Global Media Tracking Data Manager - Puig

In this role, you will own the reliability, scalability, and standardization of media tracking across Puig's digital ecosystems to enable data-driven decision making and AI-powered insights. You'll work within the CRM, Consumer and Media Data & Insight Team to align tracking with global standards and data models, supporting performance measurement and optimization. This is an opportunity to shape media data foundations at scale and drive cross-functional collaboration. The role offers exposure to AI-driven transformation initiatives and global stakeholder alignment.

• learning and development opportunities
• international company with growth potential
• competitive compensation & benefits package
• Define and implement global media tracking standards across Paid, Owned, and Earned channels; establish tracking frameworks and tagging plans
• Coordinate tracking deployment across websites, ad platforms, and analytics tools; ensure data collection quality and cross-market consistency
• Bridge business needs with technical implementation; translate requirements for data ingestion and data models; ensure alignment with BigQuery data structures
• Define and enforce data quality checks, naming conventions, KPIs, and governance for media data across markets
• Support analytics and performance measurement by ensuring data readiness for reporting tools (e.g., Looker) and optimizing campaign measurement
• Coordinate tracking-related projects (including AI initiatives) with cross-functional teams and external partners; document frameworks and deliverables
• Provide training and upskilling on tracking best practices across markets
• 8+ years of experience in digital analytics, tracking implementation, or media data
• Strong experience with GA4, tagging, pixels, and related tracking tools
• Solid understanding of media ecosystems (Meta, TikTok, Google, etc.)
• Experience with data ecosystems (BigQuery, data pipelines, Supermetrics connectors)
• Experience in global environments with multiple stakeholders
• Bridge business and technical teams
• Detail-oriented with focus on data quality
• Structured and methodical problem solving
• GA4
• pixels

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