Product Analyst

Description

Are you ready to work on a B2C product with impressive global scale? Do you thrive on uncovering user behavior patterns and helping shape product decisions that impact millions of travelers? If yes, then Bookaway is the right place for you.

We’re looking for a curious and proactive Product Analyst with strong analytical and technical skills. Someone who loves digging into user-level data, analyzing funnels and experiments, and turning insights into product improvements. The ideal candidate has an appetite for problem-solving, collaborates closely with product managers and developers, and influences decision-making with data-driven recommendations.

We move quickly, we’re agile and dynamic, and we work in a fun and challenging environment.

In This Position, You Will:

• Partner closely with product managers, designers, and developers to evaluate product performance and guide decisions with data
• Design, run, and analyze A/B tests and experiments to measure impact on user behavior
• Analyze user-level funnels and journeys to uncover friction points and opportunities for growth
• Build and maintain informative, actionable dashboards and reports for monitoring product KPIs and enabling self-serve analytics
• Provide methodologies and frameworks to accurately measure product performance, feature adoption, and long-term user retention
• Write advanced SQL queries and leverage Python or statistical tools for deep-dive analyses
• Proactively surface insights and hypotheses that can inspire new product initiatives.

Requirements

• 4+ years of experience as an analyst in a tech company
• Strong expertise in SQL and experience with data warehouses and cloud systems
• Hands-on experience with A/B testing methodologies and funnel analysis
• Knowledge of Python for data preparation, statistical testing, and modeling
• Strong analytical and statistical skills with a hypothesis-driven mindset
• Experience with BI tools (Looker, Tableau, or BI-as-code tools)
• Excellent communication and collaboration skills, with the ability to translate data into actionable insights for both technical and non-technical teams
• Curiosity, problem-solving appetite, and ability to thrive in a fast-paced, dynamic startup environment
• Exposure to automation of analytics tasks with AI tools

Nice-To-Have:

• Experience in e-commerce, travel, or other high-volume consumer products.
• Background in Data Modeling, Information Systems, or Computer Science.