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.

Senior Associate, Data Analyst

Project Controlling Data Analyst