Senior CRM Marketing Analyst in London

Senior Marketing Analyst, Growth (London)About FreshaFresha 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.In May 2026, Fresha secured an $80M growth investment from KKR at a valuation of $1B, officially reaching unicorn status and bringing total funding raised to $285M. Already profitable, Fresha is using this investment to accelerate global expansion and drive the next generation of AI and product innovation.Our mission is simple: help beauty and wellness businesses grow by giving them the technology they need to attract clients, manage their operations and run their business in one place.Role OverviewSenior Marketing Analyst, Growth | The Bower, 207-211, Old St, Tower, London EC1V 9NR | Four days in office, Wednesdays remoteSalary: 75,000 - 85,000 + ESOPsReporting to: Head of AnalyticsDirect reports: NAFunction: AnalyticsGiven our exciting growth plans, we are looking for an exceptional Senior Marketing Analyst to come and join our global business.Fresha sits across two distinct products — a B2C marketplace and app used by millions of consumers, and a B2B software platform used by the partners who run their business on Fresha. In this role, you'll own campaign performance and CRM/lifecycle strategy across both surfaces, turning consumer and partner segments into targeted, effective marketing as we scale investment significantly.Reporting to the Head of Analytics and working closely with our Performance and Brand Marketing, Product Growth, CRM, and Analytics teams, you'll be accountable for making marketing spend work harder and lifecycle programmes smarter — building on the tracking and segmentation foundation your Product Analyst colleague maintains.Key accountabilitiesBehaviouralCollaborate broadly across Performance Marketing, Brand, Product Growth CRM, and the wider Growth pod to align on priorities and create campaigns that actually move the needlePartner with stakeholders rather than simply service requests — help shape the questions being asked, not just answer themPrioritise pragmatically, balancing commercial impact against effort and campaign deadlinesPre-empt issues proactively — flag spend inefficiency or tracking gaps before they become a budget problemTechnicalOwn marketing performance analytics across paid search, paid social, SEO and organic channels, for both B2B and B2C, including campaign-level efficiency and budget allocationOwn CRM and lifecycle strategy — messaging, win-back, and the experiments that improve consumer and partner stickiness, building on the segmentation this pod's Product Analyst maintainsDesign and run marketing experiments — messaging, creative, or lifecycle tests — with statistically rigorous read-outsDevelop and apply attribution modelling, incrementality testing, and Media Mix Modelling (MMM) to guide channel and budget decisions, not just measure them after the factDeliver a regular trade and performance reporting cadence that turns campaign data into decision-useful insight for stakeholdersOwn budget and target tracking as marketing investment scales, flagging efficiency risks before they become budget problemsSupport automation of campaign quality control (e.g. flagging underperforming ads or keywords), catching inefficiencies faster than manual review allowsWrite production-grade SQL and Python, and contribute analytics logic into our dbt models via GitHub rather than keeping it in personal notebooksUse AI-assisted development tools (Claude Code or similar) as a normal part of how you workAs scope grows, take on a widening remit — mentoring, setting standards, and building toward your next step, whether that's Principal Analyst or Analytics ManagerSkills, experience & qualifications required4-8 years in a senior analyst role spanning marketing, CRM, or lifecycle analytics, ideally in a marketplace, subscription, or platform businessStrong SQL and Python skills used daily for analysis, with hands-on experience contributing to dbt models and working in GitHub-based workflowsExperience with SEO and performance marketing (paid search, paid social) and campaign performance analysisExperience with CRM platforms (we use HubSpot) and designing or evaluating lifecycle/triggered messagingPractical experience with attribution, incrementality testing, and Media Mix Modelling (MMM) — using these to inform marketing decisions, not just report on themComfortable designing and reading out experiments in a statistically rigorous wayTrack record of connecting marketing activity to commercial outcomes — not just channel-level reportingFluent use of AI agents (e.g. We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.