Data Analist

You operate at the intersection of data analysis and commerce. You are familiar with various analytical techniques and tools and are exceptionally skilled at translating your insights into concrete commercial ideas and actions. You don’t need to build mathematical models or algorithms yourself, but you do interpret their outcomes and implement them effectively within the business. Will you help us break our sales records?

You will join a multidisciplinary team where data plays a central role. Our teams build products that are used in more than 30 European countries. To make good decisions, we need clear insights and that starts with you. As a Data Analyst, you provide direction: with sharp analyses, reliable dashboards, and conclusions teams can truly build upon. You are the link that turns data into real impact. You’ll work on both day-to-day monitoring and larger, cross-team projects.

Examples of what you’ll work on:

• Translate data into clear analyses, dashboards, and reports

• Build dashboards and reports using SQL and Apache Superset

• Monitor the performance of products, processes, and business areas

• Triage incoming data requests and identify the underlying question

• Define and maintain KPIs together with product and business stakeholders

• Document data requirements, assumptions, and measurement methods

• Set up and analyze A/B tests and turn results into actionable recommendations

• Gather input from product, engineering, and commercial teams and turn it into data initiatives

• Safeguard data quality and continuously improve existing reporting

• SQL and modern data warehouses (such as BigQuery)

• Dashboarding tools like Apache Superset, Looker Studio, Metabase, or internal tooling

• Collaboration with data engineering (including dbt and ETL processes)

• Knoflede of R is a plus

• GitLab for version control, reviews, and collaboration

• Agile workflow, short iterations, continuous feedback

• Strong focus on data definitions, documentation, and data quality

We werken in kleine teams met Data Scientisten, Product Managers en Data Analisten. Ook werken we intensief samen met andere Engineering teams.

Are you joining our team? Then we’ll not only make sure you have a great job, but also attractive employment benefits. Take a look at our full employment conditions here.

In addition to a good salary, a favorable pension scheme, and 25 vacation days per year (option to buy 5 more), you can also count on:

For this position, we currently have opportunities for colleagues with varying levels of experience. Whether you are at the start of your career or already bring extensive experience, we would be happy to speak with you if you meet the following requirements:

• You have strong analytical skills, work in a structured way, and enjoy clarifying complex questions

• You have completed a university degree (WO) in a relevant analytical field (such as econometrics, data science, industrial engineering, marketing analytics, or similar)

• You are able to present analyses clearly and translate them into actionable insights

• You are precise and have an eye for data quality

• Bonus: You have experience with R, SQL, A/B testing, or working with larger datasets

If you have any questions about this vacancy, you can always contact our Talent & Recruitment Specialists. They can be reached between 9:00 and 17:30 on working days at telephone number . You can also send an email to via de button "Solliciteer nu" op deze pagina..

Would you like to know what the application process looks like? Then click here.

Will you be there next year? Only if you want to, you don't have to. At Gomibo everyone can be themselves.