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Stockholm, Sverige
Hybrid
Join our global force of 400+ innovators, blending the latest in tech with the greatest in soundtracking — from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Paris, Oslo, and Seoul. We're an industry leader with a startup mentality. We take what we do seriously, but we don't take ourselves too seriously. Come create with us, and let the world feel your work.
As a Senior Data Analyst, you'll join an embedded, AI-native analytics team that sits inside the commercial and product domains driving our growth. You'll work shoulder-to-shoulder with the CPO and product teams as we evolve from a music-library product into a broader creative-workflow platform, defining what success looks like for surfaces that don't exist yet and proving it with data.
Partner with the CPO and product teams to define success metrics, surface growth opportunities, and shape product strategy with evidence.
Stand up and advise on measurement for new product experiences end to end — instrumentation, KPI design, and leading-indicator tracking.
Run the full analytics stack — from descriptive analysis through experimentation — to evaluate performance and drive decisions.
Close data gaps and build scalable, self-serve measurement infrastructure so teams can monitor long-term impact without you in the loop.
Make our data trustworthy for agentic analytics by resolving gaps and enriching context and metadata so both AI tools and people can rely on it.
Strong stakeholder management and business acumen. Track record of influencing senior decision-makers.
High agency. Habit of driving decisions through tailored communication and data storytelling.
Sharp analytical instincts. You scope vague questions with vetted frameworks, state hypotheses up front, and reason to a defensible answer even with imperfect data.
Sound judgement about data. A solid grasp of statistics and the discernment to know when past data predicts the future and when to override it for where the business is heading.
Technical versatility. Proficiency across SQL and Python (notebooks in Hex), dbt (on BigQuery), plus experience with AI coding tools and techniques including context engineering and evals.
Experienced experimentalist. Fluent in A/B testing and causal inference.
Data modelling know-how and experience with semantic layers.
Experience in PLG and SaaS environments (B2C and/or B2B).
A track record of defining metrics for new 0→1 product surfaces.
A fast-paced environment with real room for personal growth and tangible impact on the business.
The chance to help write the new playbook for running Analytics in the AI era combining timeless principles with fresh learnings from emerging tooling.
A diverse, collaborative team of Analysts and Engineers building together.
We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us.
Ready to make the world feel your work? Please apply, in English.
