Data Analyst

📋 Description Collect, manage, clean, and enrich large datasets to unlock insights. Build real-time analytics, dashboards, and automated insights at scale. Design scalable data pipelines and streaming analytics for low latency. Prepare datasets for ML training; support feature stores and model monitoring. Create interactive live dashboards and self-serve analytics for teams. Collaborate with Product, Engineering, DevOps, and Data teams to align analytics with strategy. 🎯 Requirements Bachelor's in Statistics, CS, Data Science, or related field; Master's a plus. Experience in data analytics or platform analytics in SaaS/product orgs. Hands-on with cloud data environments; AWS preferred. SQL and Python; JavaScript/NodeJS a plus. Dimensional modelling, star schemas, data marts; relational/NoSQL DBs. Excellent communication; analytical, adaptable, organized, and innovative. 🎁 Benefits Private medical insurance from day one. Remote working arrangements to support lifestyle. Open holiday policy with no upper limit. Opportunities for professional development and growth. Inclusive, supportive culture with commitment to DEI. Impact-driven work that supports global economic inclusion.