idealo is a Berlin success story: in 2000 we started out with the mission of helping consumers make the best purchasing decisions. Today, with 1.5 million visits per day, 50,000 shops and more than 330 million product offers, we are one of the most popular German e-commerce websites and one of the leading European shopping and comparison platforms. We are active as a price comparison platform in six countries (Austria, France, Germany, Great Britain, Italy and Spain).
As a member of our team, you can look forward to working with a large degree of freedom in an international and inspirational environment. We are located in the heart of Berlin and offer a unique idealo spirit. Your ideas are the driving force that moves our business forward. Not only our product portfolio is diverse, but also the people who work on it. We want you just as you are! Origin, religion, gender, sexual orientation or a degree of disability are irrelevant.
If you are passionate about improving the world of online shopping alongside 800 idealos from 40 nations, apply with us today.
Senior Data Analyst (f|m|x)
As the Data Management area at idealo, we are building a cutting-edge, cloud-based data platform suitable for self-service analytics as well as for machine learning, data products, and our enterprise reporting. We believe that a data-driven approach is a key success factor for our business. Therefore we aim to enable our technical and non-technical internal customers to base their everyday business decisions on hypotheses that are proved by data.
We are looking for a Senior Data Analyst highly passionate about product performance and customer-centric analytics. You will be placed as an internal consultant in a product area which focuses on customer acquisition and loyalty. There you enable product owners and developers in generating and validating product ideas and features based on data and tests. You will be supported by a broader team of product analysts, who are like you embedded in the Data Management area as well as in dedicated product areas.
About your new role
Be the analytical expert in the product area
Enable and support hypothesis-driven product development
Work closely with product owners, software engineers, and UX experts
Provide profound expertise around A/B testing; support test setups and the analysis of the results
Support the definition and reporting on product-specific KPIs
Create dashboards and reports in Google Analytics and Tableau
Teach stakeholders in interpreting dashboards and reports
Teach stakeholders in creating own dashboards and reports
Actively, drive data awareness and data literacy in your product area
Skills & Requirements
You have a passion for customer-centric analytics and increasing user and business value from an analytical point of view
You have a strong hands-on background in data analysis, web analytics, business intelligence or similar
You have proven experience with Google Analytics and at least one data visualization tool (e.g. Tableau)
You have experience with SQL and are curious to analyze data with programmatic approaches (e.g. Python, R)
You have experience with A/B testing
You are able to translate complex analytics into business implications and communicate your findings to non-experts
You can explain the power of self-service analytics
You can work autonomously and are still a strong team player
At idealo you can expect:
Upon starting at idealo you will get all the equipment you need to perform at your best and are invited to our welcome days for OnBoarding
We offer a large degree of responsibility and freedom in an international and inspirational environment
We provide training opportunities for your individual management or specialist career
We share knowledge and learnings through tech talks, tech communities, and product demos
We value our culture of trust, freedom, and responsibility. Employees are self-reliant and free to schedule their own work day
800 motivated colleagues, 37 childcare spots at our company Kita, and a cool office loft in the trendy district of Kreuzberg in Berlin!
+49 30 800 970 730
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