Product Analyst

[REDACTED] is the operating system powering the experiences industry - from museums and attractions to tours and activities. With over $7B in bookings, [REDACTED]’s AI-powered platform has helped thousands of merchants to increase revenues, save time, and deliver seamless guest experiences. Customers include [REDACTED], [REDACTED], [REDACTED], [REDACTED] & [REDACTED]. The company has raised over $150 million from institutional investors [REDACTED], [REDACTED], and [REDACTED]. Learn more at [REDACTED].

As a remote-first company recognized by [REDACTED] as one of America's Best Startup Employers and by [REDACTED] as a 2025 and 2026 Best Place to Work, we are a global team of "[REDACTED]" who "Obsess Over Our Customers," "Accomplish Big Things," "Collaborate With Purpose," and "Get Better Every Day.

The Role

[REDACTED] is seeking a curious, data-driven, and collaborative Product Analyst who can bring their experience in web analytics, B2B product analytics, as well as 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 [REDACTED]’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 [REDACTED], 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 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 [REDACTED], [REDACTED], [REDACTED], [REDACTED], [REDACTED], etc.
• 1-2 years of experience working with data analytics/visualization tools such as [REDACTED], [REDACTED], [REDACTED], etc.
• Experience working with analytical ([REDACTED], [REDACTED], [REDACTED], etc) or transactional databases ([REDACTED], [REDACTED], 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.

Nice to Haves

• Experience with data transformation tools E.g. DBT, Python or R
• Experience with Machine Learning libraries using Python
• Experience with a/b or multivariate testing
• Experience in 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

[REDACTED] is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, disability, or other legally protected status.

If you are unable to apply due to incompatible assistive technology or a disability, please contact us at [REDACTED]. We will make every effort to respond to your request for disability assistance as soon as possible.