficiency is required for professional, client-facing, and cross-functional business communication.
  • Comfort working in a client-facing capacity, including presenting insights, explaining analysis, and answering business-customer questions.
  • 3–5 years of experience in business intelligence, product analytics, or data analytics.

Responsibilities

  • Design, build, and maintain dashboards, reporting, and analytical tools using BI platforms such as Looker, Sigma, Tableau, Power BI, or similar tools.
  • Partner with Product, Operations, Marketing, Finance, Customer Success, and Leadership to deliver insights supporting business decisions.
  • Analyze customer and user behavior across product flows, including activation, conversion, engagement, retention, churn, and feature adoption.
  • Identify product opportunities, funnel drop-offs, friction points, and performance trends using appropriate analytical techniques.
  • Contribute to metric definition and performance tracking for new features, enhancements, partner initiatives, and business priorities.
  • Automate recurring reporting and data workflows using SQL, dbt, and lightweight scripting such as Python, R, Google Apps Script, or similar tools.
  • Support data quality, consistency, and reliability across reporting pipelines, data marts, and dashboards.
  • Translate complex data into clear, actionable insights that improve customer experience, product decisions, and business outcomes.
  • Deliver custom data solutions and insights to business customers, including French-speaking customers where needed.
  • Present findings, recommendations, and performance trends to internal stakeholders and external customers in French and English.
  • Support customer-facing analytics conversations by explaining data clearly, answering follow-up questions, and helping partners understand opportunities.
  • Work with Customer Success, Product, Marketing, and Finance teams to enhance the revenue capabilities of Peek’s SaaS booking platform.
  • Collaborate with data and software engineering teams to support the growth, accuracy, and reliability of the data warehouse, data models, and data marts.
  • Assist in preparing and delivering analytics projects on time and to a high standard.
  • Use modern AI tools and APIs, such as OpenAI, Claude, Gemini, or comparable platforms, to accelerate analysis, automate repeatable workflows, and improve stakeholder self-service.
  • Experiment with AI-enabled analytics use cases, including natural-language data exploration, automated insight summaries, data-quality checks, opportunity identification, and workflow routing.
  • 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 adoption, quality, efficiency, and business-impact metrics.
  • Apply sound judgment around data privacy, accuracy, and human review, and validate AI-generated insights before they inform decisions.
  • Participate in the analytics community by sharing best practices, contributing to analytics forums, and staying current with analytics and AI trends.

About the Company

Peek

Booking platform and marketplace for experiences

Peek operates a platform that serves both experience providers and travelers. It offers a software suite for operators to manage payments, marketing, reporting, and reviews, and runs a marketplace where travelers can discover and book unique experiences, earning Peek a commission on each booking. Unlike single-sided platforms, Peek combines B2B tools with a consumer marketplace to streamline operator operations while curating a range of activities for customers. Its goal is to grow the ecosystem of providers and travelers and increase total bookings and commission-based revenue.

Company size
201-500
Company stage
Series D
Total funding
$189.9M
Headquarters
San Francisco, CA
Founded
2011

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