At Southwest®, everything we do—from our smiling People to our policies—is designed to let you go with Heart. No matter what comes up in your travels, we’ve got your back. Because while any airline can fly you, only Southwest lets you go with Heart.

All of Southwest’s People come together to deliver on our Purpose; Connecting People to what’s important in their lives through friendly, reliable, and low-cost air travel. The Senior Big Data Analyst delivers on our Purpose by serving as an internal consultant and subject matter expert responsible for leading the end-to-end life cycle of data management on various platforms, volumes, variety, and velocity of data. This role is responsible for understanding complex business problems and helping to translate business outcomes into data needs. This role is also responsible for procuring data and performing thorough data analysis to identify patterns to aid with data science, machine learning, and artificial intelligence development. The Senior Big Data Analyst has an analytical mindset and looks forward to the opportunity to be part of meaningful and impactful initiatives and drive the future of Southwest.

Additional details:

• The culture of Southwest Airlines means we embrace a flexible workplace and value the camaraderie, collaboration, and innovation that occurs when we come together and interact face-to-face at our vibrant Corporate Campus. This role is a hybrid position based out of our Corporate Campus in Dallas, TX, which requires Employees to work onsite on our Corporate Campus at least three days a week. The Department designates the specific three days of the week Employees must work on-site.

Southwest Airlines is an Equal Opportunity Employer. We continue to look for opportunities to reflect the communities we serve, and welcome applicants with diverse thoughts, backgrounds, and experiences.

Responsibilities

• Leads complex self-service data integration projects that bring together data from disparate sources in order to make it available to business customers such as data scientists, analysts, and analytic users
• Leads informal teams to apply advanced data integration methodologies and tools to massive data sets in order to create solutions which can be utilized in descriptive, diagnostic, predictive, and prescriptive analytics
• Drives interaction with functional leaders across multiple and concurrent projects
• Drives formulation and communication of solutions and options
• Serves as a subject matter leader for data assets and monitors the ongoing effectiveness of data assets in use by business customers in self-service environments
• Supports the ongoing development of the Southwest Airlines data science center and community
• May perform other job duties as directed by Employee's Leaders

Knowledge, Skills and Abilities

• Advanced knowledge of both inductive and deductive reasoning and problem solving approaches
• Advanced Knowledge in evaluating appropriate data analytics and statistic method(s) for a business problem
• Knowledge in developing plans and leading moderately or highly complex data integration projects including acting as a functional leader in stakeholder meetings, solution definition and planning, detailed task and deliverable definition and creation, and project schedule creation
• Skilled in one or more data programing languages and open source tools
• Skilled in one or more data integration and business intelligence tools
• Skilled in technology platforms and architectures applicable to developing and maintaining self-service data assets
• Skilled critical thinking and project management skills
• Ability to lead communications in an engaging way with strong verbal and written communication skills for technical and non-technical audiences up to and including cross-functional leaders
• Ability to adjust well to a variety of situations and change approaches/methodology if necessary in order to effectively and successfully meet objectives
• Ability to mentor team members on data integration methodologies and tools

Education

• Required: High School Diploma or GED
• Required: Bachelor's Degree in Mathematics, Computer or Data Sciences, Information Technology or similar fields of study; or equivalent advance level experience

Experience

• Expert level experience, expansive and far reaching knowledge in:
• Data analysis, advanced analytics, data science, machine learning, artificial intelligence, or optimization project experience
• Data pipeline, data science and/or relevant programming
• Visualization and presentation development and delivery
• Solving ambiguous and complex problems through a systems thinking approach
• Preferred: Experience in Python, SQL, ETL (Alteryx, Informatica, Ab Intio, AWS Glue),
• Preferred: Experience in AWS: AWS S3, AWS Sagemaker, AWS Redshift

Licensing/Certification

• N/A

Physical Abilities

• Ability to perform work duties from [limited space workstation/desk/office area] for extended periods of time
• Ability to communicate and interact with others in the English language to meet the demands of the job
• Ability to use a computer and other office productivity tools with sufficient speed and accuracy to meet the demands of the job

Other Qualifications

• Must maintain a well-groomed appearance per Company appearance standards as described in established guidelines
• Must be a U.S. citizen or have authorization to work in the United States as defined by the Immigration Reform Act of 1986
• Must be at least 18 years of age
• Must be able to comply with Company attendance standards as described in established guidelines
• Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information