At trivago, we believe that finding the perfect hotel can be simpler and more convenient. Our leading metasearch engine is super fast and constantly optimized - enabling millions of travelers to easily search for hotels across several booking sites and find the best deals. Complemented by cutting-edge technology, real-time auction, and machine learning techniques, we use petabytes of data to create an exceptional user experience, delivering attractive hotel deals in one search. This experience is only made possible, thanks to our skilled talents united in our campus in Düsseldorf, Germany and working to shape the future of travel.
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 this unit, you will work on company-level projects with people of diverse skill sets, such as product owners, data scientists, and data engineers to ensure high quality analytical consultancy. If you love data, a fast-paced environment, and are excited to work on a high-impact product like our hotel metasearch, then this job might be a great opportunity for you!
- Shape the data vision of selected company level projects
- Collect and translate business problems across different teams to data requirements
- Collaborate with cross functional teams to find, define, and validate business opportunities and problems worth solving
- Provide high quality analytical support by enabling reporting & meta-analysis
- Develop, maintain, and visualize clear and actionable KPIs to stay on top of performance and uncover potential optimizations
- Monitor data regularly to spot trends and find anomalies that can create business value
- Proactively keep the team and stakeholders from diverse background informed to ensure a high level of transparency and clear outcomes
- Be responsible for project KPIs, from definition and data processing, to reporting and visualization
- Proven minimum of 4 years' work experience as a Data Analyst or similar role with focus on statistics, data exploration, and visualization
- Ability to break down complex projects into clear well-defined set of needed actions
- Ability to prioritize work effectively in a fast-paced and ever-changing environment
- Good knowledge of SQL and at least one programming language, preferable R or Python
- Experience with big data technologies such as Hadoop or BigQuery
- Good communication skills for dealing with non-technical stakeholders in a clear and straightforward way
- Solid written and verbal English communication skills
- Knowledge and usage of dashboarding tools like Tableau and Looker
- Ability to build pipelines
- Experience coordinating software projects based on a variety of technologies
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!
- Enjoy flexible working hours and the generous time-off option offered through our self-determined vacation policy
- Savor your meals with a daily budget of 6.90€ for our canteen, complemented by free snacks and drinks on campus
- Settle in Düsseldorf with a relocation package suited to you and your family's needs
- Get started with an interest-free newcomer loan of up to 2000€ (Ts&Cs apply)
- Save on commuting costs with a subsidized company ticket for public transportation and campus parking
- Stay fit and active using our free on-campus gym, complete with sports classes
- Support your development through free access to personal and professional coaches, and psychologists on Likeminded
- Access free online learning from platforms like Coursera and Frontend Masters
- Immerse yourself in legendary company events throughout the year
- Achieve work-life harmony through our hybrid model with 2 days per week mobile work
- Satisfy your wanderlust with the opportunity to work from abroad for up to 20 days annually
- Work with cutting-edge technology and tools to enhance productivity
- Join educational campus meetups with colleagues and externals, fostering valuable learning and networking experiences