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Working Student - Data & Insights
ICT
💰 Salary Not shared
📊 Market 800 EUR–1,500 EUR/mo (9,600 EUR–18,000 EUR/yr)
About the Company
When travelers are searching for a hotel, we want the obvious choice to be trivago By comparing prices from major booking sites, we're making it easy for people to find hotels they want at a price they'll love. In the lively city of Düsseldorf, we seize opportunities to learn everyday, innovate, and make an enduring mark on the travel industry. A career at trivago is a journey designed for people who crave continuous development and want to thrive in a high-performing team. Here you will find those who aren't afraid of change but rather embrace it, turning every challenge into a pathway for growth. Software Development
Responsibilities
- ● When travelers are searching for a hotel, we want the obvious choice to be trivago By comparing prices from major booking sites, we're making it easy for people to find hotels they want at a price they'll love. In the lively city of Düsseldorf, we seize opportunities to learn everyday, innovate, and make an enduring mark on the travel industry. A career at trivago is a journey designed for people who crave continuous development and want to thrive in a high-performing team. Here you will find those who aren't afraid of change but rather embrace it, turning every challenge into a pathway for growth. Join trivago, work with a great team, and grow with us
- ● Our Content team brings trivago's platform to life through consolidating textual data, images and AI-generated content - from inventories data (name, addresses, reviews, descriptions), the main image and photo galleries, to destination visuals, hotel highlights, and review summaries - delivered straight to travelers as they search. As a Working Student in Data & Insights, you'll sit between data science, product, and content operations, helping our small team ship features seen by millions. You'll work closely with scientists to dig into data, partner with our product manager on analysis that shapes decisions, and coordinate with external annotators to keep our quality bar high. It's a hands-on look at how a modern AI content pipeline runs end to end, with plenty of room to learn and grow as you build real data analytics and product skills - including the chance to pick up Python and SQL along the way. trivago is a place where ambition and support go hand in hand - we hold high standards and genuinely invest in each other's growth.
- ● How you'll make an impact:
- ● Work closely with engineers, data scientists and the product managers on analysis work.
- ● Coordinate with external data annotators to perform quality checks.
- ● Support the product manager with product analysis, including competitor benchmarking and market trend tracking relevant to trivago's AI-generated content.
- ● Analyze user behavior data to surface insights that inform product and content decisions across trivago's platform.
- ● Implement models that generate data based on defined business rules to support content and product decisions.
- ● Help translate data insights into product requirements and prioritization recommendations.
- ● What you'll need to thrive:
- ● An interest in product management - comfortable translating data into clear requirements and helping shape prioritization decisions, while communicating effectively across a cross-functional team.
- ● Strong analytical skills - hands-on experience with Python and/or SQL is a plus.
- ● Currently enrolled at a German university (Immatrikulationsbescheinigung required) and able to commute to our Düsseldorf office twice a week.
- ● A genuine learning mindset - you approach challenges with curiosity, seek out feedback, and continuously look for ways to develop and grow.
- ● A performance mindset - you set ambitious goals for yourself and have the determination and resilience to follow through and achieve them.
- ● An open and curious mindset toward AI tools and automation - you actively explore how AI can enhance your work and are excited to grow alongside evolving technologies.
- ● What you will learn:
- ● How a modern AI content pipeline runs end-to-end - from data collection and annotation to production deployment.
- ● How to translate business rules into working data models that power real product decisions.
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