Sr. Research/Data Analyst
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Before you apply
LocationFairborn, OH, US
Work modeon-site
Typefull-time
SenioritySenior
Experience15+ yrs
Company size501–1,000 people
PostedOct 19, 2026 · 2w ago
Verified live11h ago
At a glanceSummarised by Seekless from the posting.
15+ years experience in research and data analysis
At least 5 years working in a DoD environment
Bachelor's degree 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
Able to participate in study teams; originate new ideas, projects, and methodologies
Ability to execute projects and/or studies within established financial and/or time constraints
Able to design, build, and communicate findings using visualization techniques
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
Hold a current Secret clearance
Experience with Tableau preferred
Must be a US citizen
Applicants selected will be subject to a U.S. government security investigation and must meet eligibility requirements for access to classified information
Skills
Python
MATLAB
Simio
VBA
Tableau
MS Excel
JMP
G081
PDMSS
LEAP
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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