
Job Information
United Airlines Senior Analyst - Statistics and Operations Research in Chicago, Illinois
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Enterprise Optimization
Continuous Improvement and Enterprise Optimization (CIEO) focuses on how we can advance the quality and efficiency of what we do across our operations and around the world.
Overview
Provides mathematical modeling and analysis services to support critical financial, operational, and/or strategic planning decisions and engages in supporting project teams in value added activities that generate practical solutions to complex business problems, explores new business alternatives, and drives improvement in business decisions.
Meet the CIEO team:
https://www.youtube.com/watch?v=PfMzLZsHPfk
Responsibilities
Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models, using operations research, statistics, machine learning, forecasting techniques and structured programming languages
Provides on-going analytical services to client organizations
Builds mathematical modeling, forecasting, applications development, and provides client support
Leverages understanding of the business process to identify and implement solutions that will result in significant bottom-line contributions
Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups
Identifies, researches, or solves large complex problems using big data
Designs analytic plan/develop hypotheses to test; understands limitations of analysis (what it can and cannot be used for)
Understands the intuition behind the numbers (i.e. does it make sense?)
Keeps informed about the latest analytical methods and research
Communicates results to management and clients
Contributes deck content and builds the story for the deck with guidance to summarize findings
Speaks in a manner appropriate for working team and their level +1
Raises concerns when scope of analysis may not align with time available and can choose an appropriate scope of analysis to conduct balancing ROI to time available
Identifies solution quality risks and on-time risks
Understands the business value, process, and expectations before focusing on choice of a technical solution
Anticipates working team questions to data and approach
Develops and delivers presentations aligned with CIEO standards
Required
Advanced degree (MS, or PhD or ABD) in operations research, statistics, or other related quantitative discipline involving quantitative analysis and application of advanced operations research principles/statistical methods
If MS, 1.5+ years of experience applying operations research principles/statistical methods for solving complex business problems
Coursework or work experience with mathematical programming or probability/ forecasting techniques
Coursework or work experience in model prototyping through use of either optimization toolkit(s) including CPLEX, AMPL, or OPL, or statistical package(s) including SAS or SPSS, Minitab and/or BI tools
Coursework or work experience with C, C++, Java, R, Python, or other structured programming language
Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment
Good interpersonal skills and ability to interact with clients
Proficient with MS Office
Successful completion of interview required to meet job qualifications
Reliable, punctual attendance is an essential function of the position
Preferred
Minor in computer science and/or formal advanced computer science coursework preferred
Experience with Julia programming language
Knowledge of United/industry data sources
Structured programming for large-scale computer models
2+ years of professional experience in analytical field
1+ years of airline business experience
1+ years designing and programming/coding data structures for large-scale computer models
Demonstrated ability to create business value
Equal Opportunity Employer – Minorities/Women/Veterans/Disabled/LGBT
Division: 22 Enterprise Optimization
Function: Continuous Improvement Enterprise Optimization
Equal Opportunity Employer – Minorities/Women/Veterans/Disabled