1 день назад
Product Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Analyst (AI) (SaaS/Product Analytics): Analyzing product, web, financial, and partner data to improve Peek’s SaaS booking platform with an accent on SQL, experimentation, visualization, and AI-assisted analysis. Focus on identifying product opportunities, building reliable data solutions, and using LLMs to automate analysis and communicate insights to cross-functional stakeholders.
Location: Remote from Mexico City, Cabo San Lucas, Cancún, Guadalajara, Hermosillo, or Monterrey, Mexico
Company
provides an AI-powered operating system and SaaS booking platform for museums, attractions, tours, and activities.
What you will do
- Acquire, organize, measure, and interpret data from primary and secondary sources.
- Identify product opportunities and performance trends through product, web, mobile, and business analytics.
- Deliver custom data solutions and actionable recommendations to business customers.
- Collaborate with data and software engineering teams to improve the data warehouse and data marts.
- Partner with product, marketing, customer success, and finance teams to support revenue and financial decision-making.
- Experiment with AI tools and LLMs to automate repetitive analysis and improve insight generation and communication.
Requirements
- 1–2 years of experience as a product or data analyst in a SaaS software organization.
- 1–2 years of experience writing SQL against large and complex datasets.
- Experience with web and mobile analytics platforms such as Mixpanel, Amplitude, Google Analytics, Heap, or Pendo.
- Experience with data visualization tools and analytical or transactional databases.
- Ability to communicate insights clearly to non-technical stakeholders and manage multiple projects with guidance.
- Familiarity with the product development lifecycle and data-informed prioritization, iteration, and success measurement.
Nice to have
- Experience with dbt, Python, R, or machine learning libraries.
- Experience with A/B or multivariate testing.
- Experience in travel and activities, agile development teams, or building internal assistants and analytical copilots.
Culture & Benefits
- Remote-first work environment.
- Cross-functional collaboration across product, marketing, engineering, customer success, and finance.
- Participation in an internal analytics community for sharing best practices and industry developments.
- Learning-oriented environment focused on modern analytics, automation, and AI tools.
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