Project Controlling Data Analyst

Eaton; Dubai; On-site; AED 180,000 - 240,000; Full time

Job summary

Eaton in Dubai, UAE is seeking a Project Controlling Data Analyst to build and maintain reporting tools and dashboards for project data consolidation and performance analysis. You will partner with Project Controllers, Analysts, Managers, and leadership to improve reporting across Excel, Power BI, Salesforce, SAP PS, BW, and Oracle, while supporting AI initiatives.

The role focuses on data alignment across systems, continuous improvement, and clear data views to support decision-making in a

Qualifications

• Bachelor’s degree in data analytics, finance, or related field.
• 3–5 years of experience in data analysis or project reporting.
• Experience in a project-based organization, industrial or services business is preferred.
• Strong Excel, Power BI, and reporting tool development skills with dashboard design and data models.
• Experience with SAP PS, Salesforce, BW, Oracle, or similar systems is preferred.

Responsibilities

• Build, maintain, and improve reporting templates and dashboards for project controlling activities.
• Develop standard reporting formats in Excel, Power BI, Salesforce, SAP PS, BW, Oracle, and other tools.
• Automate and simplify recurring reporting processes to reduce manual workload.

Skills

Excel

Power BI

Data analysis

Financial reporting

Project controlling

AI-enabled tools

Attention to detail

Communication

Education

Bachelor’s degree in Data Analytics, Finance, Business Administration, Engineering, Information Systems, Computer Science

Tools

SAP PS

Salesforce

BW

Oracle

SQL

Job description

Job Description:

What You’ll Do

The Project Controlling Data Analyst supports the Project Services Product Line by building and maintaining reporting tools, templates, and dashboards that facilitate project data consolidation and performance analysis. As the project business grows in size and complexity, this role will act as the data and reporting partner for Project Controllers, Project Analysts, Project Managers, and leadership. It will help maintain and improve key reporting tools such as Excel project charters, Power BI, Salesforce, SAP PS, BW, and Oracle, while also supporting AI use cases to improve project management efficiency, data quality, and performance insights.

Key Responsibilities

Reporting Tool Development and Maintenance

• Build, maintain, and improve reporting templates and dashboards to support project controlling activities across the project lifecycle.
• Develop standard reporting formats in Excel, Power BI, Salesforce, SAP PS, BW, Oracle, and other relevant tools.
• Automate and simplify recurring reporting processes to reduce manual workload for Project Controllers and Project Analysts.

Support to Project Data Consolidation

• Provide structured templates and reporting frameworks to facilitate data consolidation by the Project Controlling team.
• Support Project Controllers by ensuring reporting inputs are organized, consistent, and easy to use for project reviews and business discussions.

• Identify data gaps, inconsistencies, or quality issues and highlight them to the relevant Project Controller or data owner.

Project Performance Reporting and Analysis Support

• Prepare visual reports and dashboards to support discussions on project revenue, costs, margin, forecast, risks, opportunities, and change scope.
• Support Project Controllers, Project Analysts, Project Managers, and Project Team Leaders with clear data views for decision-making.
• Contribute to project reviews, backlog reviews, forecast reviews, and leadership reporting by providing reliable reporting outputs.

Data Alignment Across Systems

• Support alignment between project operational data and corporate reporting systems such as BW, Oracle, SAP PS, Salesforce, and Power BI.
• Help investigate differences between project team data and corporate reporting figures.
• Work with Project Controllers, Finance, IT, and data owners to improve data consistency and reporting reliability.

Continuous Improvement, Automation, and AI Support

• Identify opportunities to improve reporting efficiency, standardization, and data quality across project teams.
• Support automation and AI use cases that improve project management efficiency, reporting accuracy, and performance insights.
• Document reporting logic, templates, data definitions, and tool instructions to ensure consistency and sustainability.

Unique Aspects Of The Role

• Dedicated role focused on improving reporting tools and reducing manual workload for Project Controllers and Project Analysts.
• Acts as a bridge between project execution teams, Project Controlling, Finance, IT, and corporate reporting systems.
• Supports project lifecycle discussions by providing clear, consistent, and visual performance reporting.
• Contributes to digitalization, automation, and AI use cases within project management and project controlling.

Qualifications

• Bachelor’s degree in Data Analytics, Finance, Business Administration, Engineering, Information Systems, Computer Science, or related field. A Master’s degree is a plus.

Skills

• 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.
• Strong skills in Excel, Power BI, and reporting tool development, including dashboard design, templates, data models, and automation.
• Good understanding of project data and financial indicators, including revenue, costs, margin, forecast, backlog, risks, opportunities, and change scope.
• Experience with SAP PS, Salesforce, BW, Oracle, or similar corporate reporting systems is preferred.
• Ability to improve data quality, reconcile data between systems, and document reporting logic and data definitions.
• Strong capability to use Microsoft Copilot and AI-enabled tools to improve reporting efficiency, automate recurring tasks, support data analysis, and generate project performance insights.
• Strong analytical mindset with attention to detail and ability to structure complex data clearly.
• Proactive and continuous-improvement oriented, with curiosity for digital tools, automation, and AI solutions.
• Good communication skills, able to translate data and reporting topics into clear messages for non-technical stakeholders.
• Collaborative approach with ability to work across Project Controlling, Project Management, Finance, IT, and business team
• Organized and reliable, able to manage priorities and meet reporting deadlines in a dynamic project environment.