Talent Pool Data Analytics

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Holidu is one of the fastest-growing travel tech companies worldwide. Our mission is to finally make the search and booking of vacation rentals easy. We are on this journey in an international team of travel and technology enthusiasts, each of us having an impact on millions of travelers and thousands of vacation rental owners. So, pack your bag, hop on board and get ready for takeoff!

Our current itinerary

There is no suitable job for you? Don’t worry, we have a talent pool for Data Analytics, which we will check as soon as we have a new opening.

Holidu is growing and therefore we are always looking for new talents to join us on our ride. Even if there is currently no suitable vacancy that matches your profile, we are sure that there will be other opportunities in the future and we will reach out to you as soon as we found the right position for you.
If there is a current opening that you are interested in, please apply immediately to that specific job opening to ensure a smooth and fast recruiting experience.

Your future crew

You will be part of the data science team, made up of other experienced and passionate data scientists and supported largely by the data engineering team. Together you are responsible for all things data science and machine learning related. You will be working on a variety of topics such as rankings, recommendations, user segmentation, user lifetime value, image recognition and many others. You will have access to our huge dataset and you will work in collaboration with stakeholders, from a variety of departments organized in squads. Together your objective is to build the best products for our customers. Holidu highly values a diverse and open environment with people from all over the world.

Check our Instagram @lifeatholidu to learn how it is like to work at Holidu!

Our Tech Stack

  • Big Data and Machine Learning with Elasticsearch, Redshift, Spark and Python.
  • Data Analytics with Kibana, R and Tableau.

Your role in this journey

  • You define data flows for collecting, extracting, cleaning, and aggregating data.
  • You perform complex ad-hoc analyses on large volumes of customer web data.
  • Visualize and interpret data using state of the art analytics tools.
  • Support the business and tech teams with KPI definition and statistical modeling.
  • Collect and communicate data needs of tech and business teams as well as support with process automation.
  • Support evolving the data analytics architecture.

Your backpack is filled with

  • University degree in quantitative studies with profound knowledge in statistical analysis.
  • Professional work experience in a quantitative business environment.
  • Expert knowledge of Excel, SQL, Tableau, R or Python, knowledge of Spark or Java is a plus.
  • Analytical mindset and strong business orientation.
  • Curiosity and a passion for Big Data solutions and technology. 
  • Strong communication and presentation skills.
  • Structured work style and first project managing experience.

Our adventure includes

  • Have an impact on the millions of people using our product every month.
  • Grow with responsibility from day 1 and develop yourself through regular feedback.
  • Connect and have fun with diverse yet like-minded people at work, regular events and weekly office days with your team.
  • Get to know the world with our flexible home office policy and the opportunity to work from other local offices. 
  • Learn languages with meetings in English and subsidised German classes.
  • Get in shape with a premium gym membership for a discounted rate.
  • Go travelling for 28 vacation days + 13 public holidays in Bavaria.

Want to travel with us?

Please submit your CV to sign up for our talent pool. Your data will be stored until you revoke and whenever we have a new opening we will check your CV and get back to you as soon as we have found the perfect job for you.

You don't commit to anything, you just express your interest, so why wait? :)

We champion diversity in every aspect of life. We encourage applications from all genders, corners of the world and individual backgrounds. If you have a disability or special need that requires accommodation, please let us know.

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Location

Munich, Germany