Realign LLC
Senior Product Analyst-3
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Product Analyst contract in Austin, TX, requiring strong SQL and Tableau skills, knowledge of A/B testing, familiarity with CRM tools, and the ability to translate data into business insights. On-site work is mandatory.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
November 1, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Austin, TX
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🧠 - Skills detailed
#Tableau #Python #CRM (Customer Relationship Management) #Data Science #Stories #Visualization #AI (Artificial Intelligence) #Automation #Snowflake #SQL (Structured Query Language) #A/B Testing #ML (Machine Learning) #Data Analysis
Role description
Job Type: Contract
Job Category: IT
Role : Senior Product Analyst
Location: Austin, TX
Contract
Requirement:
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)
Required Skills
DATA ANALYST
Job Type: Contract
Job Category: IT
Role : Senior Product Analyst
Location: Austin, TX
Contract
Requirement:
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)
Required Skills
DATA ANALYST
