Data Visualization Consultant
Pubblicato il 15-08-2026 - Dentsu in Milano
Questa posizione è in dentsu
Il processo di selezione sarà interamente gestito dentsu.
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dentsu is a global company in media, customer experience management, and creative, helping brands drive transformation and sustainable growth. With more than 68,000 employees across 120+ countries, dentsu partners with some of the world's most innovative brands to design and deliver meaningful experiences across media, content, and commerce. At dentsu, you'll join an innovative and forward-thinking environment where creativity, data, and technology align — giving you the opportunity to make an impact for brands, people, and society while growing your career. About the Role The Data Visualization team turns massive datasets into clear, actionable, and visually compelling insights for clients and internal teams, acting as the bridge between raw numbers and strategic planning. As a Data visualization consultant, you will work in Milan mainly on data visualization projects in marketing and communication, working with Media Planners, Data Engineers,
and Clients while taking ownership of projects with an end-to-end approach across the full delivery lifecycle. Job Description: Key Responsibilities
- Interact with external and internal clients to identify their needs and translate them into effective data models, KPI frameworks, and visualization specs
- Design, develop and maintain high-impact interactive dashboards and reports using tools like Power BI, Tableau, Datorama or Looker Studio
- Work with data engineers and analysts to ensure data quality and pipeline readiness for BI consumption
- Conduct exploratory data review to surface insights and anomalies for client teams
- Present outputs to stakeholders, adapting communication to both technical and non-technical audiences
- Help final users with tools adoption and listen closely to identify new business opportunities
- Contribute to the definition and documentation of data visualization best practices and internal methodologies