Data Analyst

We’re looking for a Data Analyst to join the Data team and turn data in the central warehouse into actionable insights that guide commercial and product decisions. The role suits someone who enjoys uncovering trends, translating data into clear business narratives, and taking ownership of how analytics evolves across the organisation.

The role can be on-site in Copenhagen or Wrocław, hybrid, or remote within two time zones of the offices (CEST+1).

You will join a small, newly formed Data team alongside one Data Analytics Engineer, with a second currently being recruited.

The Role

Day-to-day, you will work closely with the Data Engineering team on technical delivery and collaborate with business stakeholders to define requirements and drive adoption. As the permanent internal owner of the Data Project, you will take over from the current advisory engagement and lead its long-term development.

Key Responsibilities

• Act as a data advocate within the organization by promoting best practices in data usage, quality awareness, and building and using reports and dashboards, helping teams better understand and trust data.
• Build and maintain dashboards and reporting, including revenue analysis, consent volumes, cross-product usage, cohort views, and conversion views.
• Prepare and present regular business reviews to managers and C-level, connecting data to concrete decisions.
• Specify requirements for source integration and CRM enrichment; validate that the data reflects real product and billing status.
• Act as the translation layer between data engineering and business stakeholders across Finance, Product, Sales, Account Management, Customer Success, Support, and Partnerships.

About You

• Strong SQL and hands-on data analysis; comfortable working directly in a data warehouse environment.
• Proficiency with a BI/dashboarding tool, such as Google Looker Studio/Data Studio or equivalent, and the ability to build clear, decision-oriented visualisations.
• Working knowledge of Python for data manipulation and analysis.
• Demonstrated ability to translate business questions into data work and data findings into business recommendations.
• Practical experience building and maintaining data transformation pipelines using dbt or similar tools, such as Dataform.
• Experience with commercial/SaaS data domains, including subscriptions, invoicing, MRR/ARR, churn, and retention concepts.
• Strong communication skills; able to present to and influence senior, non-technical stakeholders.
• Fluent command of English, written and spoken (C1).

It Would Also Be Great If You Have

• Familiarity with the stack: Stripe, E-conomic, HubSpot, CMP product data, and warehouse and pipeline tooling.
• Exposure to data modelling and warehouse design principles.
• Experience operating between engineering and commercial teams in a scale-up environment.
• Understanding of partner/channel attribution and multi-entity billing.

What We Offer

• Professional development budget, health insurance, and other benefits.
• A positive, informal workplace.
• The opportunity to influence key business decisions, including financial priorities and the product roadmap.
• The autonomy to shape your role and proactively identify areas where data can deliver the greatest value.
• A highly collaborative role as a trusted data partner to teams across the business.

Application Process

The position will be filled as soon as possible, with candidates invited for interviews on an ongoing basis.

• A brief screening call with the Talent Partner (online, approximately 30 minutes, in English).
• A take-home assessment.
• An in-depth interview with the hiring manager and a member of the team (online, approximately 60 minutes).

Commitment to Diversity & Inclusion

Applications from all backgrounds are welcome. The workplace does not discriminate based on race, religion, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability, and aims to build a more diverse and inclusive team.