Company: Siemens Energy Industrial Turbomachinery India Private Limited

Responsibilities : 

• You will be responsible for analyzing global service fleet data to support strategic and operational decision-making across the compression service business
• You will work closely with leadership teams and regional sales organizations to translate data into clear, actionable insights
• You will design, build, and maintain dashboards and reports to visualize performance, trends, and opportunities across regions, products, and customers
• You will support ad-hoc and recurring analytical requests related to service strategy, fleet performance, and commercial effectiveness

How You’ll Make an Impact: 

•  Analyze large and complex service fleet datasets to uncover trends, risks, and growth opportunities for the global service organization
• Support leadership decision-making by presenting insights in a clear, structured, and business-relevant manner tailored to key stakeholders
•  Collaborate with regional teams worldwide to enable data-driven strategies and performance improvements
•  Continuously improve data quality, analytical approaches, and visualization methods to increase transparency and impact.

What You Bring:

• Bachelor’s degree or equivalent experience in engineering, data analytics, business analytics, or a related field
• Strong communication skills, with the ability to translate technical and analytical findings into clear business insights for non-technical audiences
• Solid understanding of data analysis fundamentals, with knowledge of SQL and Python
• Exposure to cloud-based data platforms such as Snowflake or similar data warehouse solutions
• Hands-on experience with data visualization and analytics tools such as Power BI, Tableau, or other comparable tools
• Business-oriented mindset with the ability to understand commercial and operational drivers, not just perform technical analysis
• Self-starter with a growth mindset, open to continuous learning and development as the role evolves
• Team player who can work effectively in a global, cross-functional environment
• Prior experience in data analysis is appreciated but not mandatory

Apply Link:  https://jobs.siemens-energy.com/en_US/Jobs/FolderDetail?folderId=287014