Senior Analyst - Cargo Sales Strategy

Senior Analyst - Cargo Sales Strategy

Location Chicago, Illinois, United StatesCategory CorporateJob IdWHQ00026979Airport Management & AdministrativeJob TypeFull-TimePosted Date 10/15/2026

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Description

About the Job

The Senior Analyst – Cargo Sales Strategy is responsible for collaborating with Cargo stakeholders, from senior management to frontline leaders, across Sales, Operations, Revenue Management, Finance and Contact Centers to support development and execution of the Cargo Division Strategy through data, advanced analytics, automation and emerging technologies.

Analyze business performance, identify trends and opportunities, and translate data into actionable insights to drive strategic decision-making and business performance. Oversee multimillion-dollar budgets, including forecasting and variance analysis.

Develop and maintain reporting, dashboards, KPIs and performance management tools to measure business effectiveness and support decision-making.

Identify opportunities to leverage AI, machine learning and emerging technologies to automate processes, improve analytical capabilities and develop innovative solutions.

Acquire, validate, structure and manage data; leverage SQL, Python, Databricks and other analytical tools; support predictive and prescriptive analytics.

Partner with Cargo leadership and cross-functional stakeholders to identify business needs, develop strategic initiatives and influence business decisions through data.

Lead analytical projects, optimize business processes, implement tools and provide training to drive adoption and operational efficiency.

Note: This role works a hybrid schedule with in-office requirements 50% of the time. This role will also travel up to 10% of the time.

Qualifications

Minimum Qualifications:

Bachelor’s degree in business, finance, analytics, economics or a related field

2+ years of analytics-related work experience

Experience analyzing large datasets, developing reporting solutions and generating business insights

Experience using SQL and business intelligence tools to support data analysis and reporting

Proficiency with Microsoft Excel, PowerPoint and data visualization tools such as Spotfire, Tableau or Power BI

Ability to work with large datasets using SQL to develop, validate and analyze data

Ability to translate complex data into actionable insights and communicate findings effectively

Strong analytical, problem-solving, communication and presentation skills

Strong organizational and project leadership skills with attention to detail

Ability to leverage AI-powered tools and emerging technologies to enhance analytical capabilities and productivity

Curiosity and willingness to explore innovative analytical approaches and technologies

Experience with R, Python, Databricks, Salesforce and HTML

Knowledge of business analytics, KPI development, performance measurement and data-driven decision-making

Understanding of data management, data validation, database structures and reporting principles

Understanding of financial performance, budgeting, forecasting and variance analysis

Understanding of how to translate business needs into data solutions and actionable insights

Reliable, punctual attendance is an essential function of the position

Successful completion of interview required to meet job qualification

Must be legally authorized to work in the United States for any employer without sponsorship

Preferred Qualifications:

Advanced degree in Statistics, Engineering, Data Science, Business Analytics, Information Systems, Aviation Management or a related field

2+ years of Cargo or Airline experience

Experience applying AI, machine learning or advanced analytical techniques to business challenges

Experience developing automated workflows, analytical solutions or AI-enabled reporting capabilities

Experience with statistical modeling, machine learning and predictive analytics

Experience developing AI-enabled analytical solutions and automated workflows

Experience with R, Python, Databricks, Salesforce and HTML

Experience applying generative AI tools to improve analytical productivity

Knowledge of statistical analysis, predictive and prescriptive analytics and advanced data modeling

Understanding of airline cargo operations, revenue management and industry dynamics

Knowledge of AI, machine learning and generative AI applications in business analytics

Knowledge of process optimization and intelligent automation

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.

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