(Senior) Data Analyst (all genders)

Munich, Germany

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Holidu is one of the fastest-growing travel tech companies worldwide. Our mission is to make the booking and hosting of holiday homes free of doubt and full of joy. We help hosts to manage their vacation rental with ease and guests to find the perfect holiday home they truly enjoy. Our team of more than 600 colleagues from 60+ nations shares a passion for modern technologies, an ambition for constant improvement and the drive to bring the best experience to more than 40k hosts and 100 million website users each year. You want to achieve amazing milestones with us? Then pack your bag, hop on board and get ready for take off!

Your future team

This position can either be located in our office in Munich or remotely from Berlin with 1 week per quarter in Munich.

You will be part of the Data Analytics team where you will focus on supporting different departments in the company to continuously improve their product and operations by building data pipelines, defining and maintaining KPIs to create visualisations and performing ad-hoc analysis that help the organisation make data-driven decisions.

Our Tech Stack

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

Your role in this journey

The data analytics team is a part of the Business Intelligence department and is responsible for providing the entire company with accurate and timely data, conduct data driven analysis and deliver and deploy predictive models.

As a Senior Data Analyst in the team, you will work directly with stakeholders to assist with problem-solving, prioritization, and insights generation, including KPI definition and ad-hoc data analysis.
Own the end-to-end data flow to provide stakeholders with valuable insights: data collection, extraction, cleaning, and aggregation.
Build and maintain systematic reporting and dashboards in Looker to foster a self-service data culture.
Perform complex ad-hoc analyses and predictive analytics projects on large data sets using SQL and Python.
Collaborate with our Data Engineering and Data Science teams in the Business Intelligence department to jointly deliver interdisciplinary projects.

Your backpack is filled with

3+ years of work experience in analytics with a proven track record of business impact. Experience in e-commerce analytics is a plus.
Advanced SQL skills, including experience with ETL pipelines and data modeling, to build systems supporting data analytics.
Proficiency in a structured programming language such as Python or R.
Ability to generate insights and tell a story from large data sets, using data visualization tools (Looker experience is a plus).
Strong analytical skills with the capability of finding efficient solutions independently.
Enthusiasm for Big Data solutions and methodology.
Excellent communication and presentation skills.

Our adventure includes

Impact: Make a difference for hundreds of thousands of monthly users.
Growth: Take responsibility from day one and develop through regular feedback, workshops, and knowledge exchanges.
Personal Development: Use your learning budget and 2 extra study days for conferences, books, courses, and more.
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 premium gym membership at a discounted rate.
Travel: Enjoy 28 vacation days + 13 public holidays in Bavaria and the possibility to take up to 10 unpaid vacation days with special discounts on our Holidu Homes properties.

Need a sneak peek?
Check out the adventure that awaits you on Instagram @lifeatholidu and dive straight into the world of Tech at Holidu for more insights!

Want to travel with us?

Apply online on our careers page! 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.