As a Product Analyst, you'll play a key role in shaping data strategy for a fast-evolving SaaS booking platform. You'll gather and interpret data from multiple sources—web, mobile, and B2B analytics—to uncover patterns that inform product improvements and business growth.
What You’ll Do
- Analyze large, semi-structured datasets to identify trends, user behaviors, and opportunities for product enhancement.
- Build and maintain dashboards and reports using analytics and visualization tools to deliver actionable insights to stakeholders.
- Collaborate with product, marketing, and engineering teams to define success metrics and measure product performance.
- Support data infrastructure initiatives by working with engineering to ensure data accuracy, accessibility, and scalability.
- Use SQL to query and manipulate data across cloud data warehouses such as Redshift, Snowflake, or BigQuery.
- Partner with finance to provide analysis that supports budgeting, forecasting, and strategic planning.
- Experiment with generative AI and large language models to automate reporting, surface insights, and improve internal workflows.
- Share knowledge and best practices within the analytics community to elevate data literacy across the organization.
What We’re Looking For
You’re comfortable working with complex data and translating it into meaningful recommendations. You have hands-on experience with analytics platforms and databases, and you’re eager to explore how AI can enhance traditional analysis. You communicate clearly across technical and non-technical teams and thrive in a remote-first environment where continuous learning is encouraged.
- 1–2 years of experience as a Product Analyst or Data Analyst in a SaaS environment
- Proficiency in SQL and experience querying large datasets
- Experience with web and product analytics tools such as Mixpanel, Amplitude, or Google Analytics
- Familiarity with data visualization platforms like Looker, Tableau, or Google Data Studio
- Hands-on experience with data warehouses (Redshift, Snowflake, BigQuery) or transactional databases (Postgres, MySQL)
- Experience using AI or LLMs to support data analysis and reporting
- Strong communication skills with the ability to present findings to diverse audiences
- Understanding of the product development lifecycle and data’s role in decision-making
- Ability to manage multiple priorities with guidance from leadership
Nice-to-Have
- Experience with data transformation tools like DBT, Python, or R
- Background in A/B or multivariate testing
- Exposure to machine learning libraries in Python
- Experience building internal AI assistants or analytical copilots
- Familiarity with agile development environments
- Knowledge of the travel and activities industry
