{"id":2313,"date":"2024-09-14T20:22:00","date_gmt":"2024-09-14T17:22:00","guid":{"rendered":"https:\/\/astrobeam.gr\/?p=2313"},"modified":"2025-10-01T11:23:52","modified_gmt":"2025-10-01T08:23:52","slug":"data-analyst","status":"publish","type":"post","link":"https:\/\/astrobeam.gr\/en\/data-analyst\/","title":{"rendered":"Data Analyst"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"2313\" class=\"elementor elementor-2313\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7b20f94 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"7b20f94\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1dae87a elementor-widget elementor-widget-spacer\" data-id=\"1dae87a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c68bea7 elementor-widget elementor-widget-heading\" data-id=\"c68bea7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Data Analyst<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-dc32c54 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-child\" data-id=\"dc32c54\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-55ba3e1 elementor-widget elementor-widget-text-editor\" data-id=\"55ba3e1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"OYPEnA text-decoration-none text-strikethrough-none\"><b>Position description<\/b><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e49bb46 elementor-widget elementor-widget-text-editor\" data-id=\"e49bb46\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>This position will give you the opportunity to develop your skills in data collection, processing, and visualization while broadening your understanding of signal analysis, machine learning, and scientific computing. You will also become familiar with handling real radio astronomy data, contributing to the design of processes and tools that transform raw information into valuable insights for scientific and engineering applications.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-be398aa elementor-widget elementor-widget-text-editor\" data-id=\"be398aa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>Useful Skills for the Position<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1f0b103 elementor-widget elementor-widget-text-editor\" data-id=\"1f0b103\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul>\n \t<li>Good knowledge of Python (NumPy, Pandas, Astropy, PyTorch, Matplotlib).<\/li>\n \t<li>Familiarity with Git and Docker for version control and deployment.<\/li>\n \t<li>Understanding of signal processing principles.<\/li>\n<li>Basic knowledge of radio astronomy and familiarity with real radio astronomy data.<\/li>\n \t<li>Strong problem-solving and data analysis skills.<\/li>\n \t<li>Ability to work effectively in a team.<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-93a9a9b elementor-widget elementor-widget-text-editor\" data-id=\"93a9a9b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>Responsibilities<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3cd6772 elementor-widget elementor-widget-text-editor\" data-id=\"3cd6772\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li aria-level=\"1\">Developing processes for the automated collection, cleaning, and preparation of data.<\/li><li aria-level=\"1\">Designing and utilizing appropriate data structures for transformation and processing.<\/li><li aria-level=\"1\">Developing generalized and optimized analysis methods.<\/li><li aria-level=\"1\">Creating visualizations that facilitate analysis and highlight signal characteristics.<\/li><li aria-level=\"1\">Evaluating machine learning algorithms, statistical methods, and data analysis techniques.<\/li><li aria-level=\"1\">Collaborating with the team to address complex challenges and integrate data insights into projects.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c5899f6 elementor-widget elementor-widget-text-editor\" data-id=\"c5899f6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"OYPEnA text-decoration-none text-strikethrough-none\"><b>Skills You Will Develop<\/b><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-00c875d elementor-widget elementor-widget-text-editor\" data-id=\"00c875d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li><strong>Data<\/strong><strong> Engineering<\/strong>: Practical experience in building pipelines for automated data preparation.<\/li><li><strong>Signal &amp; Astronomy Data Analysis<\/strong>: A deeper understanding of the properties of signals, including radio astronomy data, and their representations.<\/li><li><strong>Scientific Computing<\/strong>: Familiarity with computational methods for handling large and complex datasets.<\/li><li><strong>Machine Learning<\/strong>: Experience in applying and testing algorithms to real-world scientific data.<\/li><li><strong>Problem Solving<\/strong>: Improved ability to address challenges in data analysis, algorithm optimization, and method generalization.<\/li><li><strong>Teamwork<\/strong>: Development of collaborative skills, communicating and contributing within a multidisciplinary team.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8aed644 wpr-button-icon-style-inline wpr-button-icon-position-right elementor-widget elementor-widget-wpr-button\" data-id=\"8aed644\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"wpr-button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\n\t\t\t\n\t\t\n\t\t<div class=\"wpr-button-wrap elementor-clearfix\">\n\t\t<a class=\"wpr-button wpr-button-effect wpr-button-none\" data-text=\"Go\" href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLScxr-bqRW6b2s3XVziu8aAE8in1felVCWvIJMUzfMwS34BsrQ\/viewform\" target=\"_blank\">\n\t\t\t\n\t\t\t<span class=\"wpr-button-content\">\n\t\t\t\t\t\t\t\t\t<span class=\"wpr-button-text\">\u039a\u03ac\u03bd\u03b5 \u03b1\u03af\u03c4\u03b7\u03c3\u03b7<\/span>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<span class=\"wpr-button-icon\"><svg class=\"e-font-icon-svg e-fas-angle-right\" viewbox=\"0 0 256 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M224.3 273l-136 136c-9.4 9.4-24.6 9.4-33.9 0l-22.6-22.6c-9.4-9.4-9.4-24.6 0-33.9l96.4-96.4-96.4-96.4c-9.4-9.4-9.4-24.6 0-33.9L54.3 103c9.4-9.4 24.6-9.4 33.9 0l136 136c9.5 9.4 9.5 24.6.1 34z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t<\/span>\n\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\n\t\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Data Analyst \u03a0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u0398\u03ad\u03c3\u03b7\u03c2 \u0397 \u03b8\u03ad\u03c3\u03b7 \u03b1\u03c5\u03c4\u03ae \u03b8\u03b1 \u03c3\u03bf\u03c5 \u03b4\u03ce\u03c3\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c0\u03c4\u03cd\u03be\u03b5\u03b9\u03c2 \u03c4\u03b9\u03c2 \u03b4\u03b5\u03be\u03b9\u03cc\u03c4\u03b7\u03c4\u03ad\u03c2 \u03c3\u03bf\u03c5 \u03c3\u03c4\u03b7 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ae, \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03bf\u03c0\u03c4\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd, \u03b4\u03b9\u03b5\u03c5\u03c1\u03cd\u03bd\u03bf\u03bd\u03c4\u03b1\u03c2 \u03c0\u03b1\u03c1\u03ac\u03bb\u03bb\u03b7\u03bb\u03b1 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03ae \u03c3\u03bf\u03c5 \u03c3\u03c4\u03b7\u03bd 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\u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03b9\u03ce\u03bd \u03ba\u03b1\u03b9 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03c9\u03bd \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bd \u03c4\u03b1 \u03b1\u03ba\u03b1\u03c4\u03ad\u03c1\u03b3\u03b1\u03c3\u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c3\u03b5 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b5\u03c2 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2. \u03a7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u0394\u03b5\u03be\u03b9\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03b7 \u0398\u03ad\u03c3\u03b7 \u039a\u03b1\u03bb\u03ae \u03b3\u03bd\u03ce\u03c3\u03b7 Python (NumPy, Pandas, Astropy, PyTorch, Matplotlib). \u0395\u03be\u03bf\u03b9\u03ba\u03b5\u03af\u03c9\u03c3\u03b7 \u03bc\u03b5 Git \u03ba\u03b1\u03b9 Docker \u03b3\u03b9\u03b1 version control \u03ba\u03b1\u03b9 \u03b1\u03bd\u03ac\u03c0\u03c4\u03c5\u03be\u03b7 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ce\u03bd. \u039a\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7 \u03b1\u03c1\u03c7\u03ce\u03bd \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03c3\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2. \u0392\u03b1\u03c3\u03b9\u03ba\u03ad\u03c2 \u03b3\u03bd\u03ce\u03c3\u03b5\u03b9\u03c2 \u03c1\u03b1\u03b4\u03b9\u03bf\u03b1\u03c3\u03c4\u03c1\u03bf\u03bd\u03bf\u03bc\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03be\u03bf\u03b9\u03ba\u03b5\u03af\u03c9\u03c3\u03b7 \u03bc\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1. \u0399\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03b5\u03c0\u03af\u03bb\u03c5\u03c3\u03b7\u03c2 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\u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03c9\u03bd \u03c0\u03c1\u03bf\u03ba\u03bb\u03ae\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b5\u03bd\u03c3\u03c9\u03bc\u03ac\u03c4\u03c9\u03c3\u03b7 \u03c4\u03c9\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03ac\u03c4\u03c9\u03bd \u03c3\u03b5 \u03ad\u03c1\u03b3\u03b1. \u0394\u03b5\u03be\u03b9\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03b8\u03b1 \u03b1\u03bd\u03b1\u03c0\u03c4\u03cd\u03be\u03b5\u03b9\u03c2 Data Engineering: \u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b5\u03bc\u03c0\u03b5\u03b9\u03c1\u03af\u03b1 \u03c3\u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03c0\u03c4\u03c5\u03be\u03b7 pipelines \u03b3\u03b9\u03b1 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b7 \u03c0\u03c1\u03bf\u03b5\u03c4\u03bf\u03b9\u03bc\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd. \u0391\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03a3\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd &amp; \u0394\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03a1\u03b1\u03b4\u03b9\u03bf\u03b1\u03c3\u03c4\u03c1\u03bf\u03bd\u03bf\u03bc\u03af\u03b1\u03c2: \u0392\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7 \u03c4\u03c9\u03bd \u03b9\u03b4\u03b9\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd \u03c3\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03c1\u03b1\u03b4\u03b9\u03bf\u03b1\u03c3\u03c4\u03c1\u03bf\u03bd\u03bf\u03bc\u03af\u03b1\u03c2. \u03a5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u0395\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b7: \u0395\u03be\u03bf\u03b9\u03ba\u03b5\u03af\u03c9\u03c3\u03b7 \u03bc\u03b5 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bc\u03b5\u03b8\u03cc\u03b4\u03bf\u03c5\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03bc\u03b5\u03b3\u03ac\u03bb\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03c9\u03bd datasets. \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ae \u039c\u03ac\u03b8\u03b7\u03c3\u03b7: \u0395\u03bc\u03c0\u03b5\u03b9\u03c1\u03af\u03b1 \u03c3\u03c4\u03b7\u03bd \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03ba\u03b1\u03b9 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae \u03b1\u03bb\u03b3\u03bf\u03c1\u03af\u03b8\u03bc\u03c9\u03bd \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1. \u0395\u03c0\u03af\u03bb\u03c5\u03c3\u03b7 \u03a0\u03c1\u03bf\u03b2\u03bb\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd: \u0391\u03bd\u03ac\u03c0\u03c4\u03c5\u03be\u03b7 \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03ce\u03c0\u03b9\u03c3\u03b7\u03c2 \u03c0\u03c1\u03bf\u03ba\u03bb\u03ae\u03c3\u03b5\u03c9\u03bd \u03c3\u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03bc\u03b5\u03b8\u03cc\u03b4\u03c9\u03bd. \u039f\u03bc\u03b1\u03b4\u03b9\u03ba\u03ae \u03a3\u03c5\u03bd\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1: \u0391\u03bd\u03ac\u03c0\u03c4\u03c5\u03be\u03b7 \u03c3\u03c5\u03bd\u03b5\u03c1\u03b3\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd \u03b4\u03b5\u03be\u03b9\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd, \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b5\u03b9\u03c3\u03c6\u03bf\u03c1\u03ac\u03c2 \u03c3\u03b5 \u03b4\u03b9\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ae \u03bf\u03bc\u03ac\u03b4\u03b1. \u039a\u03ac\u03bd\u03b5 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