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

Munich, Germany

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Holidu is a fast growing travel-tech company with travel enthusiasts from 60+ nations. Together, we are striving to revolutionize the vacation rental industry by helping hosts to manage their vacation rental with ease and guests to find the perfect holiday home they truly enjoy. In October 2022, we secured €100 million Series E funding, allowing us to constantly improve our services and achieve the next milestone on our journey. Our team is united by a passion for modern technologies, an ambition for constant improvement and the drive to bring the best experience to more than 100 million users each year. 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 member of the team you will help with these and work directly with stakeholders to help with problem–solving, prioritisation and insights generation, including KPI definition and ad-hoc data analysis.
You own the end to end data flow for providing your stakeholders with useful insights: data collection, extraction, cleaning, and aggregation.
You build and maintain systematic reporting and dashboards in Looker to foster self-service data culture.
You perform complex ad-hoc analyses and predictive analytics projects on large volumes of data using SQL and Python.
You will 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 work experience in analytics with proven business impact.
Experience in analytics with a focus on e-commerce is a plus.
Advanced SQL background, including ETL pipelines and data modelling, to build systems to support data analytics.
Proficiency in a structured programming language (e.g. Python or R).
The ability to generate insights and tell a story from large data sets, using data visualisation tools (Looker is a plus).
Analytical mindset and capability of finding efficient solutions independently.
Curiosity and a passion 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 weekly office days with your team.
Get to know the world with our flexible home office policy and the opportunity to work from other local offices.
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.