A productized analytics service that finds where users get stuck, validates why, and hands product teams prioritized fixes and experiment plans.
Added Jul 6, 2026
Product-led companies are hiring analysts, product ops, and data scientists to understand user journeys, funnel drop-off, engagement patterns, and revenue impact. The pain is not just reporting; teams need someone to connect behavioral data, qualitative feedback, and experiment design into actionable product changes. Many companies have event data and BI tools but lack a clean, repeatable operating workflow for identifying and fixing journey friction.
Offer a fixed-scope managed service that audits one critical buyer or user journey, builds a reporting-grade funnel model, identifies friction points, and validates the likely causes through session review, feedback analysis, or lightweight user research. Deliver a prioritized friction backlog, metric definitions, dashboard layer, and experiment briefs that product pods can execute. Over time, productize the repeatable parts into templates, dbt models, instrumentation checklists, and managed monthly journey reviews.
Companies are under pressure to improve activation, retention, and revenue without simply adding more features. The job signals show this capability being hired across travel, payments, AI, developer tools, marketplaces, and consumer platforms.
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Work with the portfolio lead and Product Owners to document metric definitions, user journey stages, dashboard Identify usage patterns, drop offs, friction points, bottlenecks and other journey signals that help teams understand where product experience or adoption may need attention.
User Journey Optimization: Analyze the end-to-end customer experience to identify friction points, improve engagement, and uncover revenue opportunities in partnership with Product, Data, Professional Services, and Sales teams.
User Journey Optimization: Analyze user behavior, identify engagement gaps, and implement product improvements that increase perceived user value. Session Analysis: Conduct day-to-day review of user sessions to identify friction points, drop-offs, and behavioral patterns that inform product decisions.
Product Analytics at Viator is about finding opportunities to improve customer experience, this is through many aspects but would include Funnel, Feature and Cohort Analysis. It's also about Realising those opportunities, working with the Product Pod to provide insight that drives change, either through AB Testing or Release.
Analyse website user behaviour to understand key user journeys, performance metrics, and to deliver tailored monthly performance presentations to cross-functional partners.
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