Jobs at Interhome (Now Hiring) — 9 open

Deine Aufgaben

About us

Interhome Group (part of HomeToGo Group) makes vacation rentals easy for guests, owners, and partners. With 60+ years of experience and thousands of holiday homes across Europe, our Data & Analytics team is building a modern, scalable analytics environment on a cloud stack including Snowflake, dbt, Superset, Python, Snowplow, and Airbyte.

Your role

As a Data Analyst – Web & Digital Platforms, you'll rebuild our web tracking on Snowplow from the ground up, shaping the taxonomy, schemas, and standards that make digital analytics clean, reliable, and easy to trust. And once that foundation is in place, you'll get to build on it, bringing together web, product, campaign, and CRM data to understand how customers find us, how they decide, what brings them back, and what the whole journey feels like along the way.

What you'll do

• Own and evolve our digital analytics stack (GA4, GTM, Snowplow), building tracking that's clean, well-structured, and genuinely trustworthy
• Build and maintain the reporting pipelines and dashboards that enable data-informed decisions across the customer and platform lifecycle
• Analyze user behaviour, conversion funnels, and customer journeys to uncover what drives engagement, satisfaction, and retention
• Use Python, SQL, and statistical methods for deep-dive analyses such as segmentation, attribution, and experiment evaluation
• Collaborate closely with analysts and engineers across the HomeToGo Group to align on data models, definitions, and best practices

Was du mitbringst

What you bring

• 2+ years of experience as a Data Analyst in a stakeholder-facing role (Marketing, Product, or Web Analytics context preferred)
• Web tracking is at the heart of this role, so you either know your way around GA4, GTM, or Snowplow and the logic behind attribution, or you're genuinely keen to go deep on it
• Solid foundation in statistics and data analysis (e.g. hypothesis testing, regression modelling, A/B testing, segmentation)
• Strong knowledge of SQL and experience in data modeling (dbt is a plus)
• Experience with data visualization (e.g. Power BI, Looker, Superset)
• Proficiency in a structured programming language such as Python
• Excellent communication skills, you can translate data insights into clear stories for diverse audiences
• A structured and curious mindset: you think ahead, care about data quality, and love turning data into action
• Excellent communication skills in English (German is a plus) as well as strong interpersonal skills, such that you’re able to easily break down complex ideas and “translate” data-speak to different audiences (including senior leadership)
• Interest in working on tasks that span a wide variety of business domains and stakeholders

Was wir dir bieten

Why join us

• Be part of a new, fast-growing Data & Analytics function driving the digital transformation of a leading European travel brand
• Work with a modern cloud data stack and real impact on marketing, customer experience, and product strategy
• Collaborate with experienced professionals across the whole HomeToGo Group, gaining access to a global data community
• Enjoy a flexible work culture, hybrid setup, and the opportunity to grow in a supportive environment

We only accept direct applications.

Kontakt

About us

Seit dem Beginn der Vermietung der ersten privaten Ferienunterkünfte in der Schweiz im Jahr 1965 hat sich Interhome zu einem der vertrauenswürdigsten Ferienhaus-Anbietern in Europa entwickelt. Heute verbinden wir die Stärke eines leistungsstarken globalen Vertriebsnetzwerks mit der persönlichen Betreuung durch hunderte lokale Büros in ganz Europa. Dieses einzigartige Modell bietet Gästen, Eigentümerinnen und Eigentümern sowie Partnern echten Mehrwert – durch außergewöhnlichen Service, bemerkenswerte Auslastungsraten und ein Urlaubserlebnis, das Jahr für Jahr zum Wiederkommen einlädt.

Seit August 2025 ist Interhome offiziell Teil der HomeToGo-Gruppe und bleibt dabei weiterhin als unabhängige Marke mit starken Schweizer Wurzeln bestehen.