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Marketing Operations Lead
TradeifyUKRemotefull_timeVerifiedPosted 10 Aug 2026
About the role
About Tradeify
Tradeify is a fast-growing futures prop trading company. We run a performance-driven B2C growth engine across paid and organic channels and we are building additional products and sister brands. Our next phase requires a clean, trusted measurement layer so we can scale spend and channels with confidence.
Role Summary
We are hiring a hands-on Marketing Operations lead to own our tracking, marketing analytics, revenue modeling and reporting end-to-end. You will be the primary owner of the marketing data layer: from conversion tracking and tagging through to datasets and executive dashboards. You will unify performance data across paid, organic, referral, web analytics, and payment systems to produce channel-level ROI and revenue attribution we can trust. This role is high impact and will directly influence budget decisions, growth velocity, and channel allocation.
Key Responsibilities
- Own marketing measurement end-to-end, including defining and maintaining event taxonomy, UTMs, conversion definitions, and overall tagging/tracking hygiene via GTM (or equivalent).
- Manage and optimize analytics platforms such as GA4 (and its BigQuery data), Looker Studio, Hyros, Intercom, and additional measurement tools as needed.
- Implement and maintain conversion tracking across Google Ads and Meta Ads (including pixels, CAPI, deduplication, and diagnostics), and build high-quality audiences for activation and retargeting across Google, Meta, Bing, TikTok, and Twitter.
- Develop and maintain the marketing analytics foundation by modeling and preparing datasets directly in a data warehouse (BigQuery or similar), and reconciling data across GA4, Hyros, ad platforms, Intercom, and payment gateways to connect spend → conversions → revenue.
- Establish a single source of truth for core marketing KPIs (CAC, LTV, payback, ROI, funnel conversion rates) and analyze attribution models to evaluate channel performance across the full funnel.
- Build and maintain dashboards in Tableau or Power BI for ongoing performance monitoring, delivering clear, decision-ready insights across paid channels, SEO, lifecycle signals, and funnel health.
- Proactively identify anomalies, tracking breaks, and performance shifts ahead of stakeholder requests.
- Lead data quality, documentation, and governance, including automated checks for tracking integrity, documenting systems and definitions, and ensuring compliance with privacy and platform policies.
- Partner with stakeholders by translating data into actionable insights, clear narratives, and prioritized recommendations—communicating transparently, especially when performance or tracking issues arise.
Required experience and skills
- 4+ years in marketing operations, marketing analytics, growth analytics, or a similar role where you owned measurement end-to-end.
- Strong SQL skills with experience working directly in a data warehouse environment, ideally BigQuery.
- Hands-on experience with GA4, Google Tag Manager, and familiarity with analytics platforms such as Hyros or similar.
- Direct implementation experience with Google Ads conversion tracking and enhanced conversions, Meta Pixel and Meta Conversions API (including event deduplication), and audience creation and management across Google and Meta.
- Strong dashboarding experience in Tableau (preferred) or Power BI, with the ability to build dashboards independently rather than relying on BI teams.
- Demonstrated experience stitching marketing data to revenue data, including integrating payment gateway or processor data such as Stripe.
- Strong measurement rigor, including attribution fundamentals, channel-level ROI, funnel analytics, cohort analysis, and clear explanation of trade-offs.
- Operating style marked by proactive problem-solving, reliable communication, comfort with ambiguity, and the ability to thrive in a fast-paced startup environment.
Nice to have experience
- 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)
Ways of working and engagement model
- Must have overlap with North American working hours and be available for recurring meetings as needed.
- Work is h
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