Product Data Analyst - E-Commerce & Booking Flow

We are actively interviewing for the following position so please apply now if interested.

About the Role

We are urgently seeking a Product Data Analyst for a highly visible project with a major enterprise client. This role sits directly at the intersection of product thinking and data analysis, with a narrow, critical mandate: understand and improve conversion rates through our e-commerce booking flow.

We are experiencing a high volume of user drop-off specifically around the payment/credit card stage. Your job is to know the conversion funnel better than anyone else in the room, identify exactly where and why users are dropping, and translate those insights into clear, actionable recommendations for experiments or technical fixes. We expect you to bring a strong point of view to the table, not just a dashboard.

What You'll Be Doing

• Conduct deep-dive funnel analysis to define what "healthy" looks like at each step of the booking flow.
• Track where performance deviates from the established baseline and diagnose the root cause of cart abandonment.
• Frame your data findings as testable hypotheses and scoped recommendations that product and engineering teams can immediately act upon.
• Pull and structure your own data independently, without waiting on a data engineering queue.
• Separate noise from genuine conversion problems, clearly communicating when a trend is worth investigating versus when it is just seasonal variance.
• Work in close partnership with the Product Manager to inform strategic direction, support data-driven decisions, and prioritize fixes.

What We're Looking For

• A strong professional background as either a Product Manager who transitioned into data, or a Marketing Analyst with heavy product analytics experience.
• Proven experience running true funnel analysis on an e-commerce product, going well beyond standard website traffic analysis.
• Mandatory hands-on experience and deep proficiency with Quantum Analytics and Google Analytics.
• A track record of writing formal A/B test briefs or experiment proposals.
• Genuine comfort with ambiguity and the ability to evaluate high-signal booking flows efficiently.
• A user-centric mindset—you must think in terms of user behavior, not just raw metrics.