Product Analyst
New
P
PeekSaaS Booking Platform
Location: Mexico City; Secondary Locations: Cabo San Lucas, Mexico, Monterrey, Hermosillo, Guadalajara, CancúnFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 1-2 years
- Required Skills
- SQLTableauProduct AnalyticsData visualizationSaaSLookerGenerative AI
Requirements
- 1-2 years of experience as a product or data analyst in a SaaS organization deriving insights from large, semi-structured datasets.
- 1-2 years of experience writing SQL against large and complex data sets.
- 1-2 years of experience with web and mobile analytics platforms (e.g., MixPanel, Amplitude, Google Analytics, Heap, Pendo).
- 1-2 years of experience with data analytics and visualization tools (e.g., Looker, Tableau, Google Data Studio).
- Experience working with analytical databases (e.g., Redshift, Snowflake, BigQuery) or transactional databases (e.g., Postgres, MySQL).
- Experience using generative AI or LLMs to streamline workflows and enhance reporting.
- Strong analytical skills with attention to detail and accuracy.
- Clear communication skills with the ability to explain insights to non-technical stakeholders.
- Familiarity with the product development lifecycle and data-informed decision-making.
- Ability to manage multiple tasks or projects simultaneously.
Responsibilities
- Acquire, organize, measure, and interpret data from primary and secondary sources to support analytic initiatives.
- Support the identification of product opportunities and performance trends using appropriate analytical techniques.
- Deliver custom data solutions to business partners, providing valuable insights and actionable recommendations.
- Collaborate with data and software engineering teams to support the growth and reliability of the data warehouse and data marts.
- Assist in the preparation and delivery of analytics projects to ensure high-quality and timely completion.
- Work closely with product management, marketing, and success teams to enhance revenue capabilities of the flagship SaaS platform.
- Support internal financial initiatives by providing data analysis to inform decision-making.
- Experiment with AI tools and LLMs to increase efficiency, automate tasks, and improve insight generation.
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