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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)