Senior Product Analyst

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Snowflake
SQL
Data Visualization
Tableau Preferred
A/B testing
causal inference
Performance benchmarking
Salesforce
Genesys
contact-center workflows
CRM/ticketing
LLM-driven automation systems
AI
Python

Job Details

Title: Senior Product Analyst

Location: Austin, TX

Job Description:

  • 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)
  • 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)

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