Data Analyst / Analytics Engineer - Internship
- Full Time
Established in 2014, Shippeo is a worldwide leader in real-time multimodal transport visibility, assisting major shippers and logistics service providers to operate more collaborative, automated, sustainable, profitable, and customer-focused supply chains.
Hundreds of customers, including global brands like Coca-Cola HBC, Carrefour, Renault Group, Schneider Electric, Total, Faurecia, Saint-Gobain and Eckes Granini, trust Shippeo to track in excess of 28 million consignments yearly across 92 countries.
Raising €110 million in funding so far, Shippeo grows at an average rate of 80% year on year. Their team of Shippians comprises 28 different nationalities, speaking a total of 24 languages.
We are seeking an Intern in Data Analytics Engineering to join our Data-as-a-Service team.
The Data-as-a-Service team is responsible for leveraging the vast amount of data that Shippeo has acquired during platform operation and deployment to multiple shippers and carriers, to extract insights from it and deliver data products falling into the following categories:
Some features the team develops and enhances are Shippeo customer-facing and internal dashboards. We're continually seeking new methods and new KPIs:
As an intern, your main responsibilities include:
Your role will involve building new tools, maintaining existing ones, and transforming the data you require, and suggesting solutions to improve data quality monitoring.
Contributing to the continuous enhancement of our existing features
The current dashboards and data features are consistently challenged by our customers. They frequently suggest enhancements to facilitate data-driven decision-making using our tools. You will be responsible for implementing new product features based on customer requirements, the specifications, and the roadmap set by our product team.
Improving the monitoring of our data pipeline and features
Data observability is a crucial aspect of data applications to maintain high-quality and clear customer-facing data. Your role will be to contribute to the monitoring and documentation of data products, by building data quality checks and data catalogues. Furthermore, you will assist in bettering our financial operations reporting. Indeed, running data pipelines and high-frequency data querying necessitates strong cost and performance supervision.
Your duties will also encompass:
Recruitment process:
1 Interview : Preliminary call
2 Interview : Technical / case study interview
We are seeking talents who share our values:
Find out more about our values in
If you identify with our values and enjoy a dynamic and international working environment, Shippeo is the perfect place for you!
We are committed to promoting diversity and inclusion within our workplace as we value the distinctive perspectives and experiences that individuals from all backgrounds bring to our team. We are committed to providing equal employment opportunities to all candidates, irrespective of their background or abilities, and our commitment to inclusion is reflected in our policies, practices, and work culture.
We understand that candidates may have unique needs or questions relating to disability inclusion. To facilitate this, you can contact our dedicated Disability Advisor at with any inquiries or requests for accommodations during the application process.