{"id":170317,"date":"2023-09-09T10:04:37","date_gmt":"2023-09-09T09:04:37","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=170317"},"modified":"2023-09-09T10:06:06","modified_gmt":"2023-09-09T09:06:06","slug":"data-analyst-vs-data-scientis-unveiling-the-key-similarities-and-differences","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/data-analyst-vs-data-scientis-unveiling-the-key-similarities-and-differences","title":{"rendered":"Data Analyst vs Data Scientis: Unveiling the Key Similarities and Differences"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"170317\" class=\"elementor elementor-170317\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d92984d e-flex e-con-boxed e-con\" data-id=\"d92984d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2d2f6a4 elementor-widget elementor-widget-heading\" data-id=\"2d2f6a4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">In the era of Big Data, companies require experts who can decipher data. This is precisely the role of the data analyst and the data scientist. However, while these two professionals excel in data analysis, their roles differ within organizations. So, what are the similarities? What are the differences? Explore the data scientist vs data analyst matchup.<\/h2>\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<div class=\"elementor-element elementor-element-6165e64 e-flex e-con-boxed e-con\" data-id=\"6165e64\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2b81ab94 elementor-widget elementor-widget-heading\" data-id=\"2b81ab94\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Data analyst vs Data Scientist: Who does what?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-22ccef03 elementor-widget elementor-widget-text-editor\" data-id=\"22ccef03\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<div class=\"flex flex-grow flex-col gap-3 max-w-full\"><div class=\"min-h-[20px] flex flex-col items-start gap-3 overflow-x-auto whitespace-pre-wrap break-words\"><div class=\"markdown prose w-full break-words dark:prose-invert light\"><p>Before delving into the differences and similarities between a Data Analyst and a Data Scientist, it&#8217;s important to understand the role of each.<\/p><\/div><\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2bf406be elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"2bf406be\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/zL849MWrSag&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4bc7f0e8 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"4bc7f0e8\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-analyst-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Data Analyst Training<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-652b341c elementor-widget elementor-widget-heading\" data-id=\"652b341c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Data analyst vs Data Scientist - The role of the Data Scientist<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-79fcd6d7 elementor-widget elementor-widget-text-editor\" data-id=\"79fcd6d7\" data-element_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<p>The <strong>Data Scientist<\/strong> is the expert in the field of data science. They are responsible for modeling massive volumes of data to facilitate decision-making.<\/p><p>To fulfill this mission, the Data Scientist creates algorithms, automation systems, and <a href=\"https:\/\/datascientest.com\/en\/framework-what-is-it\">data frameworks.<\/a><\/p><p>This work enables them to perform predictive analyses based on data and solve complex problems. The Data Scientist&#8217;s role is at a macro level, addressing the most critical questions within the organization.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-11a3935 elementor-widget elementor-widget-heading\" data-id=\"11a3935\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Data analyst vs Data Scientist - The role of the Data Analyst<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3e371b0a elementor-widget elementor-widget-text-editor\" data-id=\"3e371b0a\" data-element_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<p>As the name suggests, the Data Analyst&#8217;s role is to analyze data. To do this, they gather data to identify trends and assist organizations in their <strong>decision-making processes.<\/strong><\/p><p>To accomplish their mission, <a href=\"https:\/\/datascientest.com\/en\/quantitative-analyst-discover-the-best-courses\">the Data Analyst primarily relies on statistics<\/a>. These statistics enable them to address specific business questions and solve problems.<\/p><p>They must also ensure they use relevant, reliable, and <a href=\"https:\/\/datascientest.com\/en\/database-what-is-it\">high-quality databases for effective analysis.<\/a><\/p><p>Therefore, the processing of the company&#8217;s data is crucial. The <a href=\"https:\/\/datascientest.com\/en\/how-to-become-a-data-analyst-your-ultimate-guide-to-making-the-leap\">Data Analyst<\/a> needs to clean the data, meaning they transform the information into the correct format, eliminate unnecessary data, or find missing data.<\/p>\t\t\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<div class=\"elementor-element elementor-element-281c72d e-flex e-con-boxed e-con\" data-id=\"281c72d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5b44a19 elementor-widget elementor-widget-heading\" data-id=\"5b44a19\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the similarities between Data Analyst vs Data Scientist?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-979211c elementor-widget elementor-widget-text-editor\" data-id=\"979211c\" data-element_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<p>The terms <strong>Data Analyst vs Data Scientist<\/strong> are often confused, and for a good reason: both professionals operate in the <a href=\"https:\/\/datascientest.com\/en\/big-data-definition-technologies-uses-and-training\">Big Data environment.<\/a><\/p><p>As we live in the information age, these two professions are particularly popular in the job market.<\/p><p>Accessibility, understanding, use, and visualization of<strong> data provide organizations with a competitive advantage.<\/strong> Whether it&#8217;s through better customer knowledge, improved supply chain management, or cost control, organizations increasingly need data experts\u2014Data Analysts and Data Scientists. These experts translate vast amounts of raw data into tools for strategic decision-making.<\/p><p><a href=\"https:\/\/datascientest.com\/en\/data-driven-definition-benefits-and-methods\">This ability to harness digital data<\/a> is reflected in similar skill sets.<\/p><p>Data Analysts and Data Scientists must master mathematics, statistics, or computer science. They have typically completed at least an undergraduate degree in one of these fields.<\/p><p>Furthermore, they must have an excellent understanding of business to provide relevant data analysis to decision-makers, not to mention <strong>strong communication skills.<\/strong><\/p><p>Finally, <strong>Data Analysts vs Data Scientists<\/strong> often work with multidisciplinary teams based on the organization&#8217;s goals. They collaborate with other experts from the IT department and also with business experts (digital marketing, product, finance, etc.) to provide analyses that closely align with the organization&#8217;s needs.<\/p><p>Despite all these similarities, Data Scientists and Data Analysts encompass two distinct professions.<\/p>\t\t\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<div class=\"elementor-element elementor-element-f991ede e-flex e-con-boxed e-con\" data-id=\"f991ede\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-11f8eced elementor-widget elementor-widget-heading\" data-id=\"11f8eced\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the differences between Data Scientist and Data Analyst?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-431c63c elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"431c63c\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/VQ4WAPP3cVs&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a127adc elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"1a127adc\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formation-data-analyst\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Devenir Data Analyst<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6e697290 elementor-widget elementor-widget-heading\" data-id=\"6e697290\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Tasks<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-61dde099 elementor-widget elementor-widget-text-editor\" data-id=\"61dde099\" data-element_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<p>While both <strong>Data Analysts<\/strong> and Data Scientists aim to extract insights from data, their daily missions differ.<\/p><p>Data Analysts are primarily focused on regular analysis and reporting. On the other hand, Data Scientists are responsible for defining predictive models that are later used by Data Analysts.<\/p><p><span style=\"text-decoration: underline;\"><strong>\ud83d\udca1In summary, the key difference is that Data Analysts deduce trends from existing data, while Data Scientists build new models to enhance predictive data analysis.\ud83d\udca1<\/strong><\/span><\/p><p>It&#8217;s worth noting that the tasks of these professionals can also vary significantly depending on the industry or type of organization they work in.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5f2c606d elementor-widget elementor-widget-heading\" data-id=\"5f2c606d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Skills<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-795f6e6d elementor-widget elementor-widget-text-editor\" data-id=\"795f6e6d\" data-element_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<p>Given the differences in the missions of <strong>Data analyst vs Data Scientists,<\/strong> they also possess distinct skill sets.<\/p><p>This is reflected in the software tools they use. Data Analysts primarily use <a href=\"https:\/\/datascientest.com\/en\/sql-tutorial-top-5-most-useful-methods\">SQL tools<\/a> to query relational databases. They may also use programming languages like R or SAS, as well as visualization tools such as Power BI or Excel.<\/p><p>On the other hand, Data Scientists rely more on Python, Java, Machine Learning, and <a href=\"https:\/\/datascientest.com\/en\/learn-ai-everything-you-need-to-know\">Artificial Intelligence (AI)<\/a> to extract insights from data. They also work with technologies like Hadoop and Spark to design Big Data architectures.<\/p><p>In addition to technical skills, <strong>Data Scientists and Data Analysts<\/strong> also differ in their soft skills.<\/p><p>Data Scientists need to demonstrate a deeper understanding of business, a strong sense of critical thinking, and a genuine spirit of innovation to create data models capable of solving complex problems.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-59a8bf8c elementor-widget elementor-widget-heading\" data-id=\"59a8bf8c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Training<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-596a9741 elementor-widget elementor-widget-text-editor\" data-id=\"596a9741\" data-element_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<p>Data Science is often more complex than analytics, which is why Data Scientists typically have a higher level of education. A significant<strong> majority of Data Scientists (94%) hold a master&#8217;s degree<\/strong> in science or mathematics, whereas Data Analysts more frequently have a bachelor&#8217;s degree (76%) in business or science.<\/p><p>In both cases, it&#8217;s possible to pursue specialized training to further enhance their skills.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-11a380c elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"11a380c\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/kNPe_pgbuHg&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5488f478 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"5488f478\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Data Science Training<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-280a187f elementor-widget elementor-widget-heading\" data-id=\"280a187f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Career<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6c2b865e elementor-widget elementor-widget-text-editor\" data-id=\"6c2b865e\" data-element_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<p>Early in their careers, <strong>Data Analysts<\/strong> primarily focus on creating reports and dashboards. Over time, their role becomes increasingly strategic.<\/p><p>In terms of future prospects, many Data Analysts move toward management roles where they oversee the work of other Data Analysts. In some cases, they may also undergo specific training to transition into the role of a Data Scientist.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5b2a2efa elementor-widget elementor-widget-heading\" data-id=\"5b2a2efa\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Salary: Data analyst vs Data Scientist<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-67de806c elementor-widget elementor-widget-text-editor\" data-id=\"67de806c\" data-element_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<p>Unsurprisingly, <strong>Data Scientists<\/strong> generally earn a higher salary than Data Analysts. This can be attributed to the increased complexity of their profession and their typically more advanced level of education.<\/p><p>In the United States, for example, a Data Scientist can earn an average of around $100,000 per year, while a Data Analyst may have an annual salary of around $60,000.<\/p><p>Please note that these figures are in the context of the United States. In France, both professionals can earn between \u20ac35,000 and \u20ac60,000 per year. However, according to our research, the lack of salary difference in Europe is often because Data Analysts and Data Scientists are still frequently confused. 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This is precisely the role of the data analyst and the data scientist. However, while these two professionals excel in data analysis, their roles differ within organizations. So, what are the similarities? What are the differences? Explore the data scientist vs data [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":170318,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2407],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Analyst vs Data Scientis: Unveiling the Key Similarities and Differences<\/title>\n<meta name=\"description\" content=\"Data Analyst vs Data Scientist: Explore the world of data careers as we dissect the roles of Data Scientists and Data Analysts\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/data-analyst-vs-data-scientis-unveiling-the-key-similarities-and-differences\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Analyst vs Data Scientis: Unveiling the Key Similarities and Differences\" \/>\n<meta property=\"og:description\" content=\"In the era of Big Data, companies require experts who can decipher data. 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