Required Skills & Qualifications:
- 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.
Required Skills & Qualifications: 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: F...
Required Skills & Qualifications:
- 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.
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