Business Intelligence Engineer – Aviation Carrier Analytics & Cost Automation

Role Overview

We are seeking a Business Intelligence Engineer to support aviation carrier analytics, spend management, and cost automation initiatives within a global air cargo and transportation network. This role will focus on designing scalable reporting and rate card solutions that improve how carrier costs, airport fees, fuel charges, and operational spend are analyzed and managed across international operations. The ideal candidate will have strong experience working with large and complex datasets, building automated reporting solutions, and leveraging AI-powered tools to improve data collection, normalization, and operational efficiency.

This is a highly visible opportunity to help modernize and automate critical aviation financial and operational processes.

• Research, collect, and consolidate operational and pass-through cost data including landing fees, takeoff charges, parking, navigation, pilot services, fuel costs, and related aviation expenses
• Build and maintain comprehensive rate cards covering air carriers and airport operations across multiple global regions
• Design scalable data structures and reporting frameworks for ongoing operational and financial analysis
• Leverage AI-powered tools and automation technologies to accelerate data collection, validation, enrichment, and normalization
• Develop sustainable, low-maintenance reporting mechanisms including automated data pipelines, refresh schedules, and self-service analytics tools
• Analyze carrier invoices, operational costs, and aviation fee schedules to identify trends, discrepancies, and optimization opportunities
• Support spend analysis, invoice auditing, manifest processing, and payment-related analytics initiatives
• Deliver progress updates and analytical findings to leadership and stakeholders
• Recommend process improvements that enhance data quality, reporting accuracy, and operational efficiency
• Partner with cross-functional teams supporting aviation operations, analytics, finance, and supply chain initiatives

• Collaborative onsite environment with strong partnership across analytics and operational teams
• Opportunity to work closely with stakeholders managing aviation operations and transportation spend
• Exposure to large-scale global operational datasets and complex aviation cost structures
• High-impact role supporting automation and modernization initiatives

• Strong AI and automation experience for data workflows and analytics
• Aviation ecosystem knowledge, particularly related to operational or financial data
• Experience working with large datasets and business intelligence solutions

• Experience with auditing, invoice analysis, or payment platforms
• Experience building and maintaining rate cards and spend analysis solutions
• Familiarity with aviation carrier billing structures, airport fees, or supply chain cost analysis
• Experience with generative AI or AI-powered analytics tools
• Knowledge of scripting languages such as Python or R for automation and data processing
• Experience with SQL and visualization tools such as Tableau, Power BI, or Quick Sight
• Experience creating scalable data products for non-technical stakeholders

Successful candidates typically come from backgrounds in:

• Business Intelligence Engineering
• Aviation Analytics
• Transportation Analytics
• Supply Chain Analytics
• Data Engineering
• Financial Operations Analytics

Candidates with airport, airline, logistics, freight, or transportation experience are especially strong fits, though candidates from broader data and analytics backgrounds may also succeed if they have strong technical and automation capabilities.

• 5+ years of relevant professional experience
• 3+ years of experience in business intelligence, data analysis, or data engineering
• 3+ years working with large, structured, semi-structured, or unstructured datasets

• Bachelor’s degree in Business, Data Science, Computer Science, Statistics, or a related field

• Strong analytical and automation mindset
• Comfortable working with operational and financial datasets at scale
• Able to independently build scalable reporting and analytics solutions
• Effective communicator capable of presenting analytical findings to leadership
• Strong attention to detail with experience improving manual processes through automation
• Curious and proactive in identifying opportunities for operational improvement