Global Media Tracking Data Manager - Puig

Puig; Barcelona; Presencial; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Learning & development

International company

Competitive compensation

Descripción de la vacante

Puig is seeking an experienced digital analytics professional to own media tracking standards across the organization. You will ensure data readiness for reporting tools like Looker and drive AI-powered insights by coordinating with global stakeholders.

The role involves defining tagging plans, coordinating deployments across websites and ad platforms, and bridging business needs with technical data models in a global environment.

Formación

• 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.).

Responsabilidades

• 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 with cross-functional teams and external partners; document frameworks and deliverables.
• Provide training and upskilling on tracking best practices across markets.

Conocimientos

Digital analytics

Tracking implementation

Media data

GA4

Tagging

Pixels

Data quality

Cross-functional collaboration

Herramientas

Looker

BigQuery

Supermetrics

Descripción del empleo

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