Supervisor Data Analytics
Pubblicato il 14-10-2026 - Vertiv in Italia
Job Description
Who are we?
At Vertiv, we’re on a mission to empower the people that will power the future. From a simple swipe to life-changing medicines, from push notifications to generative AI. We design, manufacture, and service the products and solutions that keep the world connected. With $6.9 billion in sales, a strong customer base and global reach spanning nearly 70 countries, we are uniquely positioned to deliver greater value to our customers and create new opportunities for our people.
We are currently seeking a Supervisor Data Analytics to join our dynamic team in Piove di Sacco (PD), Italy
The Data Analyst Supervisor leads a team of data analysts (on-site and globally distributed) within the Customer Insight function, reporting to the Senior Manager Marketing Data Science. This is a hands-on leadership role that combines people management, project ownership, and deep technical contribution.
The supervisor owns the full BI delivery chain, from designing and optimizing ETL pipelines in Snowflake (in partnership with IT)
through building robust Power BI data models and semantic layers, to delivering polished reports and apps to the right audiences. A critical part of the role is ensuring proper data governance: every stakeholder sees only the information they are authorized to access, based on business policies, organizational structure, and regional scope.
Beyond technical delivery, the role carries strong project management accountability: scoping, planning, and driving multiple concurrent BI initiatives from concept to production. The supervisor acts as the key bridge between the data team and the wider business, translating requirements Marketing and other functions into scalable, well-architected analytics solutions.
The ideal candidate is equally comfortable mentoring junior analysts, challenging a data model design, presenting insights to senior leadership, and building long-term strategic relationships across regions and functions to keep data s