Analytics Engineer

32 - 40 hours - €450K to €65K gross annual - Amsterdam (hybride)

Hello, we are Quin's product team of over a 100 engineers. A community with a clear purpose: to develop clean and scalable apps that propels healthcare into the 22nd century.  

Together with medical professionals (At Quin, there’s always a doctor in the room!), commercial professionals, developers, product managers and BI-specialists, you work in an environment where the (patient) stakes are high and the roadmap is ambitious! If you feel at home in a setting where autonomy is a given and collaboratating with your peers appeals to you, you are welcome to join the team!  

 

As our Analytics Engineer 

Your priority is to gain a deep understanding of how data can support Quin and provide quality data products that best fit the need and skill set of our end users.

The Data Platform team consists of 4 colleagues with 2 data engineers, an analytics engineer and a product owner. We are the driving force behind all Analytical initiatives deployed within Quin. Whether it be by providing our BI team with data for their Dashboards, facilitating an efficient flow of data throughout the organisation or taking ownership of initiatives to improve data-driven decision making.

Even though each team member has its own focus areas, we believe that all team members should have a good understanding of all activities involved while making data available. This way we can challenge each other and provide feedback from different vantage points

Tasks

  • Drive the adoption of data-driven decision making by creating and maintaining easy-to-consume datasets and data models - you will not be creating the dashboards yourself
  • Build long term relationships with consumers of data by managing expectations, implementing quality controls and gaining a deep understanding of the Business processes and priorities
  • Provide transparency on the data artefacts present in the organisation by stimulating the adoption of our Data Catalogue
  • Closely work together with our Data Engineers and Software developers to assure the necessary functional knowledge is present to create quality, stable and relevant data pipelines.

 

A purpose worth investing in! Of note: at Quin, pioneering is the name of the game. Nothing is set in stone yet, so conceptual prowess and a forward-thinking mindset are welcome.

Within the Data Platform Team we work with the following technologies:

How do you make us better? 

 If you are a Analytics Engineer with good experience working with: 

  • Data Modelling (at least 2 yrs) - you understand how to model data so that it can be easily consumed in visualisaton tools like Power BI.
  • The ability to materialise Data Models by creating ETL/ELT processes with the use of SQL and/or Python.
  • A strong communicator who enjoys gaining a deep understanding of Business Processes both by forming relationships and diving into the data
  • Strong desire to improve the status quo, to achieve results, and to make an impact for your customers. You own the code and the technical solution, and this is normal for you.
  • Preferred: Experience with GIT and Power BI
  • and last, but not least: 

You feel comfortable learning, sharing, and gaining a different set of skills. And you are not overwhelmed when colleagues challenge the status quo and make suggestions. You have strong verbal and written communication skills. 

...then this job is right for you! 

 

What will you get from us? 

We hope the opportunity to future-proof healthcare with us gets your adrenaline pumping. That’s what makes your colleagues tick. Speaking of which, you’ll work with talented, international teammates who are always happy to bounce ideas off each other, so learning from peers is a given. We accelerate the learning curve through our (buzz incoming) career development program, which helps you plot the optimal Quin course and empowers you to reach personal goals quicker.  As for the nitty-gritty: we ‘inject’ your checking account with a gross salary between €45-€65k per year depending on seniority.  

We support flexibility and work life balance, and offer a hybrid work environment.3 days from home and 2 days in the office is what we aim for. But given our prime location (the former Netflix building), you may find yourself gravitating towards HQ more often. If only to challenge a colleague in our gaming room, grab a meal in our cafeteria, participate in bootcamps, join our regular learning sessions and lunch lectures.

 

Ready to future-proof healthcare with us?   

Hit that healthy-looking button to set up a digital appointment. Or contact Tommy Thomasssen at t.thomassen@quin.md for more info and an inspirational pitch. 😉  

 

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