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.