Collect and process raw data from multiple sources to ensure accuracy and relevance.Develop, maintain, and optimize data architectures and data pipelines (ETL).Conduct data cleaning, transformation, and integration to create usable datasets.Analyze data to generate reports, dashboards, and insights that drive decision-making.Collaborate with cross-functional teams to understand data needs and deliver solutions that enhance business performance.Perform ongoing quality checks on data and work towards continuous improvement of data standards.Ensure the integrity of data used for analysis, decision-making, and reporting.Stay updated on best practices in data processing, storage, and visualization.

Lead the data analytics team in developing, implementing, and optimizing data models, visualizations, and reports.• Collaborate with engineering, operations, and IT departments to drive data-driven decision-making for maintenance and operational improvements.• Design and implement scalable data analytics solutions to improve efciency in maintenance, repair, and overhaul (MRO) processes.• Provide insights on predictive maintenance strategies by analyzing large datasets related to aircraft performance, component failure, and operational metrics.• Develop predictive models to enhance forecasting accuracy for resource allocation, component lifespan, and maintenance schedules.• Ensure the integrity and accuracy of data by developing robust data validation and quality assurance processes.• Mentor and coach junior analysts, fostering a culture of continuous learning and innovation within the analytics team.• Present fndings to senior leadership and recommend actionable insights to enhance operational efciency, reduce costs, and improve service levels.• Stay updated with the latest trends and technologies in data science, machine learning, and artifcial intelligence, integrating these advancements into the team's methodologies.