Business Intelligence

Do you have a passion for aviation and innovation? The Business Intelligence Engineer will join the Fortune 5 client 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 the Fortune 5 client'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 the Fortune 5 client manages, benchmarks, and executes air carrier payments across its global network.Key Job Responsibilities: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 spreadsheetsDesign 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 usabilityLeverage AI-powered tools and automation to accelerate data collection, validation, and normalization — improving both speed and accuracy of deliverablesEstablish a sustainable, self-service mechanism (e.g., automated data pipelines, scheduled refreshes, or structured templates) that requires minimal ongoing maintenance after the contract period concludesProvide regular progress updates to program managers and leadership, and proactively recommend process improvements or alternative approaches to enhance data quality and operational efficiencyBasic Qualifications:Bachelor's degree in Business, Data Science, Computer Science, Statistics, or a related field, or 5+ years of equivalent professional experience3+ years of experience in business intelligence, data analysis, or data engineering3+ years of experience working with large, unstructured, or semi-structured datasets from multiple source typesExperience 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 pipelinesExperience with SQL and at least one data visualization tool (e.g., Tableau, QuickSight, Power BI)Preferred Qualifications:Experience in aviation, logistics, transportation, or supply chain industriesFamiliarity with airport charges, carrier billing structures, or aviation fee schedulesExperience with scripting languages such as Python or R for data manipulation and automationExperience creating self-sustaining data products or mechanisms designed for handoff to non-technical stakeholdersExperience communicating analytical findings and recommendations to senior leadership through written narratives