Is the Data Analyst / Analytics Engineer role at Insify remote?

The Data Analyst / Analytics Engineer role at Insify is an on-site position located in Amsterdam.

How do I apply for the Data Analyst / Analytics Engineer position at Insify?

You can apply for the Data Analyst / Analytics Engineer position at Insify directly through HireHere. Click the "Apply" button on the job listing to be taken to the application page.

Data Analyst / Analytics Engineer

InsifyAmsterdam1w ago

A mission-critical role for a data-driven architect to turn raw signals into the strategic engine powering our European expansion.

At Insify, we build insurance for entrepreneurs because we are entrepreneurs ourselves. We know what it’s like to build something from scratch, to take risks, and to carry responsibility that doesn’t switch off at 6 pm. Our mission is simple but ambitious: to make business insurance 10x simpler, faster, and fairer for entrepreneurs and SMEs across Europe. No paperwork. No fine print. No legacy complexity. Just modern software, smart automation, and a relentless focus on the customer.

We are a high-growth European scale-up, backed by €43M from world-class investors, on a mission to become a global leader in digital insurance for entrepreneurs and SMEs. Starting in the Netherlands, we’ve expanded into France and Germany, and we’re only accelerating from here. At our core, we’re a tech company. We build our own insurtech platform and rely heavily on data, automation, and AI to redesign the end-to-end insurance experience: from underwriting to claims. Combined with a fully digital customer portal and strong UX, we’re turning insurance into something surprisingly simple, transparent, and fair. We’re led by seasoned entrepreneurs who’ve built and scaled companies before, and we bring that same ambition, urgency, and ownership mindset to everything we do.

Our culture (read this carefully)

We’re not just building a company, we’re building a category leader. That comes with ambition, responsibility, and pace. Our culture is defined by three things:

High ownership: People own problems end-to-end. If something is unclear or broken, we don’t wait — we step in and fix it.

High pace: Priorities shift, and decisions are made quickly. We value momentum and learning over perfection.

High standards: Outcomes matter more than optics. We care about results, quality, and follow-through.

At the same time, you won’t be doing this alone. We believe great work happens through close collaboration. We work in person, challenge each other’s ideas, and expect contributions from everywhere, regardless of title or tenure. The best ideas often come from unexpected places, and we create space for them to surface.

This is a human-sized company. You’ll know the people you work with, you’ll be able to walk over to anyone to ask a question or test an idea, and you’ll be part of the day-to-day energy of building together. We hire smart, ambitious people who think like owners, value intellectual honesty, and are motivated by impact rather than comfort. If you enjoy challenge, responsibility, and building something meaningful with others, you’ll likely thrive here. If you’re looking for predictability, narrow scopes, or a 9-to-6 lifestyle, this likely won’t be the right fit, and that’s okay. We’d rather be honest upfront.

Your mission

In this role, your mission is simple but demanding: take ownership of a critical vertical of Insify’s journey and deliver results that move the needle.

As a Data Analyst / Analytics Engineer, you will play a key role in translating raw data into actionable strategic clarity, working closely with teammates across the company to turn ideas into execution and execution into measurable outcomes.

What you'll do:

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.

This role is a strong fit if you:

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.

This role is not for you if:

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

We offer:

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 Insify 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.

#LI-LP1

Data Analyst / Analytics Engineer

What you'll do:

This role is a strong fit if you:

This role is not for you if:

We offer:

Explore Data

Skills in this job

People also search for