Airport Analyst

The Airport Analyst is responsible for transforming operational, connection, and service-quality data across Arajet's airport network into semantic models, structured datasets, and decision-ready reporting. This role builds, request and maintains automations, RPA processes, and dashboards that give Airports leadership real-time, self-service visibility into performance, replacing manual data consolidation with reliable, repeatable analysis. By turning data into clear insights and presentations, the Airport Analyst supports faster and better-informed decision-making across the network, while freeing senior leadership time currently spent compiling and interpreting operational data.

Key Responsibilities

Data Architecture & Semantic Models:

Lead the migration of airport operational data (OTP, connections, baggage handling, ground handling, incidents) from static reports to semantic models and structured datasets, establishing a single source of truth for the Airports area.

Performance Monitoring:

Track and analyze KPIs across the airport network, including OTP, connection recovery, NPS, incident volume, and SLA compliance, to ensure operational and service quality targets are met.

Reporting & Dashboard Management:

Design, build, and maintain interactive dashboards and recurring reports that provide real-time visibility of airport performance to Airports leadership and the Chief Committee.

Automation & RPA:

Design, request, test, and follow up on RPA developments and automation workflows that eliminate manual data consolidation, reduce errors, and free senior leadership time for decision-making rather than data compilation.

Data Analysis & Decision Support:

Analyze large datasets to identify root causes, trends, and operational risks, translating findings into presentations and insights that support the Chief Committee and the CEO in making better-informed decisions.

Systems & Data Governance:

Ensure the integrity, consistency, and proper configuration of the data sources feeding Airport systems, and ensure data handling complies with internal policies and quality standards.

 Cross-Functional Collaboration:

Work with Technology, Ground Handling providers, CX, Operations, and Commercial teams to validate findings, resolve systemic issues, and align airport data initiatives across the network.

Process & Service Improvement:

Identify inefficiencies across airport processes and connections; recommend and support the implementation of data-driven optimizations that improve OTP, NPS, and operational costs

QUALIFICATIONS, EXPERIENCE, & SKILLS:

• Bachelor's degree in industrial engineering, Business Administration, Data Analytics, Statistics, or a related field.
• Experience: 1–3 years of experience in data analytics, BI, or operations analysis
• Advanced proficiency in Power BI and semantic data modeling (or equivalent BI / data-modeling tools).
• Advanced Excel skills and experience structuring datasets for self-service analysis.
  
• Experience with, or strong aptitude for RPA and automation tools.
  
• Strong analytical skills, with the ability to translate data into clear, executive-ready presentations and insights.
  
• Excellent written and verbal communication skills in English.
  
• Ability to work autonomously and manage multiple data sources and stakeholders simultaneously.