Project Controlling Data Analyst

Employer · Eaton Corporation

Business analystFinancial analystSystems analystFlexibleFull-time

Budapest

Eaton's ES EMEA SAM CORE division is currently seeking a Project Controlling Data Analyst. In this hybrid role based in Budapest, you'll collaborate with teams across EMEA, building smart reporting solutions, automating processes, and leveraging Power BI, Excel, SAP, Salesforce, Oracle, and AI to improve project performance and decision-making.

Tasks

  • Build and maintain reporting tools, templates, and dashboards to support project controlling and performance analysis.
  • Consolidate and improve project data across Excel, Power BI, Salesforce, SAP PS, BW, and Oracle.
  • Create clear insights on revenue, costs, margins, forecasts, risks, opportunities, and overall project performance.
  • Automate recurring reporting activities to reduce manual work and improve data quality and consistency.
  • Partner with Project Controllers, Project Managers, Finance, IT, and leadership to ensure reliable and aligned project data.
  • Support automation, digitalization, and AI initiatives to improve reporting efficiency and project insights.
  • Identify data gaps and inconsistencies and help enhance reporting standards, processes, and documentation.

Requirements

  • Bachelor's degree in Data Analytics, Finance, Business Administration, Engineering, Information Systems, Computer Science, or related field. A Master's degree is a plus.
  • 3--5 years of experience in data analysis, business analysis, financial reporting, project controlling, project management reporting, or a similar analytical role.
  • Experience in a project-based organization, industrial business, services business, engineering environment, or finance / controlling function is preferred.
  • Experience with SAP PS, Salesforce, BW, Oracle, or similar corporate reporting systems is preferred.
  • English language
  • Strong skills in Excel, Power BI, and reporting tool development, including dashboard design, templates, data models, and automation.

Posted Oct 22, 2026 · Updated 12 days ago · 0 views