Data Analyst - e-domizil (m/f/d)

Explore a new world of possibilities:

At HomeToGo, we’re on a mission to make incredible accommodation easily accessible for everyone. Our team is united by a passion for travel, driven by innovation and impact, and guided by open-minded leaders at every level. Our commitment to recognizing and empowering exceptional talent is the foundation of our growth.

About e-domizil

The e-domizil company group successfully rents out primarily privately owned vacation rentals for more than 25 years. Under the "atraveo by e-domizil" brand we support the hosts of over 40,000 holiday homes in Europe in almost all aspects of the rental process. We offer both hosts and guests comprehensive services that help make the rental process easier and create positive travel experiences. In addition, our hosts benefit from our extensive online sales network and the experience of our strong community of hosts.As part of the HomeToGo Group, we are also part of the world's largest online marketplace for vacation rentals. Our offices are located in Zurich, Frankfurt am Main, Düsseldorf and Münster.

Your future contribution:

We seek a dynamic and results-oriented Data Analyst who will play a pivotal role in transforming our data into actionable insights that drive business growth and innovation. Your expertise in analytics, data science, and machine learning will enable you to extract meaningful patterns and trends from complex datasets, providing the foundation for data-driven decision-making and strategic planning.

How you’ll add value:

• Manage and oversee our reporting tools, ensuring seamless data distribution and access for stakeholders.
• Analyze and interpret data from various sources, identifying trends, patterns, and anomalies that impact business performance.
• Utilize machine learning techniques to develop predictive models and forecast future trends, empowering proactive business decisions.
• Collaborate with cross-functional teams to translate complex data insights into clear and actionable business strategies.

You’ll be successful in this role if you:

• Hold a degree in a related field (Engineering, Business, Math).
• Have commercial experience as a Data Analyst, BI Specialist, Data Scientist, or similar role.
• Demonstrate a keen ability to understand complex data, identify patterns, and translate insights into actionable business recommendations.
• Exhibit proficiency in SQL and Python, with a working knowledge of Jupiter and/or R as a plus.
• Have experience with Visualisation tools (Tableau, PowerBI or similar).
• Possess excellent communication skills, are fluent in both English and German

About us:

HomeToGo is the marketplace with the world's largest selection of vacation rentals, listing millions of offers from thousands of trusted partners, including Booking.com, Vrbo and TripAdvisor. From vacation homes, cabins, beach houses, apartments, condos, house boats, castles, farm stays and everything in between, HomeToGo combines price, destination, dates and amenities to find the perfect accommodation for any trip worldwide.

Founded in 2014, HomeToGo operates localized apps & websites in 25 countries across Europe, North America, South America, Australia and Asia-Pacific. HomeToGo also operates brands such as Agriturismo.it, AMIVAC, Casamundo, CaseVacanza.it, e-domizil, EscapadaRural, Tripping.com and Wimdu.

HomeToGo is an Equal Opportunity Employer, committed to hiring and nurturing exceptional talent, representing various backgrounds, perspectives and skills. We are authentically candid and open-minded, fostering a safe environment for diverse opinions. Our hiring decisions are based on qualifications, merit and business needs. We do not discriminate against race, ethnic origin, gender, sexual orientation, religion, political, ideological or religious views, disability or age.

We are committed to creating and maintaining a workforce of equality and diversity at HomeToGo and to provide opportunities to everyone. We therefore welcome your application even if you aren't completely confident that your experiences fit the job description criteria. We would really love to get to know you!

•

Zuletzt aktualisiert am 19.04.2024