Description

Qualifications

• Bachelor's degree in a quantitative field such as math, statistics, operations research or engineering required
• Specialization in Supply Chain Management, Applied Statistics, Forecasting
• One to three years of experience in an analytics or process improvement-oriented role required
• Proved ability to develop forecasting models
• Baseline understanding of supply chain functions including sourcing/procurement, vendor management, inventory planning, warehousing, and logistics.
• Familiarity with Line and Base maintenance planning and operations
• Familiarity with relational database models and SQL
• Familiarity with Statistical Forecasting techniques, i.e. ARIMA, Exponential Smoothing, Croston's and Unobserved Component method
• Familiarity with forecasting performance metrics, i.e. MPE, MAPE, WMAPE
• 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 Maintenance Planning process
• Executive presence (written and verbal communication)
• Experience communicating and visualizing complex analysis to specific audiences and at the appropriate level of abstraction
• Ability to develop phased implementation plans and comfort creating and executing them
• Ability to identify opportunities in existing processes where analytic insight can support improvements in quality, service and/or reductions in cost
• Must be legally authorized to work in India for any employer without sponsorship
• Must be fluent in English (written and spoken)
• Successful completion of interview required to meet job qualification
• Reliable, punctual attendance is an essential function of the position

• Master's degree in a quantitative field such as math, statistics, data science/machine learning, operations research and/or MBA preferred
• Six Sigma Black Belt certification preferred
• Project management experience preferred
• MITx SC Certification, CSCP, CPIM
• Previous experience in operations research, industrial engineering or related field involving solving complex business problems preferred
• Familiarity with ERP forecasting capabilities
• Experience developing and deploying forecasting models using scripting programming languages such as R, SAS and Python
• Familiarity with SAS Enterprise Guide and Forecast Studio
• At least two years of airline experience preferred
• Two to five years of supply chain experience preferred
• Familiarity with maintenance, repair, and overhaul (MRO) functions
• Familiarity with the airline industry
• Strong background in one or more supply chain functions
• Familiarity with ERP systems
• Familiarity with Multi-Echelon techniques (METRIC)
• Familiarity with data science and machine learning techniques
• Background in both traditional (waterfall) and agile project management methodologies
• Applied understanding of process improvement methodologies such as lean and six sigma
• Familiarity with Line and Maintenance Planning
• Familiarity with MRO planning
• Familiarity with the application of Forecast Value Added (FVA) approach
• Programming experience in a scripting language such as Python or R
• Basic experience manipulating datasets using the Apache Spark dataframe API
• Familiarity with Simulation techniques, i.e. Monte Carlo, Discrete Event Simulation
• Familiarity with optimization modeling tools and techniques