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AI Summary

The intern will support data analytics, reporting, and data engineering initiatives by maintaining data pipelines and workflows. They will also collaborate with cross-functional teams to analyze datasets, ensure data quality, and create actionable business insights.

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description

Your Role:

We are seeking a highly motivated Data Intern to support data analytics, reporting, and data engineering initiatives across the organization. This role offers hands-on experience working with data pipelines, data quality processes, dashboards, and business insights while collaborating with technical and business stakeholders.

  • Support data collection, cleansing, transformation, and validation activities.
  • Assist in developing and maintaining data pipelines and workflows.
  • Create and update reports, dashboards, and performance metrics.
  • Analyze datasets to identify trends, patterns, and actionable insights.
  • Support data quality and governance initiatives to ensure data accuracy and consistency.
  • Collaborate with cross-functional teams to understand business requirements and reporting needs.
  • Document data processes, data definitions, and technical specifications.
  • Assist in troubleshooting data issues and performing root cause analysis. 

Your Profile:

  • Student in the final semesters of Systems Engineering, Data Science, Statistics, Industrial Engineering, or related fields.
  • Strong analytical and problem-solving skills.
  • Advanced English communication skills (written and verbal).
  • Basic knowledge of SQL and relational databases.
  • Familiarity with data analysis concepts and reporting.
  • Proficiency in Microsoft Excel. 

Preferred Qualifications:

  • Exposure to Python, R, or another programming language for data analysis.
  • Familiarity with BI and visualization tools such as Power BI, Tableau, or Looker.
  • Understanding data modeling, ETL processes, and data warehousing concepts.
  • Experience working with cloud-based data platforms is a plus. 

#LI-DC10

#LI-Remote

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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