(Senior) Data Analyst (f/m/d)

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

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

4+ 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

Have an impact on the millions of people using our product every month.
Grow with responsibility from day 1 and develop yourself further through regular feedback, workshops and knowledge exchange.
Use your personal development budget and 2 extra days off to enhance your professional skills by visiting conferences, buying books, attending courses and more.
Connect and have fun with international, diverse and yet like-minded people at work, regular events and 2 office days per week with your team.
Get to know the world with the opportunity to work from other local offices for up to 8 weeks per year.
Go traveling for 28 vacation days + the possibility to take up to 10 unpaid vacation days with interesting discounts on our Holidu Homes.
Get a sneak peek at the adventure that awaits you on Instagram @lifeatholidu.

Want to travel with us?

Apply online on our career page! Your first travel contact will be Katharina from HR.

We champion diversity in every aspect of life. We encourage applications from all genders, corners of the world and individual backgrounds. Please feel welcome to submit your application without a photo and details on your gender, date of birth, marital status and nationality. If you have a disability or special need that requires accommodation, please let us know.