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 closely with DRM and Music leadership — and the product team — as we grow our Music & DRM business. On the DRM side, you'll validate the metrics that matter, build business cases that motivate product investment, and back our position in platform negotiations. On the Music side, you'll help leadership make better decisions faster: shaping how we think about capex and acquisition tradeoffs, making our biggest financial decisions more data-driven, and building a clear picture of how music moves across our platform and out into the world. You'll have a dedicated mandate spanning both DRM and Music while drawing on the shared infrastructure, engineering support, and peers of our central Data & Analytics team.
Be a trusted thought partner to Music and DRM leadership. Bring structured thinking to high-stakes questions, sanity-check what we measure, and proactively raise the questions stakeholders haven't thought to ask.
Build the business cases that move decisions forward. Turn platform data into the commercial case for what we should build next, and put hard numbers behind contract terms, rate changes, and revenue-share positions where the stakes are real money.
See around corners. Bring data-driven insights around our music investments, and build a deep understanding of how different customer segments use our music — so we can anticipate where demand is heading before it shows up in the numbers.
Connect what happens on our platform with how music performs in the world. Run deep-dives that combine internal and external data to explain why a metric moved, where value is being left on the table, and where the growth opportunities are.
Make our data trustworthy for agentic analytics — enrich context and metadata, and use AI coding tools to ship instrumentation and data-quality fixes directly so both people and AI tools can rely on it.
Uphold analytical rigour as self-serve expands. Push back on false precision in revenue and accrual estimates, set the bar for what good analysis looks like, and resist unnecessary complexity where a simpler approach serves the decision better.
Senior-level influence. You've driven real business impact by shaping decisions at the leadership level and moving revenue outcomes.
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.
Platform curiosity. You don't need prior rights-management experience, but you're genuinely curious to learn how the music platforms actually work, and how that connects to our business.
Experience combining data across platforms — e.g. joining first-party product data with external platform data — to explain shifts in user behaviour.
Data modelling know-how and experience with semantic layers.
A track record of validating and refining metrics in a data-mature environment, and of building business cases that turned into real product investment.
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.
