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Data Analyst

Data Analyst

Havas Media Network EspañaMadrid, Comunidad de Madrid, España
Hace 17 días
Descripción del trabajo

Our vision at Havas is to make a meaningful difference to brands, businesses and people.

We power this vision through our group’s corporate strategy, Converged. Converged harnesses the power of over +23,000 people working across Havas’ media, creative, production and technology divisions, transforming how we work and deliver for clients around the world. Havas Media Network is the media, data and technology arm of the Converged strategy.

Regarding the job; As a data analyst, you provide valuable insights to the team. You are able to connect the dots from different datasets and data sources and draw conclusions based on data.

As a team member, you work closely with colleagues to create consolidated insights that, without your gap-bridging abilities, would not have been visible.

As a data professional, you are able to present the findings in a concise way and is able to keep track of client’s KPIs.

You have past experience working in analyzing data for ecommerce, marketplaces, Amazon and / or advertising departments. Big plus if you have experience with Amazon AMC.

Responsibilities

  • Collect, analyze, and interpret datasets using statistical tools and techniques.
  • Develop and implement data models to improve business performance.
  • Create visualizations, dashboards, and reports to present insights and findings to stakeholders.
  • Work with advertising and content teams to identify business needs and requirements, and provide recommendations based on data analysis.
  • Collaborate with data engineers to ensure data accuracy, automation, completeness, consistency and stay up to date.
  • Develop and maintain dashboards to support data-driven decision-making.
  • Monitor key performance indicators and provide regular reporting on business performance.
  • Stay up to date with emerging trends and technologies in data analysis.
  • Nice to have : Ability to develop and implement data models to improve business performance.

Qualifications

As a data analyst, you play a vital role in the organization by helping to uncover insights and identify trends through the use of data. You have the ability to bridge the gap between isolated data points and help unlocking insights to assist data-driven decision-making.

You are able to take complex datasets and distill them into meaningful insights that drive strategic decision-making. You have a talent for identifying patterns and trends that might otherwise go unnoticed, and your ability to interpret data in a way that is both accurate and actionable is truly remarkable.

In addition to your analytical skills, we seek a data visualization excellency. You are adept at presenting your findings in a way that is easy to understand and digest, using visualizations and KPIs to help tell the story behind the data.

What do we expect from our Data Analyst?

  • Bachelor’s degree in a relevant field, such as computer science, mathematics, statistics, or a related field.
  • 2+ years of experience in data analysis, preferably in a business environment or agency.
  • 2+ Experience working with Amazon and advertising metrics.
  • Proficiency in SQL, API’s or other programming languages used in data analysis.
  • Experience working with data visualization tools such as LookerStudio
  • Familiarity with statistical modeling, machine learning, and data mining techniques.
  • Excellent analytical and problem-solving skills.
  • Ability to work independently and in a team environment.
  • Attention to detail and accuracy.
  • Aquí, en el grupo Havas, nos enorgullecemos de estar comprometidos con la igualdad de oportunidades para todas las personas y de tener cero tolerancia con la discriminación. Somos un grupo con igualdad de oportunidades y damos la bienvenida a los solicitantes independientemente de su edad, sexo, raza, origen étnico, discapacidad y otros factores que no tienen relación con la capacidad de un individuo para realizar su trabajo.

    Debido al gran número de solicitudes recibidas, tan solo contactaremos con los candidatos / as que encajen con el perfil publicado.

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