Job Description
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!
Decisions at trivago are driven by data. With data, you can make reasoned decisions and drive positive company outcomes. Our Data Intelligence unit is at the center of all other units in the company facilitating data-driven decision making. As a Data Analyst in our Product Intelligence team, you'll have the opportunity to work with some of the richest datasets from the travel industry, drawing conclusions from A/B tests to take our product to the next level. Whether it's exploratory analysis, or evaluating feature tests, your results will empower our product teams to enhance the user experience.
If data-driven product development excites you and you're looking for a role where your insights will matter, we want to hear from you.
- Analyze and interpret user behavior to uncover insights that will inform key business decisions
- Provide analytical consultation on product testing – from test set up, to logging specification – to product teams
- Monitor data regularly to spot trends, find anomalies, and analyze active A/B tests to elevate our product
- Be responsible for your KPIs, from definition and data processing, to reporting and visualization
- Proactively communicate and share your conclusions and educate on interpreting and analyzing results tailored to the audience
- Deliver datasets to build data-driven product features
- Work closely with product teams to find, define, and validate business opportunities and user problems worth solving
- Proven minimum 6 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 in order to create actionable insights
- Solid knowledge and practical experience in A/B testing
- a good understanding of data analysis and statistical concepts with experience in applying them
- Excellent knowledge of data querying and transformation (SQL) and at least one programming language, preferable R or Python
- Experience with big data technologies such as Hadoop or 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:
- Experience in data orchestration tools like Oozie or Airflow
- Relevant working experience as a Product Analyst
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
- Case Study
- Technical Interview with the team
- Interview with Stakeholders
- Interview with Stakeholders and Leads
As you grow, so do we.
This is why at trivago, we prioritize your development, offer personalized coaching through Likeminded, and provide workshops, educational meetups, conferences, free online learning courses, and access to a fully-equipped campus library.
Moving to join us?
No problem. You can count on the visa support from our talent support team, a relocation package, interest-free newcomer loan, free language classes, regular team and company-wide events to build experiences together.
Life happens.
We offer self-determined vacation (with a minimum of 25 vacation days), flexible working hours, 2 WFH days weekly, the chance to work remotely for 20 days abroad, free access to the Heynanny platform for personalized nanny assistance, and an on-campus kids room.
Enjoy your office days.
Use your daily canteen budget to share lunch with colleagues in our canteen, help yourself to complimentary snacks and drinks in our kitchens, stay healthy with our on-site gym and sports classes, and enjoy the comfort of ergonomic desks and focused work areas.
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