As an Intern Business/Data Analyst you will help us to make better use of the data we collect and make sure we deliver the best possible product to our customers. Being a Data Analyst at Floryn means you are a healthy mix between an entrepreneur and data 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 work closely with the Development, Data Science, Risk, Marketing and Sales teams.

We have a lot of interesting data on customer behaviour, marketing channels, sales and CRM, loan administration, company financials and machine learning models. We use Metabase as our BI tool, Hightouch for reverse ETL and dbt for our data transformations so you can re-use metrics across reports. No more copy/pasting SQL queries! We like simple visualisations and dashboards that can actually tell a story.

What you'll be doing

• Create reports/dashboards using Metabase by compiling data from different platforms (for example Hubspot and Google Ads). Note that the data is already collected for you, our pipelines are in place.

• Write and automate data models in dbt.

• Engage with stakeholders to understand business requirements for projects.

• Deliver actionable insights that improve our business.

• Learn to create data model proof of concepts with tools such as Miro and Deepnote.

Topics you might think of

• Work together with our marketing team to understand how we can spend our allocated marketing budget in the smartest way possible.

• Extract and analyse data to interpret the impact of experiments on sales performance (e.g. number of leads, cost per acquisition, conversion rate)

• Set up data modelling pipelines in dbt to minimise the repetition of code and write data tests to increase development speed.

• Together with Data Science you will determine the cost components of Customer Lifetime Value. With this input you can model Customer Lifetime Value per customer in Metabase, so that we can find high and low customer lifetime segments which we can use to determine where to focus our efforts.

About Floryn

Founded in 2016, Floryn is one of the fastest-growing fintech companies in the Netherlands - and recently also beyond. While traditional banks are often slow and complex, we make business financing fast, transparent, and flexible. With our own technology, we are innovating the way companies access capital.

We have already provided over €800 million in SME loans and we work with over 80 professionals, consisting of Dutch and international talent, on our international ambitions. You will be part of an organization with the energy of a startup and the impact of a scale-up.

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.

You Are

• A data lover and curious about the business side of things

• A self-starter with strong analytical and problem solving skills

• You are excited about the intersection of AI and Data

• HBO or WO student nearing the end of your study

• Able to craft your own SQL to manipulate the data you need

• Excellent at eating our office snacks

• Familiar with data analysis and visualisation tools

Perks & benefits

• An internship project with a lot of challenges in a very interesting domain

• Daily ‘bourgondische’ lunch at the office.

• Depending on your education level we’ll compensate you with a monthly internship fee in the range of € 800

• Many team activities, from drinks to sporting events.