Data Analyst

What you'll be up to (some examples):

• Define what success looks like for a product or feature, and set the KPIs that measure it — before anyone hands you a spec.
• Design and run A/B tests and experiments, and draw the right conclusions from them, including when results are ambiguous.
• Analyze how users move through our products — conversion, drop-off, retention — and turn that into concrete recommendations for product and growth teams.
• Investigate why performance is changing across our expanding European markets, and help decide where and how we invest next.
• Answer open-ended business questions by exploring the data yourself, not by requesting a pre-defined metrics list.
• Partner directly with product managers, marketing/growth, and occasionally leadership to translate analysis into decisions.
• Own outcomes within your scope — from problem definition to a recommendation that gets acted on
• Operate in ambiguity and make decisions without perfect information.
• Spot inefficiencies or blind spots in how we measure things, and fix them without being asked.

This role is a strong fit if you:

• Have excellent SQL skills: you can calculate any metric in a readable and efficient way.
• Have real, hands-on experience designing or running A/B tests and interpreting the results — this is a must, not a nice-to-have.
• Have done cohort, funnel, or conversion analysis to understand user behavior, not just reported on it.
• Have a track record of defining metrics or KPIs yourself, rather than being told what to measure.
• Have a commercial mindset: you can translate an analysis into a recommendation a non-technical stakeholder can act on.
• Take ownership naturally: you don't wait for perfect instructions and thrive in the "grey area."
• Can turn messy, ambiguous problems into a clear plan without needing a defined scope handed to you.
• Are comfortable with exposure to modern data tooling (Databricks, dbt, SQL-based transformation)

This role is not for you if:

• You need a list of metrics from stakeholders to know what to measure or investigate.
• You'd rather only build and maintain dashboards than dig into the data yourself and drive decisions from it
• 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 you don't want to get hands-on with the data itself, from digging into raw numbers to helping shape how it flows through our pipeline
• 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.