Sr Ground Support Data Consultant - HDQ
Southwest Airlines
- Location
- Dallas, Texas, United States of America
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Sponsorship
- Sponsors visa
- H-1B history
- 43 approvals (FY2023)
- Posted
- 8h ago
Skills
About this role
Department: Cargo Provo & GSE Our Company Promise We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer.
Job Description
Job Summary Ready to lead data ‑ driven innovation for Southwest’s Ground Operations? As a Senior Ground Support Data Consultant, you will lead the research and development of solutions that advance both departmental and enterprise strategic objectives . You will partner across internal and external Teams to design and deliver data ‑ driven strategies, combining analytics with insights gathered from frontline Employees. In this role, you will play a key part in building new capabilities for Ground Support Equipment, driving groundbreaking analysis that enhances operational performance and supports smarter decision ‑ making across the network. Add i t i o n a l d e t a i l s: The culture of Southwest Airlines means we value the camaraderie, collaboration, and innovation that occurs when we come together and interact face-to-face at our vibrant Corporate Campus. Due to the nature of this role, you would be required to work from our Dallas, TX headquarters facility during business hours. U.S. citizenship or current authorization to work in the U.S. required and no current or future work authorization sponsorship available . We’re committed to fair hiring practices and to making employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, disability, genetic information, or other legally protected characteristics .
Responsibilities
Design, build, and maintain interactive dashboards or reports that provide real-time insights into key performance indicators (KPIs), operational metrics, staffing levels, financial outcomes, predictions, and trends; ensure data insights are presented in an actionable manner Query complex data sets using AWS Redshift and SQL to develop operational models and analyses that provide insights into GSE performance and trends. Extract, transform, structure and load (ETL) data from third-party sources through APIs using Python, Alteryx, and AWS ETL tools, ensuring data integrity, quality, and accessibility for further analysis Build and maintain operational models to simulate scenarios, forecast performance, and assess potential risks and opportunities to support strategic decision-making. Manage and lead cross-functional initiatives, facilitating meetings with key stakeholders across all levels to ensure alignment and project success. Develop and implement statistical models to forecast performance, predict outcomes, and optimize resource allocation. Apply advanced techniques such as regression analysis, time-series forecasting, and Monte Carlo simulations to inform strategic decision-making. Analyze operational and maintenance data to identify cost-saving opportunities. Use statistical insights to recommend changes that improve the Total Cost of Ownership (TCO) for key assets or resources. Serve as a trusted advisor and thought leader within the organization, providing strategic insights and recommendations to optimize GSE operations. Conduct scenario modeling and risk assessments to evaluate potential outcomes, inform mitigation strategies, and drive decisions that reduce downtime and operational risk. Continuously evaluate and improve operational processes through data analysis and statistical insights, ensuring efficiency and effectiveness in day-to-day operations. Clearly communicate project timelines, risks, issues, and key decisions to executives