Intellectt Inc
Senior Product Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Product Analyst in Austin, TX, on a contract basis. Key skills include SQL (Snowflake preferred), Tableau, A/B testing, and familiarity with CRM tools. Strong analytical, business acumen, and collaboration skills are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 4, 2025
🕒 - Duration
Unknown
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🏝️ - 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
#AI (Artificial Intelligence) #Visualization #CRM (Customer Relationship Management) #Python #Snowflake #A/B Testing #Data Science #SQL (Structured Query Language) #Tableau #Stories #Data Analysis #Automation #ML (Machine Learning)
Role description
Job Title: Senior Product Analyst
Location: Austin, TX. Onsite
Contract
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)
Job Title: Senior Product Analyst
Location: Austin, TX. Onsite
Contract
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)
