About
Fresha is the leading AI-powered operating system for the global beauty and wellness industry, giving businesses everything they need to run smarter, grow faster and build stronger client relationships. Given our exciting growth plans, we are looking for an exceptional Senior Product Analyst to come and join our global business.
Responsibilities
•Collaborate broadly across Product, Engineering, and the wider Growth pod to align on priorities and create solutions that stick
•Bring genuine curiosity to ambiguous problems — get to what's really going on, not just what's being asked for
•Prioritise pragmatically — balancing commercial impact against effort, and staying close enough to the business to know what's actually urgent
•Pre-empt issues proactively, flagging tracking or data quality risks before they undermine a decision
•Own instrumentation and measurement of key user flows — sign-up, booking, cancellation, and partner-side workflows — across both the B2C marketplace/app and the B2B platform
•Build marketplace and consumer analytics — segmentation and strategies (including predictive models) to grow consumer value
•Drive understanding of product performance and traffic — where it comes from, how it converts, and how users behave and engage once on the platform, across both paid and organic channels
•Own the tracking implementation (tagging, event taxonomy, attribution) that makes traffic and conversion analysis trustworthy
•Develop multi-touch attribution modelling for marketing spend, running incrementality tests to validate real causal effect where it matters
•Design and run experiments (CRO and beyond) end to end — hypothesis, build, statistically rigorous read-out — across both surfaces
•Keep tracking resilient to a privacy-first landscape — server-side tracking and conversion APIs alongside standard client-side tagging
•Own marketplace KPI reporting, giving the business one reliable, trusted source for supply and demand metrics
•Write production-grade SQL and Python, and contribute analytics logic into our dbt models via GitHub rather than keeping it in personal notebooks
•Use AI-assisted development tools (Claude Code or similar) as a normal part of how you work, helping set the standard for how the pod uses AI tooling
•As scope grows, take on a widening remit — mentoring, setting standards, and building toward your next step, whether that's Principal Analyst or Analytics Manager
Requirements
•4-8 years' experience collaborating with product teams and implementing analytics strategies, ideally spanning both 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, with hands-on experience contributing to dbt models and working in GitHub-based workflows
•Practical experience with multi-touch attribution models, including an understanding of their limitations — ideally with some exposure to incrementality testing or causal inference methods
•Comfortable running and analysing experiments in a statistically rigorous way
•Fluent use of AI agents (e.g. Claude Code or similar) to support analytical workflows
•Track record of turning analysis into decisions — specific product or marketing outcomes you've shaped, not just dashboards you've built
Nice to have
•Worked in B2B SaaS or consumer marketplaces (ideally both)
•Deep experience in GTM setup and marketing conversion signals, including server-side GTM and conversion API integrations
•Exposure to Marketing Mix Modelling (MMM) as a complement to attribution
•Experience building predictive or propensity models that were adopted into a team's workflow
•Experience mentoring junior analysts or setting standards others follow
•Experience working in small teams and startup environments
Conditions
•Salary: £75,000 - £85,000 + ESOPs
