tradeify - Senior Marketing Measurement & Analytics Lead
Requirements
• Marketing Analytics • Growth Analytics • Marketing Operations • Marketing Measurement • Business Intelligence • Data Analytics • Strong understanding of digital marketing measurement across paid, organic, affiliate, lifecycle, and web analytics channels • Experience working with BigQuery or similar cloud data warehouse technologies • Experience defining reporting-ready datasets, business logic, and KPI frameworks • Strong understanding of: • Attribution modeling • Identity resolution • Customer journey analytics • Funnel analysis • Marketing ROI measurement • Experience partnering with engineering, product, and data teams • Ability to write analytics requirements and translate business needs into technical specifications • Experience building dashboards and reporting systems in BI tools such as Tableau, Power BI, or Looker Studio • Strong communication and stakeholder management skills • Must overlap with North American working hours (ET preferred) • Experience working with payment, subscription, ecommerce, or transaction-level data • Familiarity with experimentation frameworks, A/B testing, incrementality testing, or media mix modeling • Experience in fintech, trading, gaming, gambling-adjacent, or other performance-driven industries • Experience using AI-assisted tools for dashboard prototyping, QA automation, or analytics workflows
Responsibilities
• MARKETING MEASUREMENT & ATTRIBUTION • Own the end-to-end marketing measurement strategy across paid media, SEO, lifecycle marketing, affiliate, social, website, and revenue analytics • Define and maintain attribution models including first-touch, last-touch, multi-touch, and blended attribution • Establish source-of-truth logic for key business metrics including: • Customer Acquisition Cost (CAC) • Return on Ad Spend (ROAS) • Customer Lifetime Value (LTV) • Funnel conversion rates • Retention metrics • Payback period • Channel performance and contribution • Identify gaps in tracking, reporting, attribution, and data quality • Partner with leadership to prioritize analytics initiatives based on business impact • DATA & ANALYTICS INFRASTRUCTURE • Define analytics requirements across the marketing data lifecycle • Collaborate with data engineers and developers on: • Event tracking architecture • Attribution persistence • Identity resolution and customer stitching • Data ingestion pipelines • Reporting-ready data models • Revenue reconciliation • Validate datasets and reporting logic within BigQuery or similar cloud data warehouse environments • Ensure marketing and product data can be accurately joined across systems • EVENT TRACKING & MARKETING OPERATIONS • Own event taxonomy and tracking requirements across web, lifecycle, checkout, and product experiences • Partner with developers to ensure accurate implementation of: • Google Analytics 4 (GA4) • Google Tag Manager (GTM) • Meta Pixel and Conversions API (CAPI) • Google Ads tracking • Hyros and attribution platforms • Intercom and customer engagement tools • Maintain UTM governance and campaign naming conventions • Ensure click IDs and attribution parameters are captured and persisted correctly • DASHBOARDING & REPORTING • Build or oversee dashboards and reporting systems using: • Looker Studio • Similar BI and analytics platforms • Create reporting frameworks and executive KPI dashboards • Translate complex analytics findings into clear business insights and recommendations • Support weekly and monthly business reviews with actionable reporting narratives • DATA QUALITY & GOVERNANCE • Create QA processes for analytics implementation and reporting accuracy • Monitor tracking integrity and proactively identify anomalies or reporting discrepancies • Maintain analytics documentation and reporting standards • Ensure stakeholders understand limitations or directional nature of data when applicable
Benefits
• Join a fast-growing fintech and trading ecosystem • High-impact role with visibility across leadership, product, and marketing • Opportunity to shape the company’s long-term measurement and analytics foundation • Remote-first environment with strong ownership and autonomy • Work alongside a highly collaborative and fast-moving team
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