Description
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 professionals 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.