Senior Data Analyst - Enterprise GTM

Responsibilities

• 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.

Requirements

• 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.

Benefits

Additional Information

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.

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Company Intel

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