Aviation Data Analyst - Levels

Aviation Data Analyst – Multiple Levels

Join to apply for the Aviation Data Analyst - Multiple Levels role at Noblis
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Noblis has been providing specialized engineering, acquisition, and program management services to the Federal Aviation Administration (FAA) for over 25 years, playing a key role in the acquisition and implementation of mission‑critical systems and capabilities across the Air Traffic Organization (ATO) and the Office of Next Gen (ANG). As part of our team, you will contribute to projects that streamline the acquisition and deployment of next‑generation air traffic management and surveillance systems, improve airport infrastructure, and support the integration of unmanned aircraft systems and commercial space ventures.

• 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.

• 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.

• Minimum of 15 years’ experience with a 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 a related field may be substituted for the bachelor’s degree and 3 years’ experience.
• PhD in a related field may be substituted for the bachelor’s degree and 7 years’ experience.
• Compensation Range: $103,950 – $240,350.

• Minimum of 10 years’ experience with a 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 a related field may be substituted for the bachelor’s degree and 3 years’ experience.
• PhD in a related field may be substituted for the bachelor’s degree and 7 years’ experience.
• Compensation Range: $78,120 – $180,525.

• Minimum of 2 years’ experience with a 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 a related field may be substituted for the bachelor’s degree and 3 years’ experience.
• PhD in a related field may be substituted for the bachelor’s degree and 7 years’ experience.
• Compensation Range: $53,280 – $135,625.

• Advanced degree in Mathematics, Data Science, Business Analytics, Statistics, Computer Science, or Information Systems.
• Experience designing and implementing sustainable Business Intelligence solutions (e.g., Tableau, Power BI, D3.js) in an operational environment.
• Experience with Big Data technologies and platforms such as Apache Hadoop, Apache Spark, and No
  
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