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United Airlines Senior Forecast Modeling Analyst in Chicago, Illinois

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Technical Operations/Maintenance

Technical Operations includes the maintenance, and overhaul of our aircraft. This includes aircraft maintenance technicians, engineers, planners, ground equipment and facilities teams, supply chain teams and more.

Job overview and responsibilities

The Sr. Analyst - Forecasting Modeling is responsible for the planning and execution of spare parts inventory forecasting activities supporting the United Airlines Supply Chain organization. This senior analyst position will interact with multiple supply chain areas and will development, maintain, and improve the various inventory forecasting processes and analytical tools to better support the supply chain. This role will interact very closely with the Data Science team and be responsible for the execution of scheduled and ad-hoc forecasting models.

  • Maintain, enhance and otherwise support the models for the spare parts inventory forecast and ensure they continue to stay valuable and relevant

  • Support strategic Supply Chain initiatives with analysis accompanied by actionable recommendations

  • Collaborate with stakeholders (both frontline and executive-level) to identify processes strategies, or decisions that can be improved by leveraging analytic insight

  • Monitor forecasting model performance metrics and identify operational and financial improvement opportunities

  • Individually develop and execute toward project plans

  • Continuous improvement of the forecasting tools

Required

  • Bachelor's degree

  • Minimum of one year of experience in an analytical role required

  • Demonstrated ability to develop forecasting models

  • Time-series forecasting or machine learning modeling skills

  • Executive presence (written and verbal communication)

  • Ability to communicate and visualize complex analyses to specific audiences at the appropriate level of abstraction

  • Ability to query and maninpulate data in languages such as SQL, SAS, R, Python

  • Ability to develop phased implementation plans and comfort creating and executing them

  • Ability to identify improvement opportunities in existing processes

  • Familiarity with statistical forecasting and/or machine learning modeling techniques (i.e., ARIMA, Exponential Smoothing, Croston's and Unobserved Component method)

  • Familiarity with forecasting performance metrics and model evaluation/comparison (i.e. MPE, MAPE, WMAPE)

  • Familiarity with relational database models and SQL

Preferred

  • Master's degree in a quantitative field such as math, statistics, data science, econometrics, engineering, operations research and/or MBA

  • Six Sigma Black Belt certification

  • Project management experience

  • Specialization in Supply Chain Management, Applied Statistics, Forecasting, or Data Science

  • Previous experience in operations research, industrial engineering or related field involving solving complex business problems

  • Experience with supply chain forecasting

  • Experience developing and deploying forecasting models using scripting programming languages such as R, SAS and Python

  • Two to five years of supply chain or operations experience preferred

  • Baseline understanding of supply chain functions including sourcing/procurement, vendor management, inventory planning, warehousing, and logistics.

  • Familiarity with maintenance, repair, and overhaul (MRO) functions

  • Familiarity with the airline industry

  • Some background in one or more supply chain functions

  • Familiarity with ERP systems

  • Familiarity with Multi-Echelon techniques (METRIC)

  • Applied understanding of process improvement methodologies such as lean and six sigma.

  • Experience using traditional statistical and industrial engineering techniques (e.g. inference testing, statistical process control, economic order model and process flow analysis)

  • Familiarity with spare parts demand forecasting techniques

  • Familiarity with supply chain models

  • Familiarity with supply chain and operations planning

  • Basic experience manipulating datasets using big data technologies

  • Familiarity with Simulation techniques (i.e. Monte Carlo, Discrete Event Simulation)

  • Familiarity with optimization modeling tools and techniques

Equal Opportunity Employer – Minorities/Women/Veterans/Disabled/LGBT

Division: 66 Technical Operations/Maintenance

Function: Tech Ops / Maintenance - Management & Administrative

Equal Opportunity Employer – Minorities/Women/Veterans/Disabled

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