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 beli…