Analytics Engineer

at  Xebia Group

ANALYTICS ENGINEER

Ready to break boundaries in the analytical world? Accelerate you further Analytics engineering career with our advanced training program while working for our partner organization. We fully pay this program as well as your salary.
✅ Help a data driven team and their business by developing data-driven business solutions
✅ Working on the data modelling and creating relevant data sets and dashboard
✅ Build data pipelines to facilitate reporting
✅ Improving and automating data flows and processes

THIS IS YOU

From a personal perspective, you are customer focused and have a strong can-do mentality.
We are looking for a communicatively strong and enthusiastic colleague with a passion for data. Next to this, you have:
✅ A bachelor’s or master’s degree
✅ 2-4 years of work experience as an Analytics engineer/BI Developer/Data analyst
✅ Experience with data modelling, dashboarding and visualization (PowerBI)
✅ Experience with SQL; preferably also Python
✅ Experience with Cloud components (Azure)

• 2 fulltime weeks of hands-on bootcamp training where you’ll focus on writing deployable code, containerization, Analytics engineering & data engineering fundamentals
• Work 4 days a week as an Analytics engineer at one of our clients
• Join us every Wednesday at the Xccelerated office in Amsterdam. Here you will get ongoing training and project support from our technical leads
• At the end of your first year, you get the opportunity to join the partner organization directly
  As an Analytics engineer you will work together with Data engineer & BI developers, whereby you will contribute on developing data-driven business solutions. You will do this in the form of machine learning models, strategic analyses and a self-service data model.
  A big focus of your role will be data modelling and creating relevant data sets and dashboards. You will also be the one that transforms raw data to structured data files. To achieve this, you will build data pipelines to fully automate the availability of data for reporting.