Senior Product Analyst

Peek Logo

Peek

πŸ“Remote - Worldwide

Summary

Join Peek, a leading experiences platform with over $3 billion in bookings, as a detail-oriented and collaborative Data Analyst. You will leverage your expertise in web analytics, B2B product analytics, and AI-driven data analysis to contribute to our growing business. Working across various departments, you will acquire, organize, and interpret data, deliver custom data solutions, and collaborate with engineering teams to expand our data warehouse. You will also support financial initiatives, participate in the analytics community, and explore AI tools to enhance efficiency. This role requires strong analytical and communication skills, experience with various data analytics tools, and proficiency in SQL. Peek offers a remote-first work environment and a comprehensive benefits package.

Requirements

  • You are AI-first. You use the best models and workflows to streamline your efforts
  • Analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • 2+ years of experience working deriving insight from large, semi-structured datasets as a product or data analyst in a SaaS software organization
  • 2+ years of experience writing SQL against large and complex data sets
  • 2+ years of experience working with web and mobile analytics platforms such as MixPanel, Google Analytics, Heap, Pendo, etc
  • 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
  • Strong communication and storytelling skills, with the ability to present complex analyses to non-technical stakeholders
  • Familiarity with product development life cycle and how data informs prioritization, iteration, and success measurement
  • Proven ability to manage multiple analytics projects simultaneously, prioritizing based on business impact
  • English is our business language, proficiency is required

Responsibilities

  • Acquiring, organizing, measuring, and interpreting data from primary and secondary sources to support our analytic initiatives
  • Find new product opportunities that drive business outcomes using appropriate analytic techniques
  • Delivering custom data solutions to our partners (business customers), providing them with valuable insights and actionable recommendations
  • Collaborating closely with our data and software engineering teams to drive the expansion of Peek's internal 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
  • Exploring and applying AI tools, including large language models (LLMs), to increase the efficiency of analysis, automate repetitive tasks, and improve how insights are generated and communicated

Preferred Qualifications

  • 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
  • Exposure to causal inference, time series forecasting, segmentation, or customer lifetime value modeling

Benefits

  • Full health care, dental, and vision plans
  • Paid parental leave
  • Company recharge at the end of the year
  • Competitive compensation packages that include significant equity upside that allows you to share in Peek’s long-term success

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