Analytical Expertise : Excellent SQL skills (Snowflake preferred) and experience in data visualization tools (Tableau preferred)
Experimentation & Measurement : Knowledge of A / B testing, causal inference, and performance benchmarking.
Product & Process Understanding : Familiarity with contact-center workflows, CRM / ticketing tools (Salesforce, Genesys, etc.), and LLM-driven automation systems.
Statistical & ML Awareness : Understanding of accuracy metrics, confusion matrices, and model performance trade-offs when comparing human vs. AI output.
Business Acumen : Ability to translate complex data into clear business stories that drive action.
Collaboration & Communication : Strong cross-functional skills; able to partner with engineers, data scientists, and operations teams effectively.
Preferred Tools : SQL, Python (for data analysis), Tableau (visualization)
Preferred Background :
6-10 years of experience in analytics, product operations, or data-driven process improvement.
Experience working in e-commerce, customer service, automation, or LLM-based platforms.
Exposure to contact center analytics, AI evaluation, or operational excellence functions.