IT Data Analytics Specialist
Pubblicato il 24-10-2026 - Vertiv in Veneto
h3Who are we? /h3pAt 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. /ppWe are currently seeking a bIT Data Analitics Specialist
- Reporting /b to join our dynamic team in Piove di Sacco (PD), Italy /ppThis role is intended for a highly skilled bSenior Analytics Report Developer /b with deep experience in Power BI, AWS QuickSight, Streamlit, strong mandatory SQL expertise, and modern data visualization practices. /ppThe 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. /ppThis 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. bThis position requires a strong blend of technical expertise, analytical thinking, data storytelling, and stakeholder management. /b /ph3What kind of work will you be doing? /h3h3Reporting Dashboard Development /h3ulliDesign, develop, and maintain advanced Power BI dashboards, reports, and datasets. /liliDesign, develop, and maintain AWS QuickSight dashboards, analyses, and datasets, leveraging the SPICE engine for high-performance analytics. /liliBuild interactive Streamlit applications to support advanced analytics and data-driven workflows.
/liliTranslate business requirements into intuitive, visually compelling, and accurate reporting solutions. /liliOptimize report performance, data models, measures, and queries for scalability and speed. /li /ulh3Data Modeling Integration /h3ulliDevelop efficient data models using best practices for semantic layers. /liliLeverage mandatory strong SQL expertise to write complex queries, optimize performance, and ensure data accuracy across all integration layers. /liliIntegrate data from multiple sources (databases, APIs, Snowflake, AWS data services, etc.). /liliCollaborate with Data Engineering teams to define and refine data structures enabling analytical consumption across both platforms. /li /ulh3Business Partnership /h3ulliPartner with business users to understand needs, gather requirements, and translate them into technical solutions. /liliProvide training, guidance, and best practices for self-service reporting. /liliPresent insights and analytical findings in clear, actionable terms to non-technical stakeholders. /liliSupport the organization's transition from traditional BI to AI-augmented analytics, identifying use cases where AI can enhance decision-making. /li /ulh3Governance, Quality Standards /h3ulliEnsure adherence to data visualization standards, governance policies, and security protocols across environments. /liliImplement version control, documentation, and lifecycle management for analytical assets.
/liliProactively identify data issues and drive remediation initiatives with cross-functional teams. /li /ulh3Innovation Continuous Improvement /h3ulliEvaluate and introduce new features in Power BI (Fabric, DAX advancements, etc.) and AWS QuickSight (ML Insights, QuickSight Q, Generative BI capabilities). /liliIdentify opportunities to automate manual reporting processes and leverage AI/ML for predictive and prescriptive analytics. /liliDrive adoption of modern, scalable analytics patterns, supporting the company's PowerBI-to-AI transformation journey. /liliExplore and implement generative AI capabilities within AWS QuickSight to enable natural language querying and automated insight generation for business users.br/ /li /ulh3What will make you successful? /h3ulli5+ years of experience in BI/report development, with proven expertise in Power BI. /liliHands-on experience with AWS QuickSight, including dashboard creation, dataset management, SPICE optimization, and analyses. /liliStrong hands-on experience with Streamlit for building interactive Python-based applications. /liliExpert-level knowledge of DAX, Power Query, data modeling, and visualization best practices. /liliStrong SQL knowledge is mandatory — the candidate must demonstrate expert-level proficiency in writing complex queries, performance tuning, and working with enterprise data warehouses (e.g., Snowflake). /liliSolid understanding of data governance, security, and report lifecycle management. /liliStrong analytical and problem-solving skills with the ability to interpret complex datasets. /liliExcellent communication skills and stakeholder management capabilities. /liliFamiliarity with cloud-based BI and AI/ML analytics platforms. /li /ulh3Nice to have: /h