What do you do as a Web Analytics Engineer at Coolblue?
As a Web Analytics Engineer, you will be responsible for our web analytics data processes and data model. You are the one who makes sure we have future proof web analytics data that supports decisions . You work together with analysts from different domains, development teams, marketing technology and team customer recognition. Want to become a web analytics engineer at Coolblue? Then read on quickly.
You enjoy doing this
- Building web analytics data models that processes efficiently and ensures good data quality, validity and is properly monitored. .
- Help explain trends and anomalies in this dataset. An example of this is explaining a certain trend break in our most important metric ‘conversion’.
- The regulations around cookies and tracking are constantly changing due to GDPR, you are responsible to make sure we can continue to make our business decisions based on web analytics data.
- You may work with a broad set of tooling such as dbt, Python, Airflow and BigQuery to write and automate the smartest logic.
- You are the link between teams that rely on this data and the teams that make it technically possible to generate this dataset.
This calendar makes you happy
Week 19
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Daily stand-up Data Engineers
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Processing feedback from stakeholders
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Whiteboard discussion
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(Digital) Coffee with Guru
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Coaching session with Yatendra
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Daily stand-up Data Engineers
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Watch Pieter update
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Demo Data Engineering
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Pitch new idea
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Brainstorm Airflow
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Daily stand-up Data Engineers
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Pair Programming
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Teamlunch
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Refinement
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Meeting with PO
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Daily stand-up Data Engineers
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Sprint planning
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Training 'Discover your qualities'
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Outdoor walking with Livia
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Meeting with Team Lead Rafael
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Daily stand-up Data Engineers
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Retrospective
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Last minute meeting with Oguz
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Fill in the feedback form colleague
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Weekend drinks with Cloud Team
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You recognize yourself in the following
- A completed WO degree with a solid quantitative component, think Business Analytics, Econometrics, Economics, Marketing, Business Information Management.
- You have at least 2 years of relevant work experience.
- A passion for building data processes, and for analyzing data. In addition, you are proactive and analytical.
- Experience building and maintaining ETL data pipelines.
- Specialist knowledge of at least one of the following programming languages: SQL, Python or R. Do you know tools like dbt, Looker and Airflow? Those are even more pluses. And if not, we are happy to teach you
- You live in the Netherlands.
This is what you’re looking for in a job
- Money.
- Over 30 training courses at our own Coolblue University.
- Relocation assistance: from A to Z. We will make sure it goes well and give full support.
- Travel allowance and a retirement plan and where-you-work-allowance.
- 25 days of leave. As long as you promise to come back.
- A discount on all our products.
- An extraordinarily good work environment with colleagues from all over the world who make you happy, epic (digital) Coolblue parties, pubquizzing, and other activities.
- Working together in an international environment with colleagues from the Netherlands, Belgium, Germany, Spain, Turkey, Brazil, Mexico, and Italy, among others.
- Room for new initiatives and ideas. We’re always open to those, whether you’ve been with us for a week, a month, or a year.
- Hybrid working: a fine balance between working at the office and working from home. Of course, we’ll help you create the best home-office possible. Including desk chair, laptop, and blue garlands.
Want to know more?
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Does Coolblue offer a hybrid workplace?
Working at the office makes us happy, that’s why we are working partly from home and partly from the office.
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Can I keep developing myself?
Coolblue University: learning at Coolblue, in a different way.
With over 30 training courses in our own Coolblue University, you can get a little bit better every day. At Coolblue, we go back to school sometimes. But not by sitting there quietly and just listening. The training courses aren't boring, but interactive. You have to do exercises and have discussions with others. At the Coolblue University, we choose what we want to learn, so we can continue to develop en become real experts. For example, a Delivery Driver needs different training courses than a Customer Service Employe and a starter needs different courses than a manager.
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1
APPLY
Go for it
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PHONE CALL
It's for you
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CASE
Open and shut
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2ND ROUND
Go for the fridge
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5
CONTRACT
I do
