When travelers are searching for a hotel, we want the obvious choice to be trivago! Our leading metasearch engine is super fast and constantly optimized – enabling millions of travelers to compare hotel prices from hundreds of booking sites and find great deals in just a few clicks. We use cutting-edge technology, real-time auction, and machine learning techniques with petabytes of data to create an experience – time and money saved! In the lively city of Düsseldorf, we seize opportunities to learn everyday, innovate, and make an enduring mark on the travel industry. At trivago 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 unit, Data Intelligence, is at the center of all other units in the company facilitating data-driven decision making. We're looking for a Data analyst who will provide analytical consultancy to our auction and ranking teams, with the goal to improve the efficiency of our two-sided marketplace. In this role, you'll work with people of diverse skill sets, such as data analysts, data scientists, data engineers, and product owners. Your analytical insights will have a direct impact on strategic decisions about the design of our marketplace and ML algorithms, driving satisfaction of our partners and users as well as revenue growth for trivago. If you love data, a fast-paced environment, are excited to work on a high-impact product and cannot wait to shape the future of the accommodation (meta) search engine industry, this job might be a great opportunity for you!

How you’ll make an impact:

• Perform exploratory data analyses to find, quantify, and present opportunities to increase the monetization of our marketplace

• Develop, maintain, and visualize clear and actionable KPIs to monitor the health of our marketplace and the efficiency of our auction and ranking algorithms

• Translate business problems into analytical tasks and deliver actionable insights that shape our marketplace strategy and challenge the status quo

• Design, conduct, and analyze A/B tests to validate hypotheses and propose evidence-based improvements to our product managers

• Proactively share your conclusions and educate stakeholders on interpreting and analyzing results, tailoring your communication to the audience

What you'll need to thrive:

• Proven minimum of 4 years' work experience as a Data Analyst or similar role with focus on statistics, data exploration, and visualization

• Analytical skills with the ability to draw conclusions from significant amounts of data with a keen eye for detail to create actionable insights

• Solid statistical background and experience in conducting hypothesis testing and A/B analysis

• Excellent knowledge of data querying and transformation (SQL) and at least one programming language, preferably R or Python

• Experience with big data technologies such as Big Query

• Ability to prioritize effectively and work independently in a fast-paced and ever-changing environment

• Proactive communication skills for dealing with non-technical stakeholders in a clear and straightforward way

Stand out with: 

• Being comfortable using dashboarding tools like Tableau and Looker

• Experience in data orchestration tools like Airflow

• Master’s or Ph.D. in statistics, mathematics, or related fields

• Background and/or experience in economics and econometrics

• Understanding of auction theory or causal inference

Worried about missing a few requirements? Still apply, and express your motivation as you may just be the right candidate for this or other roles!

Recruiting process for this role:

• Introduction call with recruiter

• Technical interview with the team

• Collaboration interview with stakeholders from the Product team