Clean, manipulate, and analyze data to identify drivers of demand, revenue, and customer behavior
Forecast, backcast, and optimize performance models and system parameters to improve company profitability and effective in decision-making for end-users
Investigate and explain root causes and sources of variance to market/product owners
Troubleshooting across data sources, each with millions of records
Conduct independent investigations and lead support teams in solving business and data quality challenges
Work with business units and vendors to manage systems
Create and deliver presentations and training leveraging thorough system/process understanding and excellent data visualization techniques to effectively communicate with audiences from all levels of the company
Develop reporting for RM and Scheduling teams; Assist with improving and automating data, and improve reporting,
Ad hoc projects and other duties as assigned
Bachelor’s degree required; Master’s degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning, Econometrics, Physics or related Quantitative disciplines highly preferred (or equivalent level of experience)
Demonstrated ability to apply modeling, forecasting, and visualization skills to real‐world problems (preferably logistics and transportation related problems) with measured and improved outcomes
Expert‐level fluency in applying advance multivariate statistical analysis (logistic & linear regression, decision tree, cluster analysis, and ANOVA) to categorize, classify, and detect data relationship in large datasets
Experience with applying complex business logics to extract and cleanse large datasets from different data sources
Solid programming skills with knowledge of SQL, R, SAS, Python or other data‐extraction and analysis tools and programming languages
Ability to understand complex business requirements and define KPIs to measure benefits and communicate complex quantitative analysis in a clear, precise, and actionable manner
Strong grasp of revenue management theory and concepts
Experience leading diverse teams and interacting with vendors
Demonstrated familiarity with the airline or transportation industries
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.
Please view Equal Employment Opportunity Posters provided by OFCCP here.
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.