Aviation Data Analyst

4 days ago

Oklahoma City, Oklahoma, United States Noblis Full time
Job Description

Noblis is seeking a highly skilled Aviation Data Analyst to support the Federal Aviation Administration (FAA) Air Traffic Systems and Surveillance Services directorates within the Program Management Organization (PMO).

The successful candidate will provide services related to managing and analyzing aviation-related data to improve operational efficiency, safety, and decision-making processes in the National Airspace System (NAS).

Responsibilities
  • Review aviation-related information to assist in decision-making about flight routes, spending practices, employee efficiency, safety, and aviation regulations, including national security.
  • Use data to make predictions and estimations related to all aspects of aviation.
  • Perform operational analysis and develop concepts of operations.
  • Analyze architecture, overall systems design, concepts of operations, and implementation plans.
  • Conduct research and analysis that meets quality standards on focused, structured questions.
  • Apply standard, routine, and well-established analytic methodologies to produce logical, traceable, objective, and unbiased analysis.
  • Collect data, create metrics, and perform associated analyses.
  • Query databases using SQL and classify and summarize data for the preparation and submission of reports.
  • Clearly document and review standard operating procedures, policies, event reports, best practices, and lessons learned.
  • Effectively communicate technical and non-technical data to various audiences.
Requirements
  • Successfully pass an FAA background investigation/verification and receive a successful final suitability determination.
  • Ability to construct effective briefings using MS PowerPoint and intermediate to advanced skills with MS Word and Excel.
  • Proficiency in analyzing, interpreting, summarizing, and presenting data effectively.
  • Skilled in programming (R or Python), statistics, SQL, data visualization, and other data analysis fundamentals.
  • Experience applying data analytic methods (Statistical Analysis, Predictive Modeling, Time Series Analysis, Geospatial Analysis, and Data Visualization) in an operational environment.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration abilities.
Education and Experience
  • Work experience that is not relevant to the labor category definition will not be considered in the "Years of Relevant Experience" calculation.
  • Senior-level: Minimum of 15 years' experience with Bachelor's degree in any field.
  • 5 years of relevant experience may be substituted for the bachelor's degree.
  • Master's degree or MBA in related field may be substituted for bachelor's degree and 3 years' experience.
  • PhD in related field may be substituted for bachelor's degree and 7 years' experience.

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