Data Analytics Engineer

As a Data Analytics Engineer at Floryn, you'll be part entrepreneur, engineer and analyst. You should be interested in how the business operates, what makes the machine tick, but also how you can leverage technology to gain insight into this. You will do this by creating scalable, robust analytical data foundations in dbt, defining metrics with the business stakeholders and building insights on top in Looker that drive business decisions. You will work together with a variety of different people: Data Analysts, Data Scientists, Developers and Commercial teams to understand their data requirements and barriers to growth, then translate these to flexible solutions.

What you'll be doing

• Architecting, optimising, and transforming data models in dbt for flexible analysis by data analysts, data scientists and business stakeholders.

• Empowering teams to leverage data for decision-making while providing support where data expertise is limited.

• Advance automation efforts that help the team spend less time validating data, and more time analysing it.

• Apply software engineering best practices like version control, documenting, unit testing and continuous integration to the analytics code base.

• Collaborating with key stakeholders to drive client success based on their business objectives.

• Rapidly deliver on new concepts through prototyping that can be presented for feedback and iteration.
  

Technology
At Floryn, we've got a treasure trove of fascinating data on customer behaviour, marketing channels, sales, CRM, loan administration, company financials, and even some cool machine learning models. We're all about efficiency, which is why we use dbt for seamless data transformations, allowing you to reuse metrics across reports. Our BI tool of choice is Looker, where we love to create simple yet impactful visualisations and dashboards that tell a compelling story. We also leverage Hightouch for reverse ETL and Deepnote for building proof of concepts.

About Floryn

Floryn is one of the fastest growing fintech companies in the Netherlands. We aim to be the most responsible, scalable and customer-friendly online lender in Europe. We’ve lent out over € 800 million since inception (2016) and have processed over € 7 billion in transaction volume. We're located in a monumental building in the city centre of 's-Hertogenbosch that also houses the Jheronimus Academy of Data Science (JADS). We are with around 60 people, split over Development, Data, Risk, Marketing and Sales.

The technology that we build plays an essential role in everything we do, so we work with a fully in-house development team. Building great stuff is what drives us and quality always comes first. Our technology has a major impact on businesses and people. Our organisation is flat and communication lines are short, so we can move quickly. We don’t have code monkeys. Instead, we give you a problem and trust you will come up with an outstanding solution. We believe in sane working hours and long-term solutions, instead of 70-hour work weeks with temporary workarounds. We do things our own way, we ship code every day and we take pride in our work.

What we think you will need to be successful:

• Strong SQL experience with proficiency in data modelling and analysis. Python knowledge is a significant advantage.

• Experience designing and implementing scalable, reliable, and reusable data models.

• Familiarity with BI tools, preferably Looker, and experience developing data insights through dashboards.

• A solid understanding of data warehousing concepts and best practices.

• Proven ability to gather requirements from non-technical stakeholders and document business logic efficiently.

• Excellent communication and collaboration skills, with a strong eagerness to learn and grow in the field of Analytics.

• At least 2+ years of work experience in an equivalent role.

Perks & benefits

• Front-row seats at a rapidly growing FinTech.

• 30 days paid time off.

• Good salary, pension contribution, 8% holiday pay.

• On-site and hybrid. You get a working from home allowance for your internet and toilet paper.

• Generous budget of € 2.500 to develop yourself with books, courses and conferences.

• Monthly sport budget of € 30 per month.

• MacBook Pro and all high-end gear that you need.

• Travel comfortably by first-class rail or €0,23/km and parking.

• Good coffee, daily catered lunches, lots of social gatherings, events, and winter sports with the Floryn team. Sneak preview: https://www.instagram.com/lifeatfloryn/

• Partially paid sabbatical.

• Got something extra in mind? Just ask us!

If you're ready to join the data revolution and become part of the Floryn family, send us your resume and a cover letter that showcases your personality and why you're the perfect fit for this role. Bonus points if you can make us laugh! We can't wait to meet you.