INTERNSHIP DETAILS

Junior data visualization

Companydentsu
LocationMilan
Work ModeOn Site
PostedSeptember 3, 2026
Internship Information
Core Responsibilities
You will develop innovative dashboards and map heterogeneous data sources to common models to support business decision-making. Additionally, you will collaborate with data engineers to automate reporting and assist users with tool adoption.
Internship Type
full time
Company Size
5526
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Merkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle’s expertise has earned recognition as a “Leader” by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operates in 30+ countries throughout the Americas, EMEA, and APAC.
About the Role
Merkle, a dentsu tech agency, is a leading data-driven customer experience management (CXM) company that specializes in the delivery of unique, personalized customer experiences across platforms and devices, such as one of the two leading Company in the last Forrester Wawe in CXM Area.

We have an internship opportunity in Data Visualization team for our office in Milan.

Job Description:

Key responsibilities: as a member of the Data Visualization Team you will be trained to:

  • develop attractive and innovative dashboards interacting with external and internal clients to satisfy their needs
  • discover and collect data from heterogeneous data sources, understanding their value and map them to the target/common data model
  • identify & define key business metrics and KPIs in partnership with business stakeholders
  • use different technologies to transform data sets, quantitative and qualitative analysis into compelling user-centric visuals & dashboards that empower data driven insights & decision-making capability
  • apply best practices in data visualization design & continuously improve upon intuitive user experience for business stakeholders.
  • work with data engineers to productionize data pipelines and automate reports generation & distribution
  • help final users with tools adoption and active listening to identify new business opportunities
  • use problem solving and strategic thinking to meet deadlines in a fast-paced environment

Qualifications:

  • Data-oriented personality and quantitative thinking
  • Basic experience and/or knowledge of Data Visualization tools (Tableau, Power BI, Datorama), certification is a plus
  • Basic ability to use SQL and other Database (NO-SQL) to explore, analyze and validate heterogeneous data sources
  • Basic knowledge of data warehousing concepts (ETL, Stage/Core layer, Dimensional Modelling, Data Marts etc.) and SQL programming
  • Interest in UX design, such as layout, typography, color, interaction design using Creative thinking
  • Passionate for learning and willingness to adopt and share new ideas
  • Self-motivation, proactivity, and ability to work independently adopting problem-solving skills
  • Excellent communication and interpersonal skills
  • Fluent English, written and spoken;

 

Plus

  • Interest in areas of Digital Marketing (AdTech, MarTech), Marketing Automation, CRM or e-commerce
  • Knowledge of scripting languages (R and Python) and ETL process, data modeling techniques & big data platforms (Hadoop, Spark, GCP, etc)

Location:

Milan

Brand:

Merkle

Time Type:

Full time

Contract Type:

Student/Intern (Fixed Term) (tempo determinato)
Key Skills
Data VisualizationTableauPower BIDatoramaSQLData WarehousingETLDimensional ModellingUX DesignData AnalysisQuantitative ThinkingCommunicationProblem SolvingPythonR
Categories
Data & AnalyticsTechnologyMarketingSoftwareConsulting