Global Operations Data Analytics

At Vertiv, we design, manufacture, and service critical digital infrastructure technologies that keep the connected world running 24/7. Our portfolio spans power management, thermal management, and IT infrastructure solutions, complemented by a global network of service centers worldwide. We enable the world's vital applications — from data centers to communication networks to commercial and industrial environments — to continuously run.

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 inventory, and operational performance data across 30 manufacturing plants and 5 regions into actionable intelligence.

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

• 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

• 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

• 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

• 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
• Stakeholder Support: Effective preparation and support of Global Operations Governance Leader in running meetings and executive reviews
• Standardization: Regional data collection processes harmonized to global standards across all 5 regions

• Bachelor's Degree in Computer Science, Engineering, Data Science, Supply Chain Management, or related technical field
• Minimum 5 years' experience building data management, analytics, and reporting solutions — preferably in Supply Chain, Manufacturing Operations, Sales Operations, or Strategic Sourcing
• SQL proficiency (intermediate to advanced) for sourcing and transforming data from enterprise databases
• Microsoft Power BI expertise — building dashboards, data models, DAX measures, and Power Query transformations
• Working knowledge of Oracle ERP (order processing, inventory management, material planning modules)
• Strong communication skills with ability to translate complex data into executive-ready insights
• Ability to collaborate cross-functionally and cross-culturally across a global matrixed organization
• Self-directed with ability to manage multiple priorities and meet tight deadlines independently
• Familiarity with AI analytics 
• Experience with Smartsheet for project tracking and collaboration
• Experience in organizations with $5B revenue and 30 manufacturing sites