FAQs
What is the main focus of the Data Analyst role at trivago?
The main focus of the Data Analyst role is to provide analytical consultancy to auction and ranking teams, aiming to improve the efficiency of trivago's two-sided marketplace.
What skills are required for this position?
Required skills include proven experience as a Data Analyst or similar role, strong analytical skills, a solid statistical background, excellent knowledge of SQL and at least one programming language (preferably R or Python), and experience with big data technologies such as Big Query.
How many years of experience are required for this job?
A minimum of 4 years' work experience as a Data Analyst or in a similar role is required.
Is a specific educational background preferred for this role?
While a bachelor's degree is typically expected, a Master’s or Ph.D. in statistics, mathematics, or related fields is preferred, along with a background in economics and econometrics.
What kind of tools will the Data Analyst be expected to use?
The Data Analyst is expected to use dashboarding tools like Tableau and Looker, as well as data orchestration tools like Airflow.
What are the opportunities for growth and development at trivago?
Trivago prioritizes employee development by offering personalized coaching, workshops, educational meetups, conferences, and free online learning courses.
Is visa and relocation support provided for new employees?
Yes, trivago provides visa support, a relocation package, and other benefits to assist newcomers relocating to Düsseldorf.
How does trivago support work-life balance?
trivago offers flexible working hours, self-determined vacation (with a minimum of 25 vacation days), and the option of working remotely for 20 days abroad.
What workplace amenities does trivago provide?
Trivago offers complimentary snacks and drinks, an on-site gym, ergonomic desks, sports classes, and a canteen where employees can share meals together.
Are there opportunities to work with non-technical stakeholders in this role?
Yes, the role involves proactively communicating conclusions and educating non-technical stakeholders in a clear and straightforward manner.