Project Controlling Data Analyst
Eatonالإمارات العربية المتحدة - Dubaiنُشرت في ١٤ سبتمبر ٢٠٢٦
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الموقع
الإمارات العربية المتحدة - Dubai
نوع العمل
من المقر
الخبرة
3-5 سنوات
الراتب
AED 18k–25k/شهريًا (تقديري)
وصف الوظيفة
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 include building reporting templates and dashboards across the project lifecycle, automating recurring reporting processes, supporting data consolidation, preparing visual performance reports on revenue, costs, margin, forecast, risks, and opportunities, aligning operational data between corporate systems such as SAP PS, BW, Oracle, and Salesforce, and documenting reporting logic and data definitions. Qualifications include a Bachelor’s degree in Data Analytics, Finance, Business Administration, Engineering, Information Systems, Computer Science, or related field, with 3 to 5 years of experience in data analysis, financial reporting, or project controlling. Strong skills in Excel, Power BI, and experience with SAP PS, Salesforce, BW, or Oracle are required, along with capability in Microsoft Copilot and AI-enabled tools.
المهارات
SAP PSSAP BWOraclePower BISalesforceExcelMicrosoft Copilot
ما لاحظه Jobze.ai
- Eaton wants strong proficiency in SAP PS and BW combined with Power BI for end-to-end project controlling and reporting.
- Expect to act as a bridge between project execution teams, finance, IT, and corporate reporting systems.
- Role includes driving digitalization, automation, and AI-enabled use cases using tools like Microsoft Copilot.
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