Key Responsibilities:

• Marketing AnalyticsOwn 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 & MeasurementOwn 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.