Responsibilities

• Marketing Analytics: Own the analytical relationship with the Marketing function: understand their priorities, anticipate their data needs, and deliver analysis that drives decisions rather than merely informing them.
• Build and maintain the core dashboards, reports, and models Marketing relies on, and take responsibility for their accuracy, freshness, and usability.
• Own the analysis behind the funnel that matters most to the business: visitor free trial paid conversion, trial nurture performance, lifecycle-stage progression, and the leading indicators that move them.
• Quantify channel and campaign performance end to end (spend, CAC, payback, pipeline contribution and retained revenue) rather than stopping at platform-reported conversions.
• Translate ambiguous business questions into clear analytical frameworks; make assumptions explicit and deliver useful outputs before perfect data is available.
• Bring cross-functional context to Marketing analysis, combining product usage, subscription revenue, and CRM data to surface insights a channel-level view would miss.
• Attribution & Measurement: Own the rebuild of marketing attribution: agree the model with Marketing and Finance, document its assumptions and known blind spots, and implement it in the warehouse so that one number is produced once and reused everywhere.
• Reconcile platform-reported numbers (ad platforms, GA4, HubSpot) against warehouse truth, and be the person who can explain — credibly and repeatedly — why they differ.
• Build the measurement approach for activity that attribution cannot see cleanly: brand, organic, partner and word-of-mouth. Incrementality and holdout testing where the spend justifies it.
• Design and analyse marketing experiments — landing pages, nurture sequences, pricing and packaging messages — including how success is defined before the test runs.

Requirements

• 4+ years’ experience in data analytics, ideally across marketing, growth or GTM
• Experience owning marketing measurement, attribution and tracking
• Strong diagnostic skills across tracking, attribution and data quality
• Hands-on use of AI/LLM tools in your analytical workflow
• Strong SQL and Python skills, including production-quality code
• Experience with GA4, GTM, CRM platforms (HubSpot preferred) and paid media data
• Experience with BI/product analytics tools such as Lightdash, Looker or Amplitude
• Ability to combine data across CRM, product, finance and marketing
• Strong communication skills with senior, non-technical stakeholders
• Experience with metric governance and resolving conflicting data

Preferred

• SaaS/B2B experience and familiarity with subscription & PLG metrics.
• Experience with product-led growth, activation and conversion analysis
• Familiarity with dbt, semantic layers and data modelling
• Experience with server-side tracking or dataLayer implementation
• Exposure to experimentation, incrementality or media-mix modelling
• Experience with embedded analytics models
• Exposure to LLMs, text-to-SQL or AI-driven data exploration
• Experience mentoring analysts or setting analytical standards

Benefits

• Health & Wellbeing Benefit Stipend
• Home Office Setup - one off £500 reimbursement, post probation
• 26 days of paid time off
• 1 additional day off for your birthday
• Service-years recognition financial reward
• Regular performance-based compensation reviews
• Growing international business with 20,000+ subscribers