Internship - Data Analyst (m/f/n), Esch-sur-Alzette

Are you interested in pursuing a career in an exciting field and an innovative company? Enovos, a member of the Encevo group, is constantly on the look out for talented individuals that the group is committed to mentoring and developing in order to allow for professional and personal growth.

Working for Enovos means working for a committed and visionary employer that plays an active role in the energy transition, creating sustainable and innovative perspectives while looking after the interests of its employees and partners.

Tasks

• Support the integration of data from different sources into the central Data Platform.
• Assist in preparing, cleaning, and validating data for business and analytics purposes.
• Help maintain and monitor existing data ingestion processes and data pipelines.
• Contribute to the evolution and improvement of data pipelines based on business needs.
• Support the documentation of data sources, data flows, data models, and business rules.
• Help identify and troubleshoot data quality, consistency, or availability issues.
• Work closely with business stakeholders to understand their data needs and translate them into simple analytical solutions.
• Assist in creating or improving datasets used for reporting, dashboards, and business analysis.
• Learn and apply good practices related to data management, documentation, code quality, and data security.
• Support the automation of repetitive data processing tasks under supervision.

Profile

• You are currently studying or have recently completed studies in computer science, data analytics, engineering, mathematics or a related field.
• You have a strong interest in data analysis, data management, and data pipelines.
• You have good knowledge of Python, you are familiar with coding best practices, such as PEP 8, for clean, readable, and maintainable code and are motivated to further develop your programming skills.
• You have a good understanding of SQL and relational databases and database access management.
• Familiarity or previous hands-on exposure to cloud data services, such as Amazon S3 and Amazon Redshift, as well as knowledge of ETL/ELT concepts, data pipelines, or data visualization tools, is considered an advantage.
• You are structured, curious, and eager to learn.
• You pay attention to detail and are comfortable working with data.
• You have good communication skills and enjoy working with both technical and business teams.
• You are fluent in English. Knowledge of French or German is considered an advantage.