Product Analyst

Job Title: Product Analyst Company: Easygenerator Job Category: Data Science Roles & Responsibilities: What You Will Be Doing * Run deep dive analyses and root cause investigations into product and business metrics. * Build and maintain dashboards and self\-service reporting. * Scale analytics through AI\-powered tools, including AI agents built on Snowflake and Claude\-based workflows. * Partner with Product, Engineering, and Business stakeholders to define metrics and success criteria. * Track adoption and impact of product launches. * Validate or challenge product hypotheses with data to help shape the roadmap. Work Location: Dubai, Dubai, United Arab Emirates Availability: Full time

What You Will Bring * 3\+ years as a Product Analyst, Data Analyst, or similar, ideally in B2B SaaS. * Advanced SQL skills, including complex joins, window functions, and query optimization on large datasets. * Strong hands\-on experience with Snowflake for querying, modeling, and analytics workflows. * Proficiency in Python for data analysis and automation (Pandas, data wrangling, scripting). * Experience building dashboards and reports in Power BI, including data modeling and DAX. * Experience building analytics apps or internal tools using Streamlit. * Proven ability to turn ambiguous business questions into structured analysis and clear recommendations. * Experience running root cause analyses and communicating findings to stakeholders. * Solid understanding of product metrics, funnels, cohort analysis, and user behavior data. * Strong data storytelling skills and a data quality mindset. * Ownership mindset, strong problem\-solving abilities, and attention to detail. Nice to have * Exposure to experimentation and A/B testing. * Experience building AI agents or automated analytics workflows on Snowflake (e.g. Cortex AI, Snowflake notebooks). * Experience using Claude or similar AI assistants for analytics work, including MD\-based skills/prompts and agent workflows. * Experience with product analytics platforms such as Mixpanel or Segment. * Familiarity with marketing or revenue analytics and attribution models. * Experience with dimensional modeling and modern data warehouse concepts (star/snowflake schemas). * Experience working with semi\-structured data (JSON). Key Skills: Python, SQL, Pandas, Power BI Salary: Not disclosed