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Analyst - Cargo Business Intelligence

United Airlines
3 days ago
Full-time
On-site
Chicago, IL, United States
$66,500 - $86,616 USD yearly
Indeed

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description We’re not just in the business of transporting people. We’re also in the business of moving cargo. As a major provider of air freight services, our Cargo team transports everyday electronics and automotive parts, to perishable goods, life-saving organs, vaccines and even baby formula. And in turn, we help keep businesses, communities, and global economies running. With so many career options – from Marketing to Finance, Logistics to Data Analytics, and more – you can build a career within a career and gain exposure to so many areas of our airline’s important role in the global supply chain. Join our team and watch your uniquely United career journey unfold. About the Job The Analyst - Cargo Business Intelligence role supports operational and strategic decision-making for cargo revenue recovery through data analysis, reporting, and business intelligence solutions. This position collects, models, interprets, and analyzes disputes and collections data to identify trends, explain variances, and determine the root causes behind recurring cases. The role supports resolution of disputes and claims, participates in customer-facing collection calls, and partners with stakeholders across the organization to deliver actionable insights, maintain high-quality data, and develop reporting tools that support data-driven decisions. This is an excellent opportunity for an analytical professional looking to broaden capabilities while contributing to impactful business initiatives. Key Responsibilities Maintain and improve data quality by cleaning, updating, and dispute, claims, and collections datasets to ensure accurate and reliable analytical outcomes. Extract, analyze, and interpret billing, payment, operational, and case data to provide actionable business insights that support strategic initiatives. Design and develop dashboards, reports, and data visualizations that make dispute, claims and receivable performance visible to Cargo Leadership and enable informed decision making. Analyze trends, variances, and performance metrics across disputes, collections and claims portfolio to identify improvement opportunities and support business performance discussions. Partner with cross-functional stakeholders to participate in customer-facing collection calls, translating account level analysis into clear positions on outstanding balances. Support business intelligence projects through data modeling, reporting development, and analytics execution under established guidelines. Apply data mining, statistical analysis, and business intelligence techniques to solve business problems and enhance performance monitoring. Contribute to ongoing improvements in reporting processes, analytics methodologies, and data governance practices. Note: This is a Chicago-based hybrid role with in-office requirements 50% of the time. Qualifications Minimum Qualifications 1+ years of experience in business intelligence, data analytics, reporting, or a related analytical discipline Bachelor's degree or equivalent analytical experience Experience working with data analysis, statistical analysis, and business intelligence reporting Knowledge of data visualization, data modeling, database management, and data mining Strong skills in business analysis, requirements management, and communicating data-driven insights Proficient in Microsoft Excel Must be legally authorized to work in the United States for any employer without sponsorship Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position Preferred Qualifications Experience with programming or…

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