20 beste Stellen als data visualization in berlin – aktuell auf Personalsuche

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Data and Analytics Working Student

Tourlane -
Berlin

Direkt bewerben

Details zur Stelle

vor 1 Tag

Qualifikationen

R
SQL
Datenvisualisierung
Python

Vollständige Stellenbeschreibung

Working Student: Data & Analytics (f/m/x)

EMBRACE THE WORLD: HOP ON YOUR NEXT ADVENTURE WITH US!

Welcome to Tourlane! We're a tech company on a mission to provide the best experience in travel.

We provide fully personalized, multi-stop trips to 50 destinations around the world and counting. With over 150,000 travellers in the DACH region, France and now US (and counting!), we're on our way to becoming the World's leading travel company.

We know that vacation time is precious. Our goal is to help customers discover the world and create lasting memories. We focus on creating tailor-made experiences for our customers because we believe life is too short for standard travel.

About the Role:

We're looking for a curious and data-driven Working Student to join our Data & Analytics team in Berlin. You'll play a hands-on role in building dashboards, supporting analyses, and helping our stakeholders make smarter, faster decisions with data. If you love turning numbers into stories, enjoy learning new tools (including AI-powered ones), and thrive in a collaborative environment—this role is for you.

What is the Role about?

Build and maintain BI dashboards in Looker, working closely with stakeholders and guided by a Senior Analyst.
Support dashboard migrations by adjusting visualizations and integrating new data sources.
Contribute to data quality assurance during larger data migrations, including building automated and reusable data checks and dbt tests.
Collaborate on ad-hoc analyses and deep dives alongside Senior Analysts to answer real business questions.
Learn to work with a modern data stack, including dbt, Looker, Snowflake and more.
Grow into a confident creator of visualizations and insights, with the opportunity to take on more complex projects across data, analytics, and AI over time.

What You Need To Be Successful:

Currently enrolled in a data or quantitative degree (e.g. data science, computer science, statistics, mathematics, or business).
Foundational programming experience with SQL, R, or Python (preferred).
Some hands-on data project experience, ideally involving analysis and communicating insights to non-technical audiences.
Curious and a fast learner, enthusiastic about technology, AI, and data.
Detail-oriented and data-literate, with a good eye for data visualization and design.
Strong communication skills — able to summarize and present information clearly, and not afraid to ask questions.
A self-starter mindset: you can figure things out independently and follow through reliably.

YOU ARE THE WORLD

1:1 mentorship from our Senior Analysts and plenty of learning potential in a modern, AI-powered data stack.
Real-world data problems with concrete results: your work will directly support how Tourlane uses data.
Flexible working setup tailored to student life, with the chance to enjoy our lively Berlin office and connect with the team in person.
We share your passion for traveling: enjoy working abroad through our program.
We support all the diverse communities that make us Tourlane: join or create your own Employee Resource Group (ERG) and connect with Tourlaneans.
Dog-friendly office: we can't wait to meet your furry friend!
A clear path to grow with the team — great working students are natural candidates to stay on after graduation.

Direkt bewerben

Erweiterte Suche

data visualization Jobs in berlin

Data and Analytics Working Student

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Lead Full Stack Developer

Power Bi Developer

Lead Credit Risk Data Scientist

Founding Product Manager

Sales Operations Manager

Project Manager, Operational Reporting & Insights

Software developer

Sales Manager, Wolt for Work

Neuroscience, HCI & Cognitive Research Lead (All Gender)

Full Stack Engineer (Geospatial)

Ich möchte aktuelle Job-E-Mails für Stellen als data visualization in berlin erhalten

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