Cresta is expanding its Customer Success organization with a dedicated analytics function focused on customer value realization. As a Data Scientist, Customer Analytics, you’ll be the technical engine behind measuring and storytelling customer impact.
Requirements
- Conduct exploratory data analysis (EDA) across conversational, operational, and performance datasets
- Translate ambiguous business questions into structured analytical problems
- 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
- 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
- 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
Benefits
- Competitive, location-based pay
- Bonus
- Equity
- Comprehensive benefits package