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CALIBRE Systems, Inc.

Operations Research/Systems Analyst

Posted a month ago
5-10 years experience
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AI Summary

Apply mathematical modeling, optimization, and statistical analysis to improve business processes, logistics, and government operations. Collaborate with cross-functional teams to translate complex data into actionable recommendations and automated information.

CALIBRE Systems, inc., an employee-owned mission focused solutions and digital transformation company,  is seeking an experienced Operations Research/Systems Analyst with demonstrated use of methods of scientific inquiry and analysis with knowledge of applied mathematics to understand and use of the fundamental concepts and techniques of operations research methods of analysis. The Operations Research/System Analyst will require strong quantitative skills, system thinking, and the ability to translate complex data into actionable recommendations. Ideal Candidate should have strong communication and problem solving skills and participate in data collection, modeling, analysis and product generation with preferred experience with Army ERP systems.

As a CALIBRE Operations Research/System Analyst you will have the opportunity to research and experiment with data visualization, machine learning, statistics, and operations research in a cloud environment.  The ideal candidate must be passionate about helping others solve problems, gain insights, and make decisions using data and able to communicate it to a wide-ranging audience.   

Role and Responsibilities

Apply mathematical modeling, optimization, and statistical analysis to improve business processes, logistics, finance, and government operations.

Organize and translate data into useful automated information.

Experience doing data summarization, running statistical tests and model, transforming datasets, identifying outliers.

Conduct analyses including defining parameters of requested data output and analysis.

Assist in preparation of reports, briefings, and documentation deliverables.   

Use advanced mathematical, statistical, and analytical methods to help solve complex problems and make data-driven decisions.

Collaborate with managers, engineers, and other analysts, using software tools to analyze

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