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On-site in Hoofdkantoor Groningen·Full-time·Added today
Still open when we checked on 9 Oct
This job advert was originally written in Dutch.
Requirements
What we're looking for
You have completed a WO education in a relevant analytical field (such as econometrics, data science, technical business administration, marketing analytics, or similar)
You are able to present analyses clearly and translate them
You are accurate and have an eye for data quality
Nice to have
Plus: you have experience with R, SQL, A/B testing, or working with larger datasets
Pay & benefits
What you'll get
Will you come work with us? Then we will provide not only a great job, but also attractive employment conditions. View our full employment conditions here.
In addition to a good salary, a favorable pension scheme, and 25 vacation days per year, you can at least count on:
Will you be joining us soon too? And only if you want to, because if you don't like it, that's also fine. At Belsimpel, everyone can be themselves.
The role
Translate data into real impact!
What you'll do
You will become part of a multidisciplinary team in which data is central. Our teams build products that are used in more than 30 European countries. To make good choices, we need insight, and that begins with you. As a Data Analyst, you provide direction: with analyses that are sharp, dashboards that are accurate, and conclusions that teams can build upon. You are the link that translates data into real impact. You work on both daily monitoring and larger projects.
Examples of what you will do:
Translate data into clear analyses, dashboards, and reports
You build dashboards and reports using SQL and Apache Superset
Monitor the performance of products, processes, and business units
Triage incoming data requests and sharpen the question behind the question
Establish and monitor KPIs together with product and business stakeholders
Define data requirements and measurement methods in documentation
Set up, analyze, and convert A/B tests into concrete recommendations
Collect input from product, engineering, and commerce and translate it into data initiatives
Monitor data quality and continuously improve existing reports
How you'll work
Full-time | 32-40 h/week | WO-level | Head office Groningen
*You are able to work at the office in Groningen, we have a remote working policy of 2 days per week.
Bring data to life and make an impact on our products
You are located at the intersection of data analysis and commerce. You are familiar with various analysis techniques and tools and, like no other, you can translate your findings into concrete ideas and actions in the field of commerce. You do not need to create mathematical models and algorithms, but you interpret and implement their outcomes in the right way within the business. Will you help us soon in breaking our sales records?
Our tech & workflow
SQL and modern data warehouses (such as BigQuery)
Dashboarding tools such as Looker Studio, Metabase, or internal tooling
Collaboration with data engineering (such as dbt and ETL processes)
Knowledge 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 work in small teams with Data Scientists, Product Managers, and Data Analysts. We also work intensively with other Engineering teams.
Who are you?
For this position, we currently have space for colleagues with different experience levels. Whether you are at the beginning of your career or already bring extensive experience, we would love to talk to you when you meet the following requirements:
You have strong analytical abilities, work in a structured manner, and enjoy making complex questions clear
If you have questions about this vacancy, you can always contact our Talent & Recruitment Specialists. They are available on working days between 9:00 and 17:30 at the telephone number 050-2113856. You can also send an email to werken@belsimpel.nl.
Do you want to know what the application process looks like? Click here.
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