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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Analyst - Cargo Business Intelligence - **Company:** United Continental Holdings, Inc. - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $81,795.0 - $106,602.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Documentation, Data Architecture, Data Cleansing, Information Engineering, Data Governance, Data Mining, Data Structures, Data Visualization, Relational Databases, Digital Technology, Python (Programming Language), Machine Learning, Regression Analysis, NumPy, Operational Data Store, Power BI, Salesforce.Com, SQL Stored Procedures, SQL Databases, Tableau (Software), Data Processing, Freeform SQL, Prompt Engineering, Model Validation, Pandas, Information Technology, Data Analytics, Machine Learning Operations, Spotfire, Software Version Control, Data Pipelines, Alteryx, Databricks - **Published:** July 9, 2026 - **Apply:** https://dejobs.org/x/x/4B4769541709408D8E51577F626267CF/job/ ## About the Role * 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. ## Description 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. ## Related Videos - [Vectorize all the things! 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