# Intern Data Analytics (all genders)

**Company**: Holidu Hosts GmbH
**Location**: Munich, Germany
**Work arrangement**: hybrid
**Experience**: intern
**Job type**: Internship
**Category**: Engineering
**Industry**: Technology

**Apply**: https://holidu.jobs.personio.com/job/2556233
**Canonical**: https://yubhub.co/jobs/job_ad717304-da7

## 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.

## Skills

### Required
- SQL
- Python
- Looker
- Git
- Atlassian
- Airflow
- DBT
- AWS Stack
- Redshift
- Athena
- Glue
- S3