Global Data Analyst - Product Development

Havas Media Group Spain; Madrid; Presencial; EUR 45.000 - 85.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company as a key member of the Global Product team, where you will lead the development of innovative media planning and budget optimization solutions. This role is pivotal in driving the creation and evolution of global products that align with organizational goals. You will leverage your analytical and technical skills to design effective models and ensure user adoption across a diverse global network. If you have a passion for data and a deep understanding of the media landscape, this is an exciting opportunity to make a significant impact in a dynamic environment.

Formación

• 6+ years of experience in media data analysis and product development.
• Strong analytical mindset with proficiency in Python and R for data modeling.

Responsabilidades

• Lead development of media planning and budget optimization data products.
• Design and develop models to maximize user adoption across the global network.

Conocimientos

Data Analytics

Data Visualization

SQL

Python

R

Data Management

Microsoft Access

Tableau

Data Mining

Analytical Skills

Herramientas

Google Cloud Platform

MS Office

Power BI

SAS

Descripción del empleo

As a key member of the Global Product team, you will lead the development and management of media planning and budget optimization data products for our Converged platform. Your role involves driving the creation, evolution, and adoption of these global products.

You will support various Product Owners and market champions by designing and developing media planning and budget optimization models and solutions, including reach and cost modeling. Your efforts will ensure these solutions align with organizational goals and maximize user adoption across the global network.

Mission & Responsibilities

1. General Experience: 6 years of professional experience within the media industry, ideally within data analysis or product development related to budget optimization and/or media planning.
2. Media Knowledge: Deep understanding of the media landscape, key players, and industry trends. Knowledge of media planning touchpoints is critical.
3. Analytical & Technical Skills: Strong analytical mindset with understanding of mathematics and probability, applying these to media-specific models like reach curves and budget optimization.
4. Programming Knowledge: Proficiency in Python and/or R, or similar languages like SAS or Matlab, to support data analysis and modeling.
5. Insights Background: Experience in extracting actionable insights from data to influence decisions and strategies.
6. Cloud Platform Knowledge: Good understanding of cloud platforms, especially Google Cloud Platform (GCP).
7. Personal Skills: Proactive, resourceful, innovative, focused, and capable of breaking down complex problems into actionable steps.

Previous Experience & Industry Background

1. 6 years supporting media data and digital transformation projects.
2. Proven success in leading large-scale, technology-driven change initiatives.
3. Experience within the media industry.
4. Ability to lead complex initiatives and perform tasks independently.
5. Strong communication skills for stakeholder engagement at all levels.

Team / Line Management

Ability to work in multicultural, multinational environments with sensitivity to cultural communication styles.

Strong analytical and problem-solving skills to address change-related challenges.

Proficiency in MS Office tools.

Interpersonal skills such as creativity and curiosity.

Familiarity with digital marketing channels and planning strategies.

Contract Type: Permanent

We are committed to equal opportunities and do not discriminate based on age, sex, race, ethnicity, disability, or other factors unrelated to job performance.

Required Experience: Executive level

Key Skills: Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics