Remote Senior Data Analyst

Description:

• Develop high-efficiency, Object-Oriented (OOP) analytical tools for processing large-scale financial data.
• Architect and manage sophisticated data structures for multi-source payment data.
• Write and tune expert-level SQL for complex joins and high-volume analytical queries.
• Design and maintain scalable ETL/ELT workflows using Apache Airflow within AWS.
• Ensure modular, scalable, and maintainable analytical codebases using Git.
• Build logic for real-time processing to support fraud detection and payment analysis.

Requirements:

• Fluency in SQL (Postgres/Redshift) and Python (OOP focus).
• Experience with Apache Airflow, Git, and AWS ecosystem.
• Interest or experience in FinTech and real-time processing.
• Strong critical thinking, attention to detail, and multitasking abilities.
• 3+ years in a data-focused role.

Benefits:

• Spacious and modern office.
• Paid lunch in the office.
• Company sponsored professional trainings, certifications, and conferences.
• Social events including team buildings and corporate events.
• Supportive and experienced team members for professional growth.