Data Analytics Internship (m/f/d)

Who we are

Quantion is a Business Digital Transformation services company born in 2015.

We have professionals in application development, UX/UI and digital business transformation to build innovative solutions oriented to business results.

We combine our teams in cutting-edge technologies and digital deep experiences with the innovation ecosystem, to ensure that we can provide the best solution to face business challenges, from its concept to its implementation.

We are looking for a Data Analysis Intern profile to join our team. If you want to participate in one of our biggest International projects, don't hesitate to apply!

Tasks:

• Run data pulling, preparation, and exploration tasks, possibly by joining several data sources.
• Design or enhance existing dashboards in Tableau for standard or ad-hoc visualization tasks.
• Create automated reporting solutions using tools like Python or Tableau to streamline regular reporting tasks and reduce manual efforts.
• Conduct exploratory data analysis to uncover hidden patterns, correlations, and insights within the data.
• Prepare standard or ad-hoc business analyses.

• Background in Engineering, Computer Science, Statistics or related.
• Knowledge of Tableau (main) and optionally PowerBI; knowledge of Python (Apache Spark), Databricks and Azure.
• Knowledge of Google Analytics and Looker Studio for data visualization and analysis.

Apply to our offer

If you are passionate about technologies

If you define yourself as a team worker

If you want to work with a multidisciplinary and international team

If you want to be part of a company which is permanently expanding and growing

If you want to work in an international environment

Our offering:

Permanent contract

22 days of vacation

5 additional holidays for Christmas

4 additional holidays for Easter

Flexible working time

Continuous working days in summer

According with our Equality Plan at Quantion we believe in diversity and inclusion. We defend equal opportunities without discriminating based on gender, age, religion or sexual orientation or any other aspect that could be considered exclusive.