Lead Product Data Analyst

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.

• 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

• 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
  

• Experience with Snowflake or a comparable cloud data warehouse

• Experience with Lightdash, Tableau, or comparable BI tools

• Python for data processing and analysis
  

• 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
  

• 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