Intern Data Analytics (all genders)

Holidu is one of the world’s fastest-growing vacation rental technology companies. Our mission is to make booking and hosting holiday homes free of doubt and full of joy, by helping hosts generate more bookings with less work and helping guests find a holiday home they truly enjoy. Our team of 700 colleagues from 60+ nations shares a passion for tech, an ambition for constant improvement, and a relentless drive to bring the best experience to more than 40k vacation rental hosts and 4 million annual guests.

Your future team

You will be part of the Business Intelligence department, which consists of the Data Science, Data Analytics, and Data Engineering teams.

This internship provides a great opportunity to gain hands-on experience into Data Analytics. You will work alongside a team of highly skilled and dedicated who are committed to offering strong mentorship and guidance to help you start your career in the field of data.

Duration: 6 months.

Location: Munich, 2-3 office days per week.

Our Tech Stack

• Database: AWS Stack (Redshift, Athena, Glue, S3).
• Data Pipelines: Airflow, DBT.
• Data Visualization: Looker.
• Data Analytics: SQL, Python.
• Collaboration: Git, Atlassian.
  
  

Your role in this journey

As a Data Analytics Intern at Holidu, you’ll help our company make smarter, data-driven decisions, while being supported by a Senior Analyst.

This role goes beyond building dashboards. We want curious, proactive people who want to become data advisors - not only delivering reports, but understanding the business context, which questions they answer and why they matter.

• Collect, analyse, and interpret large datasets to help solve real business challenges.
• Build dashboards and reports using tools like SQL, Python, and Looker.
• Collaborate closely with teams such as Product, Marketing, or Finance to help them extract actionable insights from data.
• Build and improve data pipelines using cutting-edge technologies.
• We are an AI-first team. Rather than manually executing repetitive tasks, you will use AI to work smarter and automate workflows.
• You’ll collaborate with our Data Scientists and get exposure to:
• Data preparation and exploratory data analysis.
• How ML-models are built, evaluated, and deployed in real-life.
  

Your backpack is filled with

• Currently enrolled in or recently completed a Bachelor’s or Master’s degree in a quantitative field (e.g., Business Analytics, Data Science, Economics, Statistics, Mathematics, Engineering or similar).
• Understanding of SQL and Python, proficiency in Excel/Google Sheets and a desire to learn visualization tools like Looker.
• Knowledge of Machine Learning and Statistical models is a plus.
• Strong analytical and problem-solving skills, and attention to detail.
• Curiosity to learn and a passion for solving data problems.
• Good communication and presentation skills.
  
  

Our adventure includes

• Compensation: Get a fair salary.
• Impact: Make a difference for hundreds of thousands of monthly users.
• Growth: Take responsibility from day one and develop through regular feedback.
• Community: Engage with international, diverse, yet like-minded colleagues through regular events and 2 office days per week with your team.
• Flexibility: Benefit from our hybrid work policy and the chance to work from other local offices for up to 8 weeks a year.
• Fitness: Get a Urban Sports Club corporate subscription or a premium gym membership at a discounted rate.
  
  

Need a sneak peek?

• Check out the adventure that awaits you on Instagram @lifeatholidu.
• See also what Life as an intern looks like at Holidu!
  
  

Want to travel with us?

Apply online on our career page with your CV and transcript of grades from your university.

Your first travel contact will be Katharina from HR.

We are committed to diversity in all aspects of our business. We encourage applications from all genders, all corners of the world and all individual backgrounds. You are welcome to submit your application without a photo and without stating your gender, date of birth, marital status, nationality or disability status (if applicable).

If you require any special assistance when arranging interviews, office visits or the recruitment process in general, please contact the relevant HR person responsible for this job and we will do our best to accommodate your needs.

Location Munich, Germany