Aeronautical Data Analyst

Wymagania: - Minimum 4–6 years of professional experience in data analysis, aviation data, or related technical domain. - Strong analytical and problem-solving skills with high attention to detail. - Experience working with structured datasets, data validation, and reporting. - Understanding of software development lifecycles or collaboration with technical teams. - Excellent communication and collaboration skills in cross-functional teams. - Fluent English (written and spoken). - Proactive and quality-oriented mindset. Nice to Have - Experience in aviation, air traffic management, or aeronautical data environments. - Familiarity with ICAO, EASA, or related aviation standards. - Experience with data quality tools, SQL, or data processing automation. - Exposure to Agile/Scrum environments. - Understanding of large-scale, mission-critical systems. Key Competencies - Analytical Thinking – ability to dissect complex data sets and identify anomalies or trends. - Attention to Detail – ensuring high accuracy and reliability of critical aviation data. - Problem Solving – proactively resolving data inconsistencies or process gaps. - Communication – clear reporting and collaboration with technical and operational teams. - Reliability & Responsibility – ensuring tasks are completed to high standards within deadlines. - Proactive Mindset – identifying opportunities for process improvement and automation. - Teamwork & Collaboration – working effectively across functions and geographies. Codzienne zadania: - Analyze, validate, and maintain aeronautical and navigation-related data. - Ensure data accuracy, consistency, and compliance with applicable aviation standards and internal procedures. - Support reliability and quality of aeronautical services and related systems. - Collaborate closely with product, engineering, and operational teams to ensure proper implementation of requirements. - Participate in process improvements and contribute to optimization initiatives. - Support incident analysis and resolution related to data or service quality. - Prepare documentation, reports, and data quality assessments. - Contribute to maintaining and evolving existing processes and tools.