Senior Analyst - Cargo Business Intelligence

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

Find your future at United! We’re reinventing what our industry looks like, and what an airline can be – from the planes we fly to the people who fly them. When you join us, you’re joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward.

Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world’s biggest route network. Connect outside your team through employee-led Business Resource Groups.

Create what’s next with us. Let’s define tomorrow together.

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.

Key Responsibilities

The Senior Analyst - Cargo Business Intelligence is a high-impact individual contributor within United Cargo's Logistics division, responsible for designing analytical frameworks that transform operational data into strategic intelligence and enable proactive risk mitigation. Reporting to the Senior Manager - Cargo Business Intelligence & Revenue Recovery, this role serves as the division's analytical center of excellence, leveraging Python, SQL, Power BI, Spotfire, Alteryx, and Salesforce CRM to build enterprise-grade dashboards, predictive models, and automated reporting pipelines. This position delivers actionable insights that optimize performance across Claims, Customer Resolution, and Revenue Recovery functions, supporting United Cargo's $1.7B revenue stream through data-driven decision-making and operational foresight.

Strategic Analytics and Proactive Risk Intelligence

Design and execute advanced analytical solutions that identify leading indicators of operational risk, including claims exposure, dispute escalation, collections deterioration, and service failures.

Develop and validate predictive models using Python, SQL, and statistical techniques (regression analysis, time series forecasting, anomaly detection, multi-variate segmentation).

Translate complex analytical outputs into executive-ready narratives and strategic recommendations that inform resource allocation and process redesign.

Serve as analytical thought partner to senior leadership on strategic initiatives, business case development, and performance improvement opportunities.

Business Intelligence and Reporting

Design and maintain enterprise-grade dashboards and operational reporting frameworks using Power BI, Spotfire, and Salesforce CRM.

Establish and govern KPI definitions, metric frameworks, and SLA reporting standards across Cargo Logistics functions.

Design data visualizations that balance analytical rigor with executive accessibility, enabling action without technical interpretation.

Proactively surface anomalies, trend deviations, and emerging risk signals to senior leadership.

Data Engineering, Automation and Pipeline Development

Design and maintain automated data pipelines and workflows using Alteryx and Python for scalable, repeatable data preparation.

Write and optimize complex SQL queries and stored procedures for data extraction, transformation, and analysis across relational databases.

Integrate disparate operational data sources (Salesforce CRM, financial systems, cargo platforms, third-party feeds) into unified analytical environments.

Predictive Modeling and Operational Prevention

Develop and maintain machine learning models for demand forecasting, claims frequency prediction, customer churn risk scoring, and process failure detection.

Validate, monitor, and retrain models to ensure sustained accuracy, applying Ops principles for production readiness and explainability.

Operationalize model outputs within Salesforce workflows, Alteryx pipelines, and reporting environments to enable preemptive intervention.

Note: This is a Chicago-based hybrid role with in-office requirements 50% of the time.

Qualifications

What’s needed to succeed (Minimum Qualifications)

• Bachelor's degree in Economics, Finance, Data Analytics, Statistics, Mathematics, Computer Science, Engineering, or related analytical field
• 2+ years of experience in an analytical role in business operations, finance, logistics, or transportation environment
• Experience developing automated reporting pipelines and analytical workflows in a complex, multi-stakeholder environment
• Experience using enterprise BI tools (Power BI, Spotfire) for dashboard design, KPI governance, and reporting
• Demonstrated proficiency with SQL, Python, and at least one enterprise BI platform (Power BI, Spotfire, or Tableau)
• Knowledge of advanced data analytics methodology, statistical modeling, predictive analytics, machine learning, and data visualization
• Deep proficiency with SQL for data extraction, transformation
• Strong working knowledge of Python for data manipulation (Pandas, NumPy), statistical analysis, and machine learning model development
• Familiarity with Alteryx for workflow development and analytics automation
• Exceptional analytical reasoning with ability to synthesize complex datasets into executive-ready strategic intelligence
• Strong written, verbal, and presentation skills with experience presenting to senior leadership
• Ability to operate independently, driving high-impact deliverables in fast-paced environment
• Cross-functional collaboration and influence skills across Finance, Sales, Operations, Digital Technology, and Accounting
• Strategic prevention mindset with ability to identify leading operational risk indicators
• 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

What will help you propel from the pack (Preferred Qualifications):

• Master's degree in Data Science, Business Analytics, Applied Mathematics, Operations Research, or related field
• Six Sigma Certification
• Lean Six Sigma Certification
• Industrial Engineering Qualification / Certification / License
• 5+ years of experience with advanced analytics
• Experience building and deploying predictive models in a production business environment
• Experience using Alteryx, Salesforce CRM analytics, or Databricks
• Experience in cargo, logistics, airline, or supply chain operations
• Experience with Data Ops and version control practices for governed, reproducible analytics workflows
• Knowledge of salesforce CRM data structures and reporting capabilities in operations or logistics context
• Knowledge in ML Ops principles including model validation, monitoring, retraining, and explainability frameworks
• Knowledge of cargo logistics operations, air cargo commercial frameworks, and supply chain risk management
• Knowledge in data governance, data quality management, and enterprise data architecture principles
• Advanced data visualization skills with ability to design dashboards for non-technical leadership audiences
• Meticulous attention to data accuracy, documentation standards, and analytical reproducibility
• Proficiency with AI-augmented analytics tools and prompt engineering techniques
• Demonstrates an understanding of the capabilities and limitations of generative AI tools and effectively leverages them to support research, analysis, content creation, and problem-solving. Apply critical thinking to validate AI-generated outputs while adhering to organizational policies for responsible AI use, data privacy, and security.

United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.

The base pay range for this role is $81,795.00 to $106,602.00. The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.

You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.

United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact JobAccommodations@united.com