Global Data Analyst: Product & Media Insights

Havas Media Network España; Madrid; Presencial; EUR 42.000 - 64.000; Jornada completa

Descripción de la vacante

Havas Media Network España is seeking a Global Data Analyst to join the product and data engineering teams. You will deliver products across regions and support markets in global initiatives, enabling cross-pollination between practice and product.

You will automate tasks, translate analytics into actionable product logic, and build media budget tools using reach curves and scenario modelling while collaborating with data scientists, using AI-enabled approaches to refine features and decisions.

Formación

• 5+ years of experience in data analysis, ideally in media/advertising analytics.
• Strong understanding of media metrics, reach curves and budget optimisation.
• Hands-on experience with SQL, Python, R and BI tools.
• Independent contributor with ownership of projects and low stakeholder exposure.
• Proficiency in English is a must.

Responsabilidades

• Provide the product team with data expertise applied to data and solutions.
• Automate daily tasks with scripting languages.
• Translate complex data analysis into product logic, insights and decisions.
• Develop media budget allocation tools with reach curves and scenario modelling.
• Perform data analysis to evaluate product outputs.
• Collaborate with data scientists to frame analytical questions and validate results.
• Leverage AI-enabled tools to explore and improve product features.

Conocimientos

Data analysis

Media analytics

Independent work

Problem solving

English proficiency

Herramientas

SQL

Python

R

BI tools

Descripción del empleo

Havas Media Network España is seeking a Global Data Analyst to join the product and data engineering teams. You will deliver products across regions and support markets in global initiatives, enabling cross-pollination between practice and product.

You will automate tasks, translate analytics into actionable product logic, and build media budget tools using reach curves and scenario modelling while collaborating with data scientists, using AI-enabled approaches to refine features and decisions.