Senior Data Analyst - Enterprise GTM

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 VP of Revenue Operations and Global Sales Leadership as we scale our enterprise business — defining what success looks like across the full bow-tie funnel, from pipeline generation to expansion revenue, and proving it with data. You'll have a dedicated mandate within the Enterprise GTM org while drawing on the shared infrastructure, engineering support, and peers of our central Data & Analytics team.

What you'll do

• Partner with RevOps and Sales leadership to define success metrics, surface growth opportunities across the enterprise bow-tie funnel, and shape GTM strategy with evidence — proactively raising the questions stakeholders haven't thought to ask.

• Build and refine the models that steer the business — customer segmentation for territory and capacity planning, lead and account scoring for pipeline quality, and forecasting for pipeline and revenue.

• 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.

• Own the analytical backbone of how the enterprise business is steered — KPI and metric definitions aligned across Sales, Marketing, and Finance, and the monthly, quarterly, and annual performance forums, owning the narrative, not just the slides.

• Close data gaps and build scalable, self-serve measurement infrastructure so GTM teams can monitor long-term performance without you in the loop.

• Uphold rigor as self-serve expands — push back on false precision in pipeline and forecast numbers, set the bar for what good analysis looks like, and resist sophistication, statistical or AI, where a simpler approach serves the decision better.

What you'll bring

• 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.

• PLG/SaaS fluency. Hands-on experience in product-led and SaaS businesses, with a solid grasp of subscription economics and the metrics that drive them.

Music to our ears

• Experience across the B2B GTM funnel — Sales, Marketing, and RevOps — with funnel, segmentation, and forecasting analytics.

• Data modelling know-how and experience with semantic layers.

• A track record of defining metrics and steering frameworks for enterprise or 0→1 commercial motions.

What we'll offer

• 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.

Equal opportunity employer

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.

Application

Ready to make the world feel your work? Please apply, in English.