Marketing Data Attribution Analyst

📋 Description

• • Own the end-to-end attribution framework for all paid and organic marketing channels, ensuring every dollar spent is tracked, measured, and optimized against revenue and profit targets.
• • Design and maintain multi-touch attribution models that accurately reflect the customer journey across Google Ads, Meta, TikTok, YouTube, email, SEO, and emerging channels, accounting for view-through, click-through, and offline interactions.
• • Build and automate executive-level dashboards in Looker Studio and BigQuery that surface real-time ROAS, MER, LTV/CAC ratios, and channel-level efficiency scores for budgets exceeding $300 million annually.
• • Partner with Finance and Operations to map marketing spend to Oracle NetSuite ERP data, closing the loop between ad impressions, online orders, and final delivered revenue; reconcile discrepancies and provide audit-ready documentation.
• • Lead deep-dive analyses into incrementality, geo-lift tests, and hold-out experiments to validate the true causal impact of campaigns, presenting findings to C-suite stakeholders with clear recommendations on budget re-allocation.
• • Create predictive models in Python or R that forecast weekly and monthly revenue based on planned media spend, seasonality, and macroeconomic variables, driving agile budget shifts before market conditions change.
• • Collaborate with Paid Media Managers to refine audience segmentation, creative rotation, and bidding strategies using first-party CRM data, ensuring look-alike and retargeting pools are refreshed daily for maximum efficiency.
• • Establish naming conventions, taxonomy, and governance policies for UTM parameters, custom events, and offline conversion imports, guaranteeing data integrity across Google Analytics 4, Tag Manager, and third-party MMPs.
• • Mentor junior analysts and data engineers on SQL best practices, experimental design, and storytelling with data, fostering a culture of curiosity and continuous improvement within the marketing organization.
• • Monitor privacy regulations (GDPR, CCPA, iOS ATT) and proactively adjust tracking methodologies to maintain 95 %+ data completeness while respecting user consent and platform policies.
• • Present quarterly “State of Attribution” reviews to the Board, translating complex statistical concepts into concise narratives that influence multi-million-dollar investment decisions and long-term strategic planning.
• • Identify opportunities to leverage server-side tagging, enhanced conversions, and first-party data clean rooms, keeping RestaurantSupply at the forefront of measurement innovation in the e-commerce kitchen-supply vertical.