The Opportunity

Tradeify is a high-growth retail prop trading firm scaling rapidly. We are moving from ad-hoc reporting to a mature, warehouse-first data strategy.

We are looking for a technical builder to own our marketing measurement foundation end-to-end. You will not just be "pulling numbers" — you will be the architect linking our digital ads, SEO, affiliate, social, email and other channels to website > platform > revenue data in BigQuery, establishing the “Single Source of Truth” that guides millions in capital allocation.

If you exist 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.

Key Responsibilities

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

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

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:

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)

Senior Marketing Data & Analytics Lead