Data Analyst (m/f/d)

Explore a new world of possibilities

At Interhome Group, part of the HomeToGo Group, we’re on a mission to make vacation rentals easy and enjoyable — for guests, owners, and partners alike. With over 60 years of experience and thousands of holiday homes across Europe, we’re bringing the power of data and technology to a new era of travel.

Our Data & Analytics team is building a modern, scalable analytics environment that empowers our business to make fast, data-informed decisions. You’ll join a growing, collaborative team working with a cutting-edge stack (Snowflake, dbt, Superset, Python, GTM/GA4, Snowplow, Airbyte, etc.) and a shared passion for impact.

Your future contribution

As a Data Analyst, you’ll connect data from digital platforms, product interactions, CRM, and campaigns to generate insights that improve acquisition, conversion, retention, and customer experience. At the same time, you’ll help strengthen our BI foundations by shaping reporting structures, KPI logic, and self-service analytics capabilities that enable better decisions across the business.

This role is ideal for someone who combines analytical depth with business understanding, enjoys working closely with stakeholders, and is excited by modern technologies and new ways of working including AI-supported analytics, automation, and agentic coding workflows.

How you’ll add value

• Partner closely with business stakeholders to understand key questions, translate them into analytical and BI approaches, and turn findings into actionable recommendations
• Build, maintain, and improve reporting pipelines, dashboards, and self-service BI solutions that support decision-making
• Analyze user behavior, conversion funnels, and customer journeys to uncover drivers of engagement, satisfaction, retention, and business performance
• Design and refine KPI frameworks, reporting structures, and metric definitions to ensure consistency, usability, and relevance across teams
• Contribute to the evolution of our digital analytics setup ( GA4, GTM, Snowplow) and help ensure tracking quality and trust in the underlying data
• Use SQL, Python, and statistical methods to conduct deep-dive analyses such as segmentation, attribution, forecasting, experiment evaluation, and behavioral analysis
• Collaborate with analysts, analytics engineers, and data stakeholders across the HomeToGo Group to align on data models, definitions, standards, and best practices
• Explore and apply modern tools and technologies including AI-assisted analytics, automation, and agentic workflows to improve speed, quality, and impact in analytical work.

You’ll be successful in this role if you have

• 2+ years of experience as a Data Analyst in a stakeholder-facing environment
• A strong foundation in statistics and analytical methods, such as hypothesis testing, regression modelling, A/B testing, segmentation, or attribution analysis
• Strong SQL skills and experience working with structured data models; experience with dbt is a strong plus
• Experience with Business Intelligence and data visualization tools such as Power BI, Looker, Superset, or similar
• Proficiency in Python or another structured programming language used in analytical contexts
• Familiarity with digital analytics and tracking tools such as GA4, GTM, or Snowplow, and a good understanding of web tracking, event data, and attribution logic
• A strong understanding of KPI design, stakeholder-oriented reporting, and how BI structures support effective business decision-making
• Excellent communication skills in English, with the ability to translate complex analyses into clear, relevant, and compelling stories for different audiences, including senior stakeholders
• A structured, curious, and proactive mindset: you care about data quality, think in scalable solutions, and enjoy turning ambiguity into clarity
• Strong interpersonal skills and a collaborative working style across different functions and business domains
• Openness to emerging technologies and modern ways of working, including AI-assisted analytics, Agentic AI, and AI-supported coding workflows
• A pragmatic and forward-looking mindset: you are curious to test new tools, evaluate their value, and actively work with technological change rather than resist it
• German is a plus, but not required

Why join us

• Be part of a growing Data & Analytics function driving the digital transformation of a leading European travel brand
• Work with a modern cloud data stack and have direct impact on commercial performance and business value
• Help shape not only analyses, but also the Business Intelligence fo j4id10159579a j4it0416a j4iy26a