Product Analyst
New
P
PeekSaaS Booking Platform
MexicoFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 1-2 years
- Required Skills
- SQLGoogle AnalyticsTableauLookerGenerative AI
Requirements
- A learning mindset with interest in using modern analytics, automation, and AI tools to work more efficiently.
- Analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- 1-2 years of experience working deriving insight from large, semi-structured datasets as a product or data analyst in a SaaS software organization.
- 1-2 years of experience writing SQL against large and complex data sets.
- 1-2 years of experience working with web and mobile analytics platforms such as MixPanel, Amplitude, Google Analytics, Heap, Pendo, etc.
- 1-2 years of experience working with data analytics/visualization tools such as Looker, Tableau, Google Data Studio, etc.
- Experience working with analytical (Redshift, Snowflake, BigQuery, etc) or transactional databases (Postgres, MySQL, etc).
- Experience using generative AI or LLMs to streamline workflows, surface insights faster, or enhance internal reporting and decision-making.
- Clear communication skills and the ability to explain insights to non-technical stakeholders.
- Familiarity with product development life cycle and how data informs prioritization, iteration, and success measurement.
- Ability to manage multiple tasks or projects simultaneously with guidance and clear priorities from leadership.
Responsibilities
- Acquiring, organizing, measuring, and interpreting data from primary and secondary sources to support our analytic initiatives.
- Supporting the identification of product opportunities and performance trends using appropriate analytical techniques.
- Delivering custom data solutions to our partners (business customers), providing them with valuable insights and actionable recommendations.
- Collaborating with data and software engineering teams to support the growth and reliability of Peek’s data warehouse and data marts.
- Assisting in the preparation and delivery of analytics projects, ensuring high-quality and timely completion.
- Working closely with our product management, marketing and success teams to enhance the revenue capabilities of our flagship SaaS booking platform, leveraging data-driven insights.
- Supporting internal financial initiatives by collaborating with our finance department, providing data analysis to inform financial decision-making.
- Actively participating in the analytics community at Peek, sharing best practices, contributing to analytics forums, and staying up to date with industry trends and advancements.
- Experimenting with AI tools, including large language models (LLMs), to increase the efficiency of analysis, automate repetitive tasks, and improve how insights are generated and communicated.
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