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Graduate Trainee Engineer

Siemens

Updated on: 21 February 2025

Additional Details

Website

www.siemens.com

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Work Location

Bengaluru, India

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Job Type

FTE

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Batch

2025 | 2024

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Stream Required

BE/B-TECH/BSc. – Computer Science/BCA

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Salary

5-7 LPA (Expected)

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Job Description

Hello Talented Techie!

 

We know that a business only thrives if our people are thriving. That’s why we always put our people first. Our global and diverse team would be happy to support you and challenge you to grow in many ways. Who knows where our joint journey will take you?

Siemens Global Business Services (GBS) is a Siemens Service Company that provides innovative digital solutions and customer-oriented business services. With more than 20 years of experience, Siemens GBS taps into its understanding of how organizations and businesses work to seamlessly integrate, digitalize and optimize business processes with a portfolio that covers end-to-end business needs.

We are looking for Graduate trainee engineer

 

  • Collect, clean, and manipulate large datasets to ensure accuracy and reliability.
  • Perform thorough analysis using statistical methods and data visualization techniques.
  • Identify trends, patterns, and correlations within the data to uncover insights.
  • Present the findings, or translate the data into an understandable dashboard using visualization tools (Ex: Tableau)
  • Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
  • Conduct ad hoc analysis and data mining to support specific business inquiries.
  • Monitor data quality and integrity to ensure consistency and reliability.
  • Stay up to date with industry trends and best practices in data analysis.

 

 

You’d describe yourself as:

 

  • Strong programming knowledge such as Python or SQL.
  • Proficiency in SQL for data extraction, manipulation, and querying.
  • Understanding data visualization tools such as Tableau, Power BI, or similar.
  • Knowledge of data warehousing concepts and ETL processes.
  • Strong analytical skills with the ability to interpret complex datasets.
  • Good understanding of statistical analysis and data modeling techniques.
  • Excellent attention to detail and problem-solving skills.
  • Strong communication skills with the ability to present findings effectively to non-technical stakeholders.
  • Ability to work both independently and collaboratively in a fast-paced environment.
  • BE/B.Sc. – Computer Science/BCA

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