Sr. Research/Data Analyst

Abacus Technology Corporation

Fairborn (OH)

Presencial

USD 110 000 - 160 000

Tempo integral

Há 5 dias
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Resumo da oferta

Abacus Technology Corporation seeks a Sr. Research/Data Analyst to support Wright Patterson AFB programs. The role emphasizes data collection, validation of maintenance data, and collaboration with USAF teams to improve data quality and outcomes.

Candidates should have extensive DoD experience, strong data analysis and visualization skills, and proficiency in Python, JMP, MATLAB, Tableau and Excel. A US citizen with a clearance is preferred.

Qualificações

  • 15+ years of experience in research and data analysis.
  • At least 5 years in a DoD environment.
  • Bachelor’s degree in a quantitative field.
  • Ability to design, build and communicate findings using visualization techniques.

Responsabilidades

  • Collect data from USAF systems, identify trends and report with graphs and spreadsheets.
  • Validate accuracy of USAF maintenance data (G081, PDMSS, LEAP) to ensure meaningful outputs.
  • Collaborate with USAF organizations to improve data inputs and outcomes.
  • Develop mathematical models and computer programs (e.g., Python, JMP, MATLAB) for evaluation and prediction of aircraft performance.
  • Perform data analysis to identify operational patterns and metrics related to mission objectives.

Conhecimentos

Data analysis
Visualization
Communication
Problem solving

Formação académica

Bachelor’s degree in mathematics, computer science, engineering or physical sciences

Ferramentas

Tableau
Excel
Python
JMP
MATLAB
Simio
VBA

Descrição da oferta de emprego

Overview

Abacus Technology is seeking a Sr. Research/Data Analyst to support technical and acquisition programs at Wright Patterson AFB. This is a full-time position.

Responsibilities
  • Collect data from various USAF operating systems, identify positive and negative trends and report detailed information using graphs, charts, and spreadsheets.
  • Examine and validate the accuracy of the USAF maintenance data to include G081, Program Depot Maintenance Scheduling System (PDMSS), and Logistics Evaluation Assurance Program (LEAP) to ensure that it produces meaningful information.
  • Collaborate and coordinate with USAF organizations to improve the accuracy of data inputs to ensure desired outcomes.
  • Utilize scientific inquiry in the independent development of mathematical models and computer programs to evaluate and predict aircraft parameter performance, JMP, MATLAB, Simio, Python, VBA.
  • Perform data analysis to identify operational patterns and performance metrics relevant to mission objectives.
Qualifications

15+ years experience in research and data analysis including at least 5 years working in a DoD environment. Bachelor’s degree from an accredited institution in mathematics, computer science, one of the physical sciences, engineering or a closely-related scientific discipline. Knowledge of quantitative techniques and methods used to develop, adapt, modify, and apply models to resolve problems or define and clarify alternative solutions. Able to participate in study teams; originate new ideas, projects, and methodologies; and execute projects and/or studies within established financial and/or time constraints. Able to design, build, and communicate findings using visualization techniques. Experience with Tableau preferred. Able to develop, maintain, and analyze data sets using MS Excel. Able to utilize Python for data cleaning, transformation, and automation. Capable of working with the technical or engineering teams to ensure proper support. Must be detail oriented, have excellent problem-solving and analytical abilities, and able to negotiate complex issues. Must have good communications skills and be able to work professionally with all levels of an organization. Must be a US citizen and hold a current Secret clearance.

Applicants selected will be subject to a U.S. government security investigation and must meet eligibility requirements for access to classified information.

EOE/M/F/Vet/Disabled

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