Internship/Graduation: Applied Analytics

Internship/Graduation: Applied Analytics at Vanderlande

Description of the assignment

The Central Data & Analytics department at Vanderlande is tasked with extending, operating and further maturing the Data Platform. We provide high-quality Data & Analytics related products and services to Vanderlande, primarily catering to internal customers, but supporting our digital service portfolio. Following a hub & spoke model, we establish centralized standards that are then adopted and implemented by decentralized teams within the business.

As a Data & Analytics intern or graduation student, you’ll work on a real-world, tailored assignment lasting 5 to 6 months. From setting requirements and goals in the beginning to presenting your results and adding business value in the end, you are actively owning your project from start to finish. This also means that you will have a lot of freedom and responsibility to monitor, shape and alter the project’s content and progress.

Whether you join us as an intern to gain work experience or to write your thesis in a non-theoretical environment, every bit of value you deliver for us is a win. We strive to find the perfect balance between your personal learning goals and our business needs, so your work creates value for both.

Department description

At the heart of our efforts lies the Data Platform, the core product we are diligently enhancing. This Azure cloud enabled platform based on the Data Mesh principle empowers us to deliver valuable Data Products by transforming, processing, combining, and enriching data from various source systems, ultimately creating a reliable source of truth for our customers. To enable efficient data analysis and visualization, we actively govern, and maintain the Vanderlande Qlik Servers and Power BI Premium capacity. In addition, we provide templates, establish a clear workflow, and foster a community of experts.

Tasks/responsibilities

You will join one of our DevOps teams and take part in the different scrum events. The teams focus on the development of Data Products related to a specific domain like the ones mentioned earlier. In our teams, a proactive and entrepreneurial spirit is highly valued.

How much you want to add in terms of actual workload to the team is up to you and will depend heavily on the specific nature of your assignment/graduation project. From our side there are close to zero expectations. What we want to offer you is a professional, high-tech and corporate environment to complete your study assignment in. We trust you will like it enough to do a lot more than that.

Your profile

Our team writes most of the code in Python and/or SQL. Any experience with these languages will allow you to participate in the actual development. If you have none, we highly advise you to train yourself via one of the several available online resources beforehand.

Furthermore, knowledge on the following will help you, but is not expected:

• Building data pipelines and managing them in a production environment.
• DevOps tooling like test automation and CI/CD.

Mandatory enrolment to a Dutch Education System & resident of The Netherlands.

On a less technical note it would be awesome (but again, not required) if:

• You have a nose for data quality issues and find joy in automating the detection and resolution of these issues.
• You find pride in developing robust, yet versatile, highly testable and deployable solutions.
• You are pro-active and on top of the latest developments in tooling and collaboration techniques like Mob Programming and Agile development.
• You spot opportunities to reduce repetitive work with automation.
• You take ownership and are a team player with good communication skills.
• You have a DevOps mindset.

On top of all that, it would be great if you had affinity/experience with:

• Cloud solutions, specifically Microsoft Azure.
• Data visualization / front-end development.

Did we mention that none of these are actual hard requirements?

Contact

For more information, contact us by e-mail: internship@vanderlande.com