Overview
Business Intelligence Jobs in Bellevue, WA at Tundra Technical Solutions
Title: Business Intelligence
Company: Tundra Technical Solutions
Location: Bellevue, WA
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 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
Basic Qualifications:
- 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, QuickSight, Power BI)
Preferred Qualifications:
- 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
