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Torch Technologies, Inc.
Tracking, Filtering, EO/IR Data Analyst
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$77,898 / year median in Alabama
+11% projected growth
Job Description
Torch Technologies Thank you for your interest in employment with Torch Technologies. We are a 100% employee-owned, Certified Great Place To Work and named Best Places to Work in Huntsville/Madison County, headquartered in Huntsville, AL. Our team provides superior research, development, and engineering services to the Federal Government and Department of War. As one of the nation's top 100 defense companies, the services we provide directly support the men and women who serve our country. Our corporate mission sums up the pride our employee-owners take in the work we do: "Lighting the Pathway of Freedom". And, as a Certified Evergreen ESOP, we have made the commitment to grow and sustain our company for the next 100 years! Come grow with us! Torch Technologies is seeking an intermediate level Tracking, Filtering, EO/IR Data Analyst. The ideal candidate will have experience/expertise with electro-optical and infrared data analysis (EO/IR), image processing, and uncertainty analysis. The Data Analyst will be responsible for the analysis, interpretation, and algorithm development to support data reduction from customer test events. A well-suited candidate will be self-motivated, with demonstrated communication skills (oral and written) and capable of working both in a small team and unsupervised. As an EO/IR Data Analyst your duties will include the following, but are not limited to: Analyze EO/IR sensor data, including target detection, tracking, filtering, and signature analysis. Perform sensor data fusion and uncertainty analysis. Support multi-spectral sensor calibration and characterization. Analyze algorithms and their interaction to improve performance. Interpret data, identifying trends, and analyze results using statistical techniques.