• Conduct exploratory data analysis (EDA) across conversational, operational, and performance datasets • Translate ambiguous business questions into structured analytical problems • Analyze how workflow, behavior, and product usage changes translate into business value • Partner with Business Value consultants on customer-facing insights • Design and analyze A/B tests and quasi-experiments to measure Cresta’s impact • Establish baselines, metrics, and measurement plans for pilots • Ensure results are statistically rigorous and easy for non-technical stakeholders to understand • Build reusable templates and frameworks for consistent experimentation • Build and maintain dashboards for Customer Success, Business Value, and Sales • Develop Python and SQL tools to improve repeatability, accuracy, and scalability • Create standardized reporting packages for pilots, QBRs, and renewals • Develop custom statistical or ML models (e.g., segmentation, predictive scoring, lightweight NLP) • Maintain reusable modeling pipelines for value insights and roadmap analysis • Partner with Engineering when guidance or productionization support is needed • Translate analyses into clear business and financial narratives • Support CSMs with data and insights for strategic QBRs • Partner with Product and Engineering on metrics, data availability, and analytics enhancements