Jorge G.

About Jorge G.

I build data and analytics systems that give marketing and product teams visibility, accuracy, and confidence. I’m a Web Analytics and Data Analytics Engineer with 15+ years of experience implementing and optimizing GA4, GTM, Adobe Analytics, and Tealium for enterprise and high-growth organizations. My focus is on building reliable data architectures that turn marketing and product activity into clear, measurable business outcomes.I specialize in connecting the dots between marketing data, SQL-based modeling, and executive decision-making — designing BigQuery pipelines, cross-channel attribution models, and automated dashboards (Tableau, Power BI, Looker) that align revenue metrics with performance KPIs.My technical foundation includes Python, JavaScript, and GCP/AWS, and I’ve led large-scale analytics migrations, server-side tagging deployments, and LTV/CAC frameworks across ecommerce, subscription, and media brands. I’m particularly interested in analytics engineering roles where clean data architecture, attribution accuracy, and storytelling through dashboards are core to success.

Experience

1. Principal Data Analytics Engineer

   Quality Analytics

   Jan 2022 — Present · Las Vegas, NV, US

   Migrated 20+ brands from Universal Analytics to GA4, designing comprehensive implementation strategies and custom reporting solutions. Standardized Adobe → GA 360 migrations (including Ticketmaster properties) through centralized GTM container architecture. Expertise in change management, stakeholder management and process rollout. Engineered complex Google Tag Manager setups with server-side tagging, custom variables, and consolidated multi-brand containers. Built data architectures in BigQuery and GCP to enable automated dashboards and attribution reporting (Looker, Data Studio, Power BI). Delivered SQL-driven marketing insights on LTV, CAC, and campaign attribution, directly informing media spend and forecasting. Spearheaded internal R&D on TV attribution and predictive modeling, resulting in a proprietary analytics micro-SaaS product. Specialized in TV attribution, predictive modeling, and advanced Google Analytics and Google Tag Manager. Built a reputation for delivering high-quality analytics, securing a strong brand base and generating the foundational revenue that funded product development. Oversees key client relationships and strategic partnerships to ensure continued stability and success. Drives the high-level evolution of the company\'s proprietary analytics platform, transitioning day-to-day management to focus on strategic guidance.

Education

• UCLA

  Bachelors, Economics

  2002 — 2006