Описание: Fresha provides an AI-powered operating system for the global beauty and wellness industry. Its platform helps businesses attract clients, manage operations, and run their businesses in one place. Задачи: Collaborate across Product, Engineering, and the Growth pod to align priorities and create lasting solutions Investigate ambiguous problems, identify underlying causes, and prioritize work based on commercial impact, effort, and business urgency Proactively flag tracking and data quality risks Own instrumentation and measurement of key user flows across the B2C marketplace and app and the B2B platform Build marketplace and consumer analytics, including segmentation and predictive strategies to grow consumer value Analyze product performance, traffic sources, conversion, and user behavior across paid and organic channels Own tracking implementation, including tagging, event taxonomy, and attribution Develop multi-touch attribution models for marketing spend and run incrementality tests to validate causal effects Design and run end-to-end experiments, including CRO, from hypothesis through implementation and statistically rigorous analysis Maintain resilient tracking using server-side tracking, conversion APIs, and client-side tagging Own marketplace KPI reporting and provide trusted supply and demand metrics Write production-grade SQL and Python and contribute analytics logic to dbt models through GitHub Use AI-assisted development tools such as Claude Code and help set the standard for AI tooling in the Growth pod Take on a growing remit, including mentoring and setting standards Требования: 4-8 Years of experience collaborating with product teams and implementing analytics strategies, ideally across consumer and B2B products Deep knowledge of event collection and instrumentation, with hands‑on experience in Amplitude or a similar product analytics platform Strong SQL and Python skills used daily for analysis Hands‑on experience contributing to dbt models and working in GitHub-based workflows Practical experience with multi-touch attribution models and their limitations Comfortable running and analyzing statistically rigorous experiments Fluent use of AI agents such as Claude Code or similar in analytical workflows Track record of turning analysis into product or marketing decisions and outcomes Будет плюсом: experience in B2B SaaS or consumer marketplaces, GTM setup and marketing conversion signals including server-side GTM and conversion API integrations, Marketing Mix Modelling (MMM), predictive or propensity models adopted into team workflows, mentoring junior analysts or setting standards, small teams and startup environments Условия: Four days in office, Wednesdays remote #J-18808-Ljbffr
product analyst growth employer: Fresha
Fresha is an exceptional employer, offering a dynamic work environment in the heart of London, where innovation meets inclusivity. With a strong focus on employee growth, Fresha provides opportunities for professional development and collaboration across diverse teams, ensuring that every voice is heard and valued. Join us to be part of a forward-thinking company that empowers you to make a meaningful impact in the beauty and wellness industry.
