Jobid=09aac09d10c7 (0.0273)
Your passion is data and analytics. You want to create value for our clients by uncovering, organizing, and making sense of data. You feel comfortable operating in the sweet spot between business and engineering. WHAT YOU WILL DO TO MAKE ORGANIZATIONS DATA-DRIVEN The Analytics Engineer is the bridge between business and analytics. You understand what data can bring to the organization. With your effective communication skills, you help uncover business needs and how to support them with data, reporting, and visualization. You use software engineering best practices to write production-grade data pipelines, making high-quality data available for creating business value with analytics. You leverage modern tooling to model, test, and document data. Your efforts enable data democratization by improving the reliability and accessibility of data products. As an Analytics Engineer, you play a vital role in empowering end users to make data-driven decisions. Interested in learning more about how and why the role of Analytics Engineering emerged? You can read this blogpost from one of our Analytics Engineers! WHAT IT IS LIKE TO BE A CONSULTANT AT XEBIA DATA As a consultant at Xebia Data, you will have projects of varying length. We, however, always deliver the best quality possible. Xebia Data offers the perfect environment to shine as a data professional. Xebia Data offers you great benefits too, of course! You get a generous tech budget. You can build/test/experiment anything you want in our sandbox environments in GCP, AWS and Azure. You can work on that innovative idea of yours during the monthly Xebia Data Fridays. You have 5.000 Euros and 6 days of development budget per year which you can spend on anything that will make you a better data professional. Within the Analytics Engineering team, we are looking for like-minded people that we would like to work with. We are not looking for a specific type of professional. You love creating value by solving various problems with data, in the most sustainable and robust way. ✅ You are trained as a data analyst, scientist or engineer but have a deep interest in data modelling and software engineering best practices. ✅ You are a jack-of-all-trades, who wants to become a true authority in the field by learning new skills and trying out the latest data tools. ✅ You have excellent communication skills, are interested in learning about the whole data cycle, can write efficient SQL queries, know the basics of Python, and you stand out for your expertise in one or more areas of analytics engineering. You always take the academic approach to data and analytics and find it hard to be pragmatic. ❌ You dislike sharing knowledge by leading trainings, organizing workshops, or writing blog posts.
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