Senior Marketing Data & Analytics Lead

The Opportunity at Tradeify

Tradeify is a high-growth retail prop trading firm scaling rapidly. We are transitioning from ad-hoc reporting to a mature, warehouse-first data strategy. This is an exciting opportunity for a technical builder to own our marketing measurement foundation end-to-end. You will be the architect linking our digital ads, SEO, affiliate, social, email, and other channels to website, platform, and revenue data in BigQuery, establishing the “Single Source of Truth” that guides millions in capital allocation.

If you thrive at the intersection of Data Engineering (SQL, Pipelines, Warehousing) and Growth Marketing (Pixels, GTM, analytics platforms), this is your chance to build a best-in-class analytics engine from the ground up as a Senior Marketing Data & Analytics Lead.

Key Responsibilities

As a Senior Marketing Data & Analytics Lead, your responsibilities will include:

• 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 to conversions and 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.
• Reporting and dashboards (Tableau / Power BI): 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).
• Data quality, documentation, and governance: 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).
• Stakeholder partnership: 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.

Required Experience and Skills

We are looking for a Senior Marketing Data & Analytics Lead with:

• 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), and 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: You have built dashboards yourself, not only requested them from technical teams.
• 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.
• Operating style: 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).

Key skills/competency

• Marketing Analytics
• Data Warehousing
• SQL
• Google Tag Manager
• GA4
• BigQuery
• Tableau
• Attribution Modeling
• Conversion Tracking
• Data Governance