IT’S IMPORTANT TO KNOW THAT:

• Vision fuels maintenance excellence: Solid understanding of airline maintenance operations and the ability to envision how this role supports the broader aviation landscape.
• Data driven decisions: Advanced Excel proficiency is essential—must be skilled in mining, analyzing, and driving decisions from complex data sets.
• Connection builds collaboration: Strong interpersonal abilities to engage and collaborate effectively with colleagues across multiple generations.

QUALIFICATIONS

• 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Power BI experience.
• Experience defining requirements and using data and metrics to draw business insights.
• Experience with SQL for data extraction.
• Experience making business recommendations and influencing stakeholders.
• Bachelor’s degree or equivalent in Business, Engineering, Mathematics or Statistics.
• 3+ years of business analyst, data analyst or similar role experience.
• Experience in Operations, Supply Chain, or Logistics.
• Understanding data warehousing and data modeling.
• Fluency in a modeling language such as Python or R.
• Experience with one or more statistical modeling languages/toolboxes.

CONDITIONS OF EMPLOYMENT:

Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.

LINGUISTIC REQUIREMENTS

Based on equal qualifications, preference will be given to bilingual candidates.

• Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.
• Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.
• Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.
• Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.
• Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.
• Supporting cross-functional teams on the day-to-day execution of the existent program implementation.
• Generating complex queries to dive deep on process issues.
• Innovating to improve customer experience.