Work with real-world datasets to clean, transform, and analyze data using Python and spreadsheets; perform exploratory analysis, develop data models, support client reporting, and communicate insights to cross-functional teams to drive e-commerce decisions.

Lead cross-functional special projects to improve air network planning and scheduling using optimization models, automation, and analytics. Design and deploy tools and scripts, integrate solutions with scheduling systems, pilot innovations, and enable operational teams. Act as strategic advisor to planning leadership and document standards and best practices for sustainable adoption.

Gather and analyze business and risk user requirements; produce functional designs and specifications for market risk systems; assess impacts; create and execute test plans (UAT, regression, simulation); support BAU including data sourcing, extraction, and analysis for Market and Liquidity Risk Data Store; manage delivery timelines.