Data Analyst

📋 Description Address analytical problems of low to medium complexity to measure risk. Analyze user behavior to identify vulnerabilities across risk domains. Ideate on new signals to detect risks with data-driven rules. Use GenAI tools to automate routine metric reviews and alerts. Apply Auto-Adaptive risk frameworks to refine safety rules. Contribute to data initiatives like metric onboarding and pipelines. 🎯 Requirements 1+ years in data-related or quantitative fields. Bachelor's in Analytics, Statistics, CS, or related field. SQL, Python, and data visualization tools (Power BI, Tableau). Fundamental AI/ML concepts and system-thinking for risk analysis. Understanding basic statistics and experimentation. 🎁 Benefits Term Life Insurance and Medical Insurance. GrabFlex to tailor benefits. Parental and Birthday leave; LASA volunteering. Grabber Assistance Programme for wellbeing. FlexWork differentiated hours for balance.