Posted 5 days ago
Lead Product Data Analyst
AI Summary
Tech-first. Ego-free. User-obsessed. Over one million Danes use Skatteguiden to understand and optimise their taxes. We automate tax tracking, surface deductions people didn't know they had, and give users the insights they need to make better financial decisions — all directly connected to the Danish tax authority.
About this role
Tech-first. Ego-free. User-obsessed. Over one million Danes use Skatteguiden to understand and optimise their taxes. We automate tax tracking, surface deductions people didn't know they had, and give users the insights they need to make better financial decisions — all directly connected to the Danish tax authority. We're an independent company of around 50 people based in Copenhagen, with a 4.7-star rating and a simple mission: make financial insight accessible to everyone, not just those who can afford an accountant.
The role
We need someone who owns product analytics — not just executes it. You'll set the direction for how Skatteguiden uses data to understand its users and make product decisions, and you'll be the person who raises the bar for what good analytics looks like here.
You'll work closely with product managers across our product teams and have real influence on what gets built and why. This isn't a support function. It's a lead role with ownership.
What you'll be working on
Own the product analytics function — define the strategy, set the standards, and drive adoption across product teams
Define and maintain core product metrics and KPIs across the organisation
Design and run experiments — from hypothesis to conclusion
Analyse user behaviour and funnels to identify growth opportunities and friction points
Build scalable dashboards and reporting in close collaboration with the data team
Translate findings into concrete recommendations for product leadership and senior stakeholders
What you bring
Strong SQL skills and experience with complex data modelling
Experience with Snowflake, dbt, Lightdash, Evidence or comparable tooling.
Solid product analytics experience — you've worked closely with product teams and understand what drives a digital product
Strong experimentation design and statistical analysis skills
A track record of owning a product analytics function, not just contributing to one
Ability to communicate complex findings clearly to both technical and non-technical stakeholders
Self-directed and structured — you can take an ambiguous question and turn it into a sharp analysis
Nice to have
Experience with Snowflake or a comparable cloud data warehouse
Experience with Lightdash, Tableau, or comparable BI tools
Python for data processing and analysis
What we offer
Ownership of the product analytics function at one of Denmark's fastest-growing fintech companies
Direct influence on product direction and a seat at the table where decisions are made
A strong data team with high professional standards and a modern tech stack
The opportunity to build something — not inherit a finished function
Office first in Copenhagen — five minutes from Rådhuspladsen, lunch at Claus Meyer, dinner covered if the day runs long
Practical
Start: As soon as possible
Reports to: Head of Data & Operations Planning
Salary: Competitive and based on experience
Our Lean Recruitment Process
Screening call with Christian Payne, 30 min (online)
45-minute onsite meeting with hiring manager and product manager
1-hour onsite case session with hiring manager and team member, followed by a short conversation with Nikolai (CEO), 30 min