About GoWish, Ønskeskyen ☁️

At GoWish, we’re building the world’s leading wish-list and social shopping platform — a place where you can make a real impact and have fun doing it.

We’re on a mission to reinvent gifting for millions. We win together, driven by curiosity, ownership, and bold ideas that turn into real products. We experiment cross-functionally, push for excellence, and keep things playful as we grow — together.

Team & role overview

As a BI Data Specialist, you will become part of our amazing Analytics team, and be a key driver of data-informed decision-making across GoWish.

• Act as a primary analytical partner for Product, Marketing, Finance, and other teams, translating business questions into structured analysis and clear insights

• Perform exploratory and deep-dive analysis on user behaviour, product performance, experiments, and business KPIs using SQL, BI tools, and product analytics platforms such as Amplitude

• Support product analytics and experimentation, including the design, execution, and interpretation of A/B tests

• Help define, structure, and track core KPIs, ensuring consistent definitions across teams

• Promote data literacy and adoption by sharing insights and helping stakeholders confidently use dashboards and analyses in everyday decision-making

• Work hands-on with SQL and dbt to explore data, build or extend analytical models, and ensure insights are based on reliable, well-structured datasets

• Contribute to data quality and trust across the analytics layer by identifying and resolving issues related to freshness, correctness, and logic

• Build and maintain dashboards, reports, and documentation that enable self-service analytics and shared understanding

• Improve analytical processes and best practices to help the team scale insights without adding complexity.

What we’re looking for 🌟

We imagine that you have:

• 3+ years of experience in BI, Data Analysis, Analytics Engineering, or similar roles

• Strong SQL skills and confidence working directly with raw and transformed data

• Proven experience delivering actionable analysis and insights, not just reports

• Experience with product analytics, experimentation, or user behaviour analysis

• Hands-on experience with dbt or analytics engineering concepts, such as data modeling, testing, and documentation

• Experience working in modern analytical stacks (BigQuery and BI tools)

• Strong communication skills, able to explain insights and trade-offs clearly to non-technical stakeholders

• Curious, structured, and proactive mindset, you ask why, not just what.

Nice to have:

• Experience supporting A/B testing frameworks or experimentation platforms

• Experience working closely with product teams in a data-informed product environment

• Familiarity with data quality checks and analytical testing in dbt

• Experience defining metrics used across multiple teams

• Experience with product analytics tools such as Amplitude, including building and interpreting dashboards. 

Why GoWish should sit at top of your career wish list 💙

At GoWish, we believe great work comes from people who feel energized, supported, and excited to show up every day. That’s why we’ve built a workplace where celebration, growth, and genuine enjoyment are part of the journey — not perks on the side.

Take your birthday off with Happy Birthday Leave, enjoy 30 days of vacation to fully recharge, and join a team that fills the year with events and playful happenings. We invest in your future with pension and insurance, fuel your days with a weekly lunch scheme, and keep you going with unlimited snacks and sodas — because work should feel good.

At GoWish, you don’t just build great products. You build a great work life.

Practical information

We collaborate in a flexible hybrid setup, with most of our magic happening at our bright, modern office in Østerbro — perfectly placed between Nordhavn and Østerport Station. We’re ready for you to join us as soon as you are.

👉 Ready to help shape a platform that already empowers 17+ million users (and counting)? Join us at GoWish — and let’s build the future of data-driven innovation together.