Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products

• Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy
• Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make clear, actionable recommendations
• Investigate anomalies, conduct root cause analyses, and provide data-driven guidance on priorities and decisions
• Build statistical models, optimization frameworks, and simulations to support and automate commercial decision-making processes
• Present analyses and recommendations to both technical and non-technical stakeholders, including GTM leadership
• Establish foundational data practices and help scale analytics infrastructure to support rapid product and commercial iteration