Senior Growth Analyst (London)

Responsibilities

• Collaborate broadly across Performance Marketing, Brand, Product Growth CRM, and the wider Growth pod to align on priorities and create campaigns that actually move the needle
• Partner with stakeholders rather than simply service requests — help shape the questions being asked, not just answer them
• Prioritise pragmatically, balancing commercial impact against effort and campaign deadlines
• Pre-empt issues proactively — flag spend inefficiency or tracking gaps before they become a budget problem
• Own marketing performance analytics across paid search, paid social, SEO and organic channels, for both B2B and B2C, including campaign-level efficiency and budget allocation
• Own 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 maintains
• Design and run marketing experiments — messaging, creative, or lifecycle tests — with statistically rigorous read-outs
• Apply attribution modelling, incrementality testing, and Media Mix Modelling (MMM) to guide channel and budget decisions, not just measure them after the fact
• Deliver a regular trade and performance reporting cadence that turns campaign data into decision-useful insight for stakeholders
• Own budget and target tracking as marketing investment scales, flagging efficiency risks before they become budget problems

Requirements

• 4-8 years in a senior analyst role spanning marketing, CRM, or lifecycle analytics, ideally in a marketplace, subscription, or platform business
• Strong SQL and Python skills used daily for analysis, with hands-on experience contributing to dbt models and working in GitHub-based workflows
• Experience with SEO and performance marketing (paid search, paid social) and campaign performance analysis
• Experience with CRM platforms (we use HubSpot) and designing or evaluating lifecycle/triggered messaging
• Practical experience with attribution, incrementality testing, and Media Mix Modelling (MMM) — using these to inform marketing decisions, not just report on them
• Comfortable designing and reading out experiments in a statistically rigorous way
• Track record of connecting marketing activity to commercial outcomes — not just channel-level reporting
• Fluent use of AI agents (e.g. Claude Code or similar) to support analytical workflows

Preferred

• Worked in B2B SaaS or consumer marketplaces (ideally both)
• Exposure to product analytics (e.g. Amplitude or similar)
• Experience mentoring junior analysts or setting standards others follow
• Experience working in small teams and startup environments