Aeronautical Data Analyst

Key Responsibilities • Analyze, validate, and maintain aeronautical and navigation data in relevant systems. • Ensure data accuracy, consistency, and compliance with applicable aviation standards and internal procedures. • Support monitoring and reporting on data quality, identifying inconsistencies and potential risks. • Collaborate with internal stakeholders, including product, engineering, and operational teams, to implement data-related requirements. • Participate in process improvement initiatives and contribute to automation where applicable. • Prepare documentation, reports, and data assessments for internal and external stakeholders. • Assist in testing and verification activities prior to data deployment or release. Required Qualifications • 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.