Business Intelligence Engineer

The Business Intelligence Engineer will join on a 12-month contract engagement. In this role, you will research, design, and build comprehensive rate cards for flying, fuel, and pass‑through costs for each of client Air's partner air carriers. You will work with large, complex datasets sourced from web-based platforms, industry databases, past invoice correspondence, and contractual terms to create a scalable, low-maintenance solution that continues to deliver value well beyond the contract period.

This is a high-impact opportunity to shape how client Air manages, benchmarks, and executes air carrier payments across its global network.

• Research, collect, and consolidate pass-through cost data (including landing, take-off, parking, navigation, pilot services, agricultural checks, etc.) from diverse sources such as carrier invoices, airport authority websites, government databases, and internal spreadsheets
• Design and build comprehensive rate cards covering all air carriers and airports across US, Canada, Europe, and India, determining the most effective data architecture and structure for ongoing usability
• Leverage AI-powered tools and automation to accelerate data collection, validation, and normalization improving both speed and accuracy of deliverables
• Establish a sustainable, self-service mechanism (e.g., automated data pipelines, scheduled refreshes, or structured templates) that requires minimal ongoing maintenance after the contract period concludes
• Provide regular progress updates to program managers and leadership, and proactively recommend process improvements or alternative approaches to enhance data quality and operational efficiency

• Bachelor's degree in Business, Data Science, Computer Science, Statistics, or a related field, or 5+ years of equivalent professional experience
• 3+ years of experience in business intelligence, data analysis, or data engineering
• 3+ years of experience working with large, unstructured, or semi-structured datasets from multiple source types
• Experience using AI/ML tools or generative AI to build‑out data knowledge (e.g., data extraction, classification, or enrichment)
• Experience building automated reporting solutions or data pipelines
• Experience with SQL and at least one data visualization tool (e.g., Tableau, Quick Sight, Power BI)

• Experience in aviation, logistics, transportation, or supply chain industries
• Familiarity with airport charges, carrier billing structures, or aviation fee schedules
• Experience with scripting languages such as Python or R for data manipulation and automation
• Experience creating self-sustaining data products or mechanisms designed for handoff to non-technical stakeholders
• Experience communicating analytical findings and recommendations to senior leadership through written narratives

• Claude
• Auditing and Costs Analysis
• Invoice Payment
• Manifest Processing
• Payment Platforms
• Price Analysis
• RATE CARDS
• Spend analysis
• Supply Chain Costs

We offer competitive compensation and benefits including medical, dental, vision, and retirement. The pay range for this role is $31 - $63 per hour based on qualifications and experience.