Data Analyst – French Proficiency Required

peek; Ciudad de México; A distancia; MXN 420.000 - 720.000; Jornada completa

Descripción de la vacante

Peek is seeking a Data Analyst – Analytics, AI, and Customer Insights to transform data into actionable insights and improve business outcomes across BI, product analytics, and AI-enabled workflows.

You'll partner with multiple teams and may engage with English and French speaking customers, translating complex analyses into practical recommendations and scalable analytics solutions.

Formación

• This role requires curiosity, product-minded thinking, and being data-driven.
• Must be able to communicate clearly and translate analysis into recommendations.
• Experience designing dashboards and analytics workflows is essential.
• Fluency in English and French is required for client-facing work.
• Proficiency with BI tools and data pipelines is expected.

Responsabilidades

• Design, build, and maintain dashboards and reporting in Looker, Sigma, Tableau, Power BI, or similar.
• Collaborate with Product, Operations, Marketing, Finance, and Leadership to deliver insights.
• Analyze customer/user behavior across activation, conversion, engagement, and retention.
• Identify opportunities, funnel drop-offs, friction, and performance trends.
• Define metrics and track performance for new features and initiatives.
• Automate recurring reporting with SQL, dbt, Python, R, or Google Apps Script.
• Support data quality and reliability across pipelines and dashboards.
• Translate data into actionable insights to improve customer experience and product decisions.

Conocimientos

Data analysis

SQL

Python

R

dbt

Looker

Tableau

Power BI

Sigma

Communication

Herramientas

dbt

Looker

Sigma

Tableau

Power BI

Descripción del empleo

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 SpringCoast Partners. Learn more at www.peek.com.
As a remote-first company recognized by Forbes as one of America's Best Startup Employers and by Built In as a 2025 and 2026 Best Place to Work, we are a global team of "Peeksters" who "Obsess Over Our Customers," "Accomplish Big Things," "Collaborate With Purpose," and "Get Better Every Day.

About the Role

Peek is looking for a curious, product-minded, and data-driven Data Analyst – Analytics, AI, and Customer Insights to help turn data into meaningful insights, reporting, and business improvements.

In this role, you’ll work across business intelligence, product analytics, partner-facing analytics, and AI-enabled workflows. You’ll support internal teams across Product, Operations, Marketing, Finance, Customer Success, and Leadership, while also helping deliver insights directly to Peek’s business customers.

This is a role for someone who is comfortable working with data, communicating clearly, and translating complex analysis into practical recommendations. Because this role may involve working directly with English and French speaking customers, the ideal candidate must be fully fluent in both French and English and comfortable participating in client-facing conversations, presentations, and follow-ups.

You do not need to be a machine learning engineer or train models from scratch. You should, however, be comfortable using modern AI tools thoughtfully, evaluating their output, and helping turn promising AI use cases into practical analytics workflows.

What You’ll Do

Business Intelligence, Reporting, and Insights

• Design, build, and maintain dashboards, reporting, and analytic 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 that support business decisions.

• Analyze customer and user behavior across key 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.

Product and Partner-Facing Analytics

• Deliver custom data