Siemens Energy is a global leader in the energy technology space, employing close to 100,000 professionals across more than 90 countries. With a heritage that spans over 150 years, the company drives the transition to sustainable power through innovative solutions in renewable generation, grid technologies, and digital services. Its commitment to decarbonisation, digital transformation and customer‑centric innovation makes it a preferred employer for young talent seeking to work on future‑ready projects. The Logistics Data Analyst internship sits within the Digital Process Transformation unit of Siemens Energy Industrial Turbomachinery India Private Limited. The role offers a unique blend of supply‑chain exposure and data‑analytics practice, allowing interns to work alongside logistics, IT and data experts on global programmes such as TM4ALL, OneTMS, Warehouse Analytics and AI‑enabled logistics solutions. Interns will get hands‑on experience with modern data platforms, analytics tools and process‑mining techniques while contributing to real‑world business decisions. Key responsibilities include: 1. Building and maintaining Logistics KPI dashboards and management reports using Power BI. 2. Performing data modelling, cleansing and Excel‑based analysis to ensure high‑quality reporting. 3. Analyzing transport, warehouse and supply‑chain datasets to uncover trends, bottlenecks and improvement opportunities. 4. Preparing clear visualisations and reports for operational reviews and project governance. 5. Collaborating with business and IT teams to validate reporting requirements and align data definitions. 6. Supporting project tracking, status updates and documentation in the project‑management tool. 7. Assisting in the documentation of logistics data objects, business definitions and data models. 8. Maintaining logistics master data and contributing to data‑governance artefacts. 9. Contributing to the preparation of data products for business users and supporting global logistics projects such as Process Mining and AI‑driven automation. 10. Helping organise workshops, user‑acceptance testing and creating training material for end‑users. The technical stack for this internship includes Power BI, advanced Microsoft Excel, SQL, Python (basic), SAP modules (EWM, TM, S/4HANA), Snowflake, and process‑mining tools like Celonis. Familiarity with AI/ML fundamentals is a plus. Throughout the internship, interns receive mentorship from senior logistics and data professionals, gaining exposure to global supply‑chain processes and modern analytics platforms. High performers may be considered for full‑time offers, opening pathways into data‑analytics, supply‑chain, or digital transformation roles within Siemens Energy’s worldwide network. Joining Siemens Energy means working for a brand that values innovation, sustainability and diversity, offering a collaborative environment where fresh ideas are encouraged and career growth is supported.