product analyst growth

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

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