Analytics Engineer

Job description

As an Analytics Engineer at Floryn, you'll be part engineer, part analyst. We're not a dashboard factory and we don't want someone who just builds what's asked. You should care about how the company actually works and what makes the machine tick, enough to question a request when the metric is wrong or the data doesn't support it, and to come back with something better. You'll build the scalable analytical foundations in dbt that the whole team relies on, work close to the data itself, and make the analysts around you fast so they spend their time answering the questions that matter. You'll work with Analysts, ML Engineers, Developers and Commercial teams to understand what they need and help get them there.

What you'll be doing

• Architecting, optimising and transforming data models in dbt so analysts and business stakeholders can move quickly without breaking things.
• Building out our semantic layer so metrics are defined once and trusted everywhere.
• Developing automated root cause analysis and a traffic-light system on our key metrics (think Amazon Weekly Business Review) so the business sees what's moving and why, without waiting on a manual deep-dive.
• Advancing automation that lets the team spend less time validating data and more time using it.
• Setting the standard for how the analytics code base is built and maintained, with version control, documentation, testing and continuous integration.
• Rapidly delivering new concepts through prototyping that can be put in front of stakeholders for feedback and iteration.

Technology

At Floryn we've got a treasure trove of data on customer behaviour, marketing channels, sales, CRM, loan administration, company financials, and a good amount of machine learning. We use dbt for transformations so metrics get reused across reports, Metabase as our BI tool for visualisations and dashboards that actually tell a story, and Hightouch for reverse ETL. Data lands via Fivetran and Estuary, Prefect runs our recurring jobs like exports for reporting, and we reach for Python when we're prototyping or pushing through heavier analysis. We care about doing this well, not just doing it.

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, built on our own technology. We've provided over €800 million in SME loans and work with 80+ Dutch and international colleagues on our international ambitions. You'll join an organisation with the energy of a startup and the impact of a scale-up, based in the centre of 's-Hertogenbosch.

The technology we build is central to everything we do, so we keep development fully in-house. Quality comes first, and our impact on real businesses and people is significant. The organisation is flat and the lines are short, so we move fast. We don't hand you tickets to close blindly; we hand you a problem and trust you to come up with an outstanding solution. We believe in sane working hours and durable solutions, not 70-hour weeks held together with tape. We do things our own way, we ship every day, and we take pride in our work.

What we think you'll need to be successful:

• Strong SQL and real comfort working close to the data, not just the table on top.
• Comfortable in a terminal and with version control. dbt experience is a plus, not a must; we'll teach you the stack.
• You build scalable, reliable, reusable data models.
• You keep the code base trustworthy with testing, docs and CI, and you push back when standards slip.
• You've worked in a cloud warehouse (BigQuery, Snowflake, Redshift or similar).
• You can take a vague business question and work out the right metric, not just build what was asked.
• You work well with non-technical stakeholders and communicate clearly.
• 2+ years in a data, engineering or analytics