Intern - Logistics Data Analyst

Siemens Energy; Gurugram District; On-site; INR 167,000 - 335,000; Full time

Benefits offered by this job

Mentorship from experienced logistics

Hands-on analytics platforms

Job summary

Siemens Energy is offering an internship role in global Logistics Digitalisation and Data Analytics. You will work with Logistics, IT, and Data experts to transform logistics data into actionable insights and gain exposure to data platforms, analytics, and AI-driven initiatives.

As part of the team, you will support KPI dashboards, data preparation, and reporting, while collaborating with international teams to improve processes across transport, warehousing, and supply chain domains.

Qualifications

• Pursuing bachelor’s or master’s in CS/IT/Data Science/Analytics or related field.
• Strong analytical and problem-solving skills.
• Curiosity and eagerness to learn new technologies.
• Good communication and presentation skills.

Responsibilities

• Support the creation, enhancement, and maintenance of Logistics KPI dashboards and management reports using Power BI.
• Assist with data modelling, data preparation, Excel-based analysis, and data quality corrections to ensure reliable reporting outputs.
• Analyse transport, warehouse, and supply chain datasets to identify trends, bottlenecks, and opportunities for process improvement.
• Create clear reports and visualisations that support operational reviews, project governance, and management decision-making.
• Collaborate with business and IT teams to validate reporting requirements, align definitions, and ensure data accuracy.

Skills

Analytical thinking

Data analysis

Python

Excel advanced

SQL

Communication

Independent work

Education

Bachelor’s or Master’s in CS/IT/Data Science/Analytics or related

Tools

Power BI

SQL

SAP

Celonis

Snowflake

Job description

Job Description

A Snapshot of Your Day

As an Intern supporting global Logistics Digitalisation and Data Analytics initiatives, you will work alongside Logistics, IT, and Data experts to transform logistics data into actionable business insights. You will gain hands-on exposure to global supply chain and logistics processes, modern data platforms, analytics solutions, and AI-driven digitalisation initiatives, while contributing to global logistics programmes such as TM4ALL, OneTMS, Warehouse Analytics, Logistics Data Domain, Process Mining, and AI-enabled logistics solutions.

How You'll Make An Impact

• Support the creation, enhancement, and maintenance of Logistics KPI dashboards and management reports using Power BI.
• Assist with data modelling, data preparation, Excel-based analysis, and data quality corrections to ensure reliable reporting outputs.
• Analyse transport, warehouse, and supply chain datasets to identify trends, bottlenecks, and opportunities for process improvement.
• Create clear reports and visualisations that support operational reviews, project governance, and management decision-making.
• Collaborate with business and IT teams to validate reporting requirements, align definitions, and ensure data accuracy.
• Support project tracking, status updates, action follow-up, and documentation in the project management tool.
• Support data collection, cleansing, validation, and quality monitoring activities.
• Assist in documenting logistics data objects, business definitions, and data models.
• Help maintain logistics master data and data governance documentation.
• Contribute to the preparation of data products for business users.
• Support global logistics projects including Warehouse Analytics & Footprint Reporting, Logistics Process Mining, Transport & Warehouse Performance Analytics, AI and Digital Logistics Initiatives, and Logistics Process Automation.
• Assist project managers in tracking actions, milestones, and project documentation.
• Work with business stakeholders to understand reporting and analytics requirements.
• Support workshops, testing activities, and user acceptance testing.
• Help prepare presentations, training materials, and management reports.

What You Bring

• Currently pursuing a bachelor's or master's degree in Computer Science, Information Technology, Data Science, Business Analytics, Industrial Engineering, Supply Chain Management, or related disciplines.
• Strong analytical and problem-solving skills.
• Curiosity and eagerness to learn new technologies.
• Good communication and presentation skills.
• Ability to work independently and within international teams.
• Structured and detail-oriented working style.
• Preferred knowledge of Microsoft Excel (advanced), Power BI, SQL, Data Analytics and Reporting, Microsoft 365 Tools, and databases and data modelling.
• Python knowledge is desirable.
• Knowledge of SAP (EWM, TM, ERP, S/4HANA) is nice to have.
• Knowledge of Snowflake is nice to have.
• Knowledge of Process Mining, such as Celonis, is nice to have.
• Knowledge of AI / Machine Learning fundamentals is nice to have.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With 100,000 dedicated employees in more than 90 countries, we develop energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our distributed team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonisation, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion, and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

• Experience working on global logistics transformation programs.
• Exposure to SAP Logistics, Supply Chain, and Digitalisation projects.
• Hands-on experience with modern analytics platforms, data governance, and AI initiatives.
• Opportunity to collaborate with international business and IT experts.
• Mentorship from experienced logistics and data professionals.

https://jobs.siemens-energy.com/jobs