This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves owning the marketing measurement foundation end-to-end, linking various digital channels to revenue data in BigQuery. - Own marketing measurement end-to-end - Define and maintain event taxonomy, UTMs, and conversion definitions (lead, purchase, upgrades, refunds/chargebacks where relevant) - Own tagging and tracking via Google Tag Manager - Own analytics platforms such as GA4 (and its BigQuery data), Hyros Analytics, and platforms such as Intercom - Implement and maintain Google Ads and Meta Ads conversion tracking (pixel, CAPI where applicable), deduplication, and diagnostics - Build and maintain segments for activation, retargeting, and in-platform communications - Build and maintain the marketing analytics foundation - Work directly in a data warehouse (BigQuery or similar) to model and prepare marketing datasets - Blend and reconcile data across GA4, Hyros Analytics, ad platforms, Intercom, platform analytics, and payment gateways/processors to connect traffic/spend > conversions > revenue - Establish a “Single Source of Truth” for core marketing KPIs (CAC, LTV where available, payback, channel ROI, funnel conversion rates) - Analyze various attribution models to provide insights on channel contribution from Top of Funnel to Bottom of Funnel marketing - Build and maintain Tableau and Data Studio dashboards for daily/weekly/monthly performance monitoring - Create clear, decision-ready reporting for paid, SEO, email, affiliate, social, lifecycle signals, and funnel health - Proactively surface anomalies, tracking breaks, and performance inflections (before stakeholders ask) - Implement automated checks where possible (missing UTMs, conversion drops, source/medium drift, broken tags, spend mismatches) - Document systems, definitions, and workflows so the team is not dependent on tribal knowledge - Partner with internal stakeholders to ensure measurement choices align with compliance and privacy constraints (consent, retention, platform policies) - Translate data into clear narratives and recommendations (what changed, why it matters, what to do next) - Be comfortable delivering the unvarnished truth when performance is weak or tracking is flawed Qualifications - 4+ years in marketing ops, marketing analytics, growth analytics, or a similar role where you owned marketing operations (not just created reports) - Strong SQL skills and comfort working directly in a warehouse environment (BigQuery strongly preferred) - Hands-on experience with GA4, Google Tag Manager, Tableau or Power BI (Hyros or similar analytics platform is a bonus) - Hands-on implementation experience for Google Ads conversion tracking and enhanced conversions (as applicable) - Meta Pixel + Meta Conversions API (or equivalent server-side approach) and event deduplication - Audience creation and management in Google and Meta - Strong dashboarding experience in Tableau (preferred) or Power BI - Experience stitching marketing data to revenue data: Payment gateway / processor data integration experience (example: Stripe or similar) - Strong measurement rigor: Attribution basics, channel-level ROI, funnel analytics, cohort thinking, and the ability to explain trade-offs clearly Requirements - Self-starter who proactively hunts for gaps and issues - Reliable communicator who is present and engaged - Comfortable with ambiguity, shifting priorities, and startup pace Nice to Have - Intercom data extraction and analysis (or similar customer messaging/support platforms) - Experience integrating additional sources (affiliate platforms, CRM/CDP tools, basic ETL connectors, platform APIs) - dbt, lightweight data modeling discipline, or Python for analysis and automation - Server-side GTM or broader server-side tracking approaches - Experimentation measurement (A/B testing, holdouts, incrementality thinking) - Experience in regulated categories (fintech, trading, gambling-adjacent policy environments)