Реббікс будує ефективні інженерні команди, які допомагають стартапам та корпораціям запускати продукти, півотити, досягати product-market-fit, рости та залучати мільйони користувачів. Ми обожнюємо працювати над крутими продуктами та швидко досягати змістовних результатів. Ми завжди прагнемо дати клієнтам більше, ніж вони очікують.
3 квітня 2023

Data Analyst for Dreamlines (вакансія неактивна)


Project Description

Dreamlines is one of the leading cruise aggregator websites, operating in Germany, Australia, the Netherlands, and the UK.

As a Data Analyst, you will be responsible for analyzing large sets of data to help businesses make data-driven decisions and become data-informed. You will work closely with our product, marketing, and sales teams to identify patterns, trends, and insights that can help us optimize our website and improve the customer experience.


Must have

  • Profound knowledge of SQL
  • Familiar with data visualization tools and can turn quantitative insights into a story (experience with Tableau or Power BI appreciated)
  • Can work with a big amount of data, clean it, structure it, and gain insights.
  • Can effectively deal with ambiguity and make good use of critical thinking
  • Knowledge of python data tools (NumPy, pandas, Matplotlib)
  • Experience with practical application of statistical models such as regression, clustering, and classification.

Nice to have

  • Experience in the online travel domain
  • Experience in A/B testing — from formulating the right hypothesis and metrics to interpreting the results and turning them into product decisions, is appreciated
  • Experience with modern DWH approaches, Data Governance, Data Quality
  • Experience with advanced web dashboard creation tools
  • Data Science skills — predictive models and machine learning algorithms to extract insights from data.


  • Reducing the ambiguity by providing clear insights that support informed decision-making in the Product and Sales
  • Creating value for the business by providing actionable interpretations and understanding of users and their behavior
  • Proactively identifying and answering key strategic questions
  • Connecting the dots by synthesizing data from various sources to indicate opportunities for growth
  • Working in a team with 3 data engineers

We offer

  • Professional growth
  • Flexible hours
  • No time tracking
  • Flat structure, no corporate BS
  • Excellent working environment (office, desk, hardware, fireplace)
  • Gym in the office with professional trainers
  • Regular BBQ’s, events, meetups, parties
  • And much much more...

You can meet our team here: bit.ly/rebbix_team

Interview stages and with whom:

  • Short screening
  • Interview in the office with the Rebbix team
  • Customer interview (Head of BI)
  • Final interview with one of the co-founders

We value your time, so we provide feedback quickly :)