Compunnel Inc.

Product Data Analyst -- GOSDC5697428

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Product Data Analyst with a contract length of "unknown," offering a pay rate of "unknown." The position requires strong SQL skills, experience in data analytics, and a bachelor's degree in a quantitative field.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
December 12, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#Data Analysis #Data Science #SQL (Structured Query Language) #BI (Business Intelligence) #Computer Science #Monitoring #Statistics #A/B Testing
Role description
JOB SUMMARY We are seeking a Product Data Analyst to support data and analytics work for Client’s Digital Ordering team. The role focuses on launching large restaurant chains on Client-built websites and mobile apps, with the goal of improving the ordering experience and driving sales growth. The contractor will be responsible for building and maintaining reporting, dashboards, and quality monitoring to provide clear visibility into launch performance. Responsibilities include producing weekly quality readouts, surfacing anomalies and restaurant-level insights, and supporting cross-functional partners in troubleshooting data or experiment setups that impact accurate measurement. Key Responsibilities β€’ Build and maintain reporting, dashboards, and quality monitoring for restaurant chain launches β€’ Produce weekly quality readouts and surface anomalies or restaurant-level insights β€’ Support cross-functional partners (product, engineering, business) in troubleshooting data and experiment setups β€’ Provide deep dive analysis to separate actionable insights from noise β€’ Contribute to improving the ordering experience and sales growth through data-driven recommendations Required Qualifications β€’ Strong SQL skills β€’ Experience building dashboards and designing underlying data sources β€’ Strong product and business intuition to interpret data with cross-functional teams Preferred Qualifications β€’ Experience with A/B testing and experimentation design/analysis β€’ Ability to convert open-ended business questions into measurable hypotheses β€’ Skills in analyzing and evaluating hypotheses to present actionable recommendations Education Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Science, Statistics, Business Analytics) preferred Years of Experience 2–4 years of experience in data analytics, business intelligence, or related fields