Analytics Engineer

<p> As an Analytics Engineer at Coolblue, you build smart data models that help teams make better decisions every day. You combine sharp SQL skills with a good sense of business. You turn messy data into clean models that analysts, dashboards and machine learning tools can rely on.<br><br>Heeft u wat nodig is om te slagen? De volgende informatie dient door alle kandidaten zorgvuldig gelezen te worden.<br><strong>How do I become a Analytics Engineer at Coolblue?</strong><br> As an Analytics Engineer at Coolblue, you turn complex data into clear, usable models. Your models help teams like Marketing, Operations or Finance make smarter decisions, faster. You work closely with data engineers to connect source data and keep things running smoothly. You also team up with analysts and product owners to understand what they really need. From version control to automated testing — you build like an engineer, think like a business partner. Thats how you make our data landscape a little better every day.<br><strong>You enjoy doing this</strong><br> </p> <ul> <li> Build clean, tested, and scalable data models using dbt and SQL. </li> <li> Talk with analysts and product owners to understand what data they need. </li> <li> Team up with data engineers to improve pipelines and data architecture. </li> <li> Make sure datasets are accurate, well-documented, and ready to use. </li> <li> Use engineering practices like version control, CI/CD, and peer reviews. </li> <li> Share knowledge with teammates through reviews, coaching, and docs. </li> <li> Structure data for performance, usability, and maintainability. </li> <li> Write clean code and clear documentation for long-term use. </li> <li> Work closely with both tech teams and business stakeholders. </li> <li> Keep learning new tools and improving your skills every day. </li> </ul> <br> <p> <strong>You recognize yourself in the following</strong><br> </p> <ul> <li> 3+ years of experience in analytics engineering or technical data roles. </li> <li> Confident working with SQL and a programming language like Python. </li> <li> Experience with dbt and cloud platforms like BigQuery or Snowflake. </li> <li> Know how to design data warehouses, pipelines and orchestration flows. </li> <li> Familiar with visualization tools such as Looker or similar. </li> <li> Knowledge of data observability tools like Monte Carlo is a plus. </li> <li> Strong communication skills tailored to tech and non-tech audiences. </li> </ul> <p> <strong>This is what youre looking for in a job</strong> </p> <br> <ul> <li> Money </li> <li> Over 30 training courses at our own Coolblue University. </li> <li> Travel allowance and a retirement plan. </li> <li> 25 days of leave. As long as you promise to come back. </li> <li> Travel allowance, a pension plan, and "where-you-work-money." </li> <li> A discount on all our products. </li> <li> An extraordinarily good work environment with colleagues from all over the world who make you happy, epic Coolblue parties, pub quizzes, and other activities. </li> <li> Room for new initiatives and ideas. Were always open to those, whether youve been with us for a week, a month, or a year. </li> <li> A job at one of the fastest-growing companies in the Benelux. </li> <li> A picture-perfect office at a great location. You could crawl to work from Rotterdam Central Station, though we recommend just walking for 2 minutes. xcjrqgh </li> <li> At this moment, we have a hybrid way of working: a combo between working from home and at the office. Of course, we take care of home office supplies, including a desk chair, laptop, and blue-colored decoration </li> </ul> <br><br>