Global Operations Data Analyst

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 now looking for a

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 now looking for a Global Operations Data & Analytics Specialist to join our team in Milano, Italy

The Global Operations Data & Analytics Specialist is the central data integration point that links regional teams to a unified global reporting architecture. This role enables executive decision-making by consolidating operational performance data across 30+ manufacturing plants and 5 regions into actionable intelligence.

Reporting to the VP, Global Operations Strategic Planning & Governance, this individual serves as the primary business analyst for the Global Operations team owning the data backbone that powers the Global Operations governance reporting. The role is critical to Vertiv's and the broader digitalization roadmap including AI tools deployment.

Key Responsibilities

Global Operations Scorecard & KPI Governance

Own the data integrity, accuracy, and timeliness of the Global Operations Scorecard across all metric categories:

Safety: TRR, Corrective Action Closure, Monthly Training

Quality: Customer Claims, First Pass Yield (FPY)

Delivery: OTIF-R, PDSL, RDSL

Inventory: DIO, Cycle Count Accuracy

Cost: Hourly Rate, Productivity, Efficiency

Supplier: Supplier PDSL, Supplier RDSL

Sustainability: Energy Use, Water Use, Tons of Waste

People: Salary Turnover, Time to Fill, OOE

Ensure KPIs are calculated per standardized global formulas, reported monthly (or quarterly where specified), and shared with the business in a regular, timely fashion

Drive data governance standards including master data management, data dictionary maintenance, and regional data quality audits

Develop and maintain comprehensive dashboards (Power BI) providing insights into operational performance against 2025-2027 targets

Business Analysis & Cross-Functional Support

Collaborate with Offering Management, Sales Operations, Engineering, Manufacturing, Finance, and Procurement to compile reporting that supports key global decisions

Perform data analysis: collect, analyze, and interpret data from various sources to identify trends, patterns, and opportunities for improvement in global operations

Evaluate existing business processes and recommend data-driven enhancements to improve efficiency, reduce costs, and increase productivity

Data Architecture & Continuous Improvement

Own the construction, maintenance, and governance of global operations data files and reporting infrastructure

Coordinate with IT on data integration across multiple ERP systems (Oracle) to drive integrated business planning

Support AI/ML pilot initiatives to enhance data accuracy, scenario modeling, and predictive analytics

Guide daily operations decision-makers by providing real-time, accurate information sourced from operational databases

Create an environment of continuous improvement with emphasis on personal ownership and data quality culture

Accountabilities

Accuracy: All reports from Global Operational Governance teams meet standards for accuracy, timeliness, and quality of design to drive meaningful decisions

Timeliness: Monthly scorecard published within 10 business days of period close

Governance: 100% of global KPIs calculated per standardized formulas with documented data lineage

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