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.