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Architect, Data Visualization

Location: AA Headquarters 1 (DFW-HDQ1)
Additional Locations: None
Requisition ID: 20016

Overview

Join us for a career with endless possibilities.

Looking for a job where a passion for innovation, a culture of teamwork, and opportunities for growth are valued and rewarded? You ve come to the right place.

You don t have to be an airline aficionado to join American Airlines. It takes more than cool planes to keep us ahead of the curve, and thanks to our team of behind the scenes professionals, we do just that. As the largest airline in the world, American Airlines is in the business of serving the global travel needs of our customers. At the core of the Company is our commitment to each customer and each employee. We are dedicated to developing and delivering what our customers value and are willing to pay for. Customer-centric planning, innovative marketing, and an exceptional customer experience are supported by a cadre of talented people.

What does it take to join us? We re glad you asked! We expect exceptional skills in your discipline and a dedication to being the best as we relentlessly pursue our goal of being not just the largest airline in the world, but also the best airline in the world.

Fortunately, we re building on almost a century of innovation and firsts in our industry and we plan to continue that tradition of excellence.

About The Job

:

As a Data Visualization Architect you will:

  • Perform coding/programing
  • Lead in development of new data mining methods, analytics and tools.
  • Lead the use of statistical simulation tools (R, Alteryx), programming languages such as Python, VBA, Java and C#, and data visualization tools such as Tableau.
  • Drive reporting programing quality and delivery integrity by paying attention to solution planning, follow-ups, thoroughness and details.
  • Perform requirements gathering
  • Develops and maintain advanced analytic models and processes
  • Develops and maintain various reports, dashboards and visualizations
  • Interface with IT to institutionalize new tools
  • Train others on new tools
  • Assist with ad-hoc analysis as needed
  • Serve as a conduit between Cabin Experience business operations and IT
  • Serve as the database ambassador that shall have a vision on driving NEF reduction through effective and accurate NEF reporting design
  • Evaluate Cabin Experience business requirements with each of the functional areas
  • Identify reporting gaps and integrate as required
  • Streamline data to maintenance workflows
  • Develop knowledge base and maintain dashboards and other analytical visualizations
  • Perform SDLC best practice by documenting new requirements, gathering data specifications, developments, testing and implementations

About The Job (Continued)

Qualifications

Required Qualifications

  • BS in Engineering, Data Science, Operations Research, Computer Science, Mathematics, related fields or equivalent experience/training
  • Demonstrated aptitude for logical analysis, problem identification, and problem solving as well as excellent interpersonal and communication skills
  • Ability to use computer-based tools and programming languages to implement solutions
  • Experience in programming languages such as R, SharePoint WebServers, SQL, HTML, Java Script, C#
  • Ability to prioritize while handle multiple responsibilities

Preferred Qualifications

  • Knowledge of functional area and maintenance applications such as SAFE, MAP, DECS, SAP, APC etc.
  • Aviation experience
  • Advanced degree (MS) in Engineering, Data Science, Operations Research, Computer Science, Mathematics
  • 2+ years experience in a technical professional environment
  • Familiarity with the airline/travel industry
  • Preference will be given to candidates with demonstrated experience in one or more of the following areas:
  • R or Python programming
  • Alteryx data blending and Tableau data visualization
  • Data Mining/Big Data concepts and tools
  • Knowledge of classification, statistical and machine learning algorithms for predictive and prescriptive analytics.
  • Ability to wrangle data from disparate sources into a comprehensive view of a business problem. Prior experience with recommender systems and/or text mining a plus.

Additional Locations: None
Requisition ID: 20016



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