Junior data visualization
Pubblicato il 03-10-2026 - Dentsu Aegis Network in Milano
Job Description
dentsu is a global leader 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 a collaborative and forward-thinking environment where creativity, data, and technology come together — giving you the opportunity to make an impact for brands, people, and society while growing your career.
We are looking for a Junior data visualization for an internship opportunity in Milan.
Key Responsibilities
- Develop attractive and innovative dashboards, working with internal and external clients to understand and meet their needs.
- Discover and collect data from heterogeneous sources, understand its value, and map it to a target or common data model.
- Identify and define key business metrics and KPIs in partnership with business stakeholders.
- Use different technologies to turn quantitative and qualitative data into compelling, user‑centric visualizations and dashboards that support data‑driven insights and decision‑making.
- Apply best practices in data visualization design and continuously improve the user experience for business stakeholders.
- Collaborate with data engineers to produce data pipelines and automate report generation and distribution.
- Support end users with tool adoption and use active listening to identify new business opportunities.
- Apply problem‑solving and strategic thinking to meet deadlines in a fast‑paced environment.
Requirements
- Demonstrated ability to analyze data and apply quantitative reasoning.
- Basic experience with or knowledge of data visualization tools such as Tableau, Power BI, or Datorama; relevant certifications are a plus.
- Basic ability to use SQL and NoSQL databases to explore, analyze, and validate heterogeneous data sources.
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