Data Analyst / Analytics Engineer

2 мес. назад

NetherlandsEuropeOnsite

Analytics Engineer role focused on supporting Product and Insurance departments to deliver AI-powered SME insurance products.

О компании

About   We are a high-growth scale-up backed by €43M in total funding from world-class investors like Accel, Munich Re Ventures, and Formula 1 champion Nico Rosberg. While we started our journey five years ago in the Netherlands, we have since expanded into France and Germany, and we’re just getting started. Our mission is to dominate the European market and become a global leader in AI-powered SME insurance.   We aren't just building a company; we’re leading a revolution. Our culture is intense, high-stakes, and mission-driven. We hire smart, ambitious "owners" who possess a relentless drive to win. This is an environment for those who thrive on challenges, value intellectual honesty, and share our mindset of becoming a global category leader.   Our founding team con

Условия

Competitive compensation that reflects responsibility and impact.
Trust and autonomy: you’ll have real ownership and room to make decisions Space to grow and shape your role as evolves.
A steep learning curve , with support from experienced teammates.
The opportunity to share in what we’re building , with equity for eligible roles once there’s mutual conviction on fit and impact.
A welcoming, central Amsterdam HQ where we work closely together: shared lunches, dogs in the office, whiteboards, and fun end-of-week drinks.
An international, ambitious team that enjoys building meaningful things together.

Другое

Define and calculate KPIs for product and feature launches to track our trajectory toward 10x simplicity.
Identify opportunities and provide data-driven recommendations that influence our roadmap.
Answer analytical questions and analyse A/B tests to ensure we draw the right conclusions from every experiment.
Create and maintain interactive dashboards (using Databricks and QuickSight) for real-time metrics monitoring.
Contribute to the data transformation code base (using dbt and Git) to ensure our data infrastructure is as modern as our software.
Own outcomes within your scope — from problem definition to delivery.
Operate in ambiguity and make decisions without perfect information.
Collaborate closely with colleagues across functions to bridge the gap between "the floor" and "the lab."
Improve how we work by spotting inefficiencies in our data workflows and proposing better ways.
Balance speed and quality in a fast-moving environment.
Have excellent SQL skills: You can calculate any metric in a readable and efficient way.
Are proficient with dashboarding and code tools: You have experience with tools like Databricks, QuickSight, and Git to organise your work.
Understand the "Why": You have a strong grasp of Statistics and A/B testing to draw meaningful conclusions.
Possess a growth mindset: You have a passion for continuous learning and seeking feedback to drive personal growth.
Take ownership naturally: You don’t wait for perfect instructions and thrive in the "grey area".
Can turn messy problems into clear, actionable plans: You are hyper-organised and process-obsessed.
You are looking for a strict 40-hour work week
You need fully defined scopes and stable priorities to perform well
You prefer staying high-level and avoiding hands-on execution
You expect long ramp-up periods before taking ownership