IT Data Analytics Specialist
Pubblicato il 01-10-2026 - Altro in Tognana
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 IT Data Analitics Specialist - Reporting to join our dynamic team in Piove di Sacco (PD), Italy
This role is intended for a highly skilled Senior Analytics & Report Developer with deep experience in Power BI, AWS QuickSight, Streamlit, strong mandatory SQL expertise, and modern data visualization practices.
The ideal candidate will play a critical role in designing, developing, and optimizing analytical dashboards, interactive applications, and data products that support business decision-making across the organization.
This role is central to our strategic journey from Power BI to AI-driven analytics, enabling broader Analytics capabilities alongside Power BI expertise for our relevant business use cases. This position requires a strong blend of technical expertise, analytical thinking, data storytelling, and stakeholder management.
What kind of work will you be doing? Reporting & Dashboard Development Design, develop, and maintain advanced Power BI dashboards, reports, and datasets.
Design, develop, and maintain AWS QuickSight dashboards, analyses, and datasets, leveraging the SPICE engine for high-performance analytics.
Build interactive Streamlit applications to support advanced analytics and data-driven workflows.
Translate business requirements into intuitive, visually compelling, and accurate reporting solutions.
Optimize report performance, data models, measures, and queries for scalability and speed.
Data Modeling & Integration Develop efficient data m