Data Analyst

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, , 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 (e.g. GA4, GTM, Snowplow) and help ensure tracking quality and trust in the underlying data
Use SQL, , 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 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 foundations that enable better decision-making across the organization
Collaborate with experienced professionals across the HomeToGo Group and benefit from a broader international data community
Work in an environment that values curiosity, ownership, collaboration, and openness to new technologies and ways of working
Enjoy a flexible work culture, a hybrid setup and up-to 30 workingdays workation
Please use the following link for your application:
We only accept applications via the link. jidbc097fea jit0416a jiy26a