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# Interim Fleet Data Analyst

- **Company:** siemens energy
- **Location:** Spain
- **Contract:** Contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Big Data, Data Cleansing, Data Systems, Operational Data Store, Power BI, Microsoft Copilot
- **Published:** November 13, 2026
- **Apply:** https://jobs.siemens-energy.com/en_US/jobs/Login?folderId=306453

## About the Role

* You are currently enrolled in a Bachelor's or Master's degree program in Engineering, Mathematics, Data Science, or a related technical field in Spain.
 * Familiarity with basic data processing and analytical workflows is highly valued, though no prior professional experience with Wind Turbine Generators (WTGs) is required.
 * Proficiency in data analytics and visualization tools, particularly Microsoft Power BI and advanced Microsoft Excel.
 * Experience with POLARIS Data System and data cleaning & processing techniques.
 * Strong analytical thinking, data interpretation, and attention to detail skills.

## Description

Join Siemens Energy as an Interim Fleet Data Analyst and immerse yourself in the dynamic world of wind energy! You will analyze fleet data and evaluate solution availability within the 2-5MW Onshore wind turbine platform. Imagine extracting and cleaning performance data, identifying trends, and supporting engineering teams in preparing for impactful regional product review meetings. Your analytical mindset will shine as you utilize cutting-edge tools to track and visualize fleet metrics, contributing to our mission of enhancing product performance and driving improvements.

How You'll Make an Impact

 * You will extract and clean fleet performance data from internal databases and specialized tools like POLARIS.
 * Analyze wind turbine generator (WTG) operational data to identify performance trends and solution availability.
 * Consolidate large datasets to support engineering teams in preparing for regional product review meetings.
 * Develop and maintain dynamic dashboards and reports using Power BI and Microsoft Excel.
 * Utilize AI-assisted tools like Microsoft CoPILOT to streamline reporting workflows and present structured data findings to engineers.