IT Data Analitics Specialist

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.

Job Description
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 models using best practices for semantic layers.

Leverage mandatory strong SQL expertise to write complex queries, optimize performance, and ensure data accuracy across all integration layers.

Integrate data from multiple sources (databases, APIs, Snowflake, AWS data services, etc.).

Collaborate with Data Engineering teams to define and refine data structures enabling analytical consumption across both platforms.

Business Partnership

Partner with business users to understand needs, gather requirements, and translate them into technical solutions.

Provide training, guidance, and best practices for self-service reporting.

Present insights and analytical findings in clear, actionable terms to non-technical stakeholders.

Support the organization's transition from traditional BI to AI-augmented analytics, identifying use cases where AI can enhance decision-making.

Governance, Quality & Standards

Ensure adherence to data visualization standards, governance policies, and security protocols across environments.

Implement version control, documentation, and lifecycle management for analytical assets.

Proactively identify data issues and drive remediation initiatives with cross-functional teams.

Innovation & Continuous Improvement

Evaluate and introduce new features in Power BI (Fabric, DAX advancements, etc.) and AWS QuickSight (ML Insights, QuickSight Q, Generative BI capabilities).

Identify opportunities to automate manual reporting processes and leverage AI/ML for predictive and prescriptive analytics.

Drive adoption of modern, scalable analytics patterns, supporting the company's PowerBI-to-AI transformation journey.

Explore and implement generative AI capabilities within AWS QuickSight to enable natural language querying and automated insight generation for business users.

What will make you successful?

5+ years of experience in BI/report development, with proven expertise in Power BI.

Hands‐on experience with AWS QuickSight, including dashboard creation, dataset management, SPICE optimization, and analyses.

Strong hands‐on experience with Streamlit for building interactive Python-based applications.

Expert‐level knowledge of DAX, Power Query, data modeling, and visualization best practices.

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