Product Analyst

Peek is seeking a curious, data-driven, and collaborative Product Analyst who can bring their experience in web analytics, B2B product analytics, and AI-driven data analysis to contribute to our growing business’ success.

This person should possess the ability to analyze and interpret data, present findings to stakeholders, and contribute to data-driven decision-making. You’ll work closely with teammates across product, marketing, engineering, customer success, and finance to support analytics initiatives and help turn data into actionable insights. You’ll contribute to analyses cross-functionally, while continuing to develop your technical and business acumen.

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.

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 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 datasets.
• 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) or transactional databases (Postgres, MySQL).
• 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 lifecycle and how data informs prioritization, iteration, and success measurement.
• Ability to manage multiple tasks or projects simultaneously with guidance and clear priorities from leadership.

Nice to Haves

• Experience with data transformation tools such as DBT, Python, or R.
• Experience with Machine Learning libraries using Python.
• Experience with A/B or multivariate testing.
• Experience in the travel and activity space is helpful but not required.
• Experience working within agile development teams.
• Experience building internal assistants or analytical copilots is a strong plus.