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Aviation Data Analyst - Multiple Levels

Job in Saint Paul, Ramsey County, Minnesota, 55101, USA
Listing for: Minnesota Jobs
Full Time position
Listed on 2026-08-06
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 103950 - 240350 USD Yearly USD 103950.00 240350.00 YEAR
Job Description & How to Apply Below

Aviation Data Analyst

Noblis is seeking Aviation Data Analysts to support the Federal Aviation Administration (FAA) Air Traffic Systems and Surveillance Services directorates within the Program Management Organization (PMO). Employees 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 include:

  • 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.

Required qualifications include:

  • 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.

Educational and experience requirements vary by level:

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.
  • Compensation Ranges: $103,950 - $240,350
Mid-level
  • Minimum of 10 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.
  • Compensation Ranges: $78,120 - $180,525
Junior-level
  • Minimum of 2 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.
  • Compensation Ranges: $53,280 - $135,625

Desired qualifications include:

  • 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

    SQL Databases for the storing, processing, and managing of large structured, semi-structured, and unstructured data sets.
  • Ability to work both independently and as part of a team; proactive, solution-oriented, with exceptional time management skills.
  • FAA experience highly desired.

Locations may vary depending on location of the project. Some primary on-site locations include:
Washington D.C., Egg Harbor NJ, and Oklahoma City OK. Possibility of some roles allowing for remote/hybrid employment. All roles require U.S. citizenship or green card permanent resident who has resided in the U.S. for 3+ years. This opportunity is contingent on contract award.

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