Product Data Analyst

Summary

Join Intuit as a Product Data Analyst! This full-time, remote (PST) position requires collaborating with Product, Engineering, and Business teams. You will leverage your AI/ML expertise to conduct product analytics, develop dashboards, and apply predictive modeling. The ideal candidate possesses strong analytical skills and communication abilities to present data-driven insights to both technical and non-technical stakeholders. This role demands experience in data analysis, AI/ML, and BI tools. The position offers the opportunity to contribute to data-informed strategies and optimize product performance.

Requirements

• 5-8+ years of experience in data analysis, product analytics, and AI/ML-driven insights
• Strong SQL skills for querying and analyzing large datasets (Presto SQL, BigQuery, etc.)
• Proficiency in BI tools such as Qlik Sense, Tableau, Amplitude, or Data Studio
• Python experience for statistical modeling and AI/ML-driven analysis
• Experience in A/B testing, experimental design, and data instrumentation
• Knowledge of predictive modeling, clustering, and classification techniques
• Ability to transform complex data into simple, compelling insights for business stakeholders
• Experience working with large-scale datasets and structuring unstructured data for analysis
• Strong communication skills to present data findings and drive decision-making

Responsibilities

• Conduct product analytics and user behavior analysis to drive data-backed decisions
• Develop and maintain dashboards, reports, and data visualizations using Qlik Sense, Tableau, or similar tools
• Apply AI/ML models to analyze trends, optimize product performance, and drive automation
• Define and track product success metrics, KPIs, and A/B testing experiments
• Leverage statistical analysis and predictive modeling to identify patterns and trends
• Provide business intelligence insights that impact product growth, customer engagement, and retention
• Collaborate with Product Managers, Data Scientists, and Business Leaders to deliver actionable insights
• Ensure data integrity, consistency, and governance across reporting and analysis efforts
• Stay up to date with emerging AI/ML trends and analytics best practices

Preferred Qualifications

• Prior experience in fintech, e-commerce, SaaS, or AI-driven product analytics
• Familiarity with data-driven decision-making in a product-led organization
• Strong understanding of user segmentation, customer journey analysis, and engagement metrics
• Hands-on experience in prompt engineering to accelerate AI-driven development