Data Analyst (BI and AI)

2-5 years of experience in Business Intelligence, Product Analytics, or Data Analytics in a SaaS or tech environment. Strong proficiency in SQL. Comfort working with cloud data warehouses (BigQuery, Snowflake, Redshift, etc.). Experience with BI platforms like Looker, Tableau, or Power BI. Solid understanding of data visualization and storytelling principles. Strong grasp of product related metrics: activation, retention, churn, funnels, cohorts, segmentation. Working knowledge of Python, R, or Google Apps Script (a plus). Strong communicator. Eagerness to learn and experiment with AI tools and automation frameworks.

Design, build, and maintain dashboards and analytic tools using BI platforms. Partner with teams to deliver data insights driving business decisions. Automate recurring reporting and data workflows. Ensure data quality, consistency, and reliability. Analyze customer journeys, funnels, and friction patterns to identify product opportunities. Define success metrics, design A/B tests, and measure feature impact. Evaluate product changes and their impact on core KPIs. Build and monitor product health dashboards. Conduct deep-dive investigations into user behaviors. Translate complex data into clear, actionable insights. Experiment with AI-assisted analytics tools. Identify opportunities to apply AI and automation. Contribute to a culture of AI curiosity and experimentation.