{"id":25529016,"date":"2022-06-19T02:26:53","date_gmt":"2022-06-18T20:56:53","guid":{"rendered":"https:\/\/entri.app\/blog\/?p=25529016"},"modified":"2023-11-23T10:51:16","modified_gmt":"2023-11-23T05:21:16","slug":"difference-between-data-scientist-and-data-analyst","status":"publish","type":"post","link":"https:\/\/entri.app\/blog\/difference-between-data-scientist-and-data-analyst\/","title":{"rendered":"Difference Between Data Scientist and Data Analyst"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_79_2 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-69e764aca276c\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-69e764aca276c\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/entri.app\/blog\/difference-between-data-scientist-and-data-analyst\/#Data_Analytics_vs_Data_Science\" >Data Analytics vs. Data Science<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/entri.app\/blog\/difference-between-data-scientist-and-data-analyst\/#Working_in_Data_Analytics\" >Working in Data Analytics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/entri.app\/blog\/difference-between-data-scientist-and-data-analyst\/#Characteristics_of_Data_Analysts\" >Characteristics of Data Analysts<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/entri.app\/blog\/difference-between-data-scientist-and-data-analyst\/#Working_in_Data_Science\" >Working in Data Science<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/entri.app\/blog\/difference-between-data-scientist-and-data-analyst\/#Choosing_Between_a_Data_Analytics_and_Data_Science_Career\" >Choosing Between a Data Analytics and Data Science Career<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/entri.app\/blog\/difference-between-data-scientist-and-data-analyst\/#Which_data_career_is_right_for_you\" >Which data career is right for you?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/entri.app\/blog\/difference-between-data-scientist-and-data-analyst\/#Data_Scientist_vs_Data_Analyst_Salary\" >Data Scientist vs Data Analyst Salary<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/entri.app\/blog\/difference-between-data-scientist-and-data-analyst\/#Summary\" >Summary<\/a><\/li><\/ul><\/nav><\/div>\n<p>Dan Ariely, a well-known behavioral economics expert, once said about big data: \u201cEveryone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it.\u201d<\/p>\n<p>This concept applies to a great deal of data terminology. While many people toss around terms like \u201cdata science,\u201d \u201cdata analysis,\u201d \u201cbig data,\u201d and \u201cdata mining,\u201d even the experts have trouble defining them. Here, we focus on one of the more important distinctions as it relates to your career: the often-muddled difference between data analytics and data science.<\/p>\n<p><a href=\"https:\/\/entri.app\/course\/python-programming-course\/\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-25520910 size-full\" src=\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Square.png\" alt=\"Python and Machine Learning Square\" width=\"345\" height=\"345\" srcset=\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Square.png 345w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Square-300x300.png 300w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Square-150x150.png 150w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Square-24x24.png 24w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Square-48x48.png 48w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Square-96x96.png 96w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Square-75x75.png 75w\" sizes=\"auto, (max-width: 345px) 100vw, 345px\" \/><\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Data_Analytics_vs_Data_Science\"><\/span><strong>Data Analytics vs. Data Science<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>While data analysts and data scientists both work with data, the main difference lies in what they do with it.<\/p>\n<p><strong>Data analysts<\/strong>\u00a0examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions.<\/p>\n<p><strong>Data scientists<\/strong>, on the other hand, design and construct new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Working_in_Data_Analytics\"><\/span><strong>Working in Data Analytics<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The responsibility of data analysts can vary across industries and companies, but fundamentally,\u00a0data analysts utilize data to draw meaningful insights and solve problems. They analyze well-defined sets of data using an arsenal of different tools : e.g. why sales dropped in a certain quarter, why a marketing campaign fared better in certain regions,etc.<\/p>\n<p>Data analysts have a range of\u00a0fields and titles, including (but not limited to) database analyst,\u00a0business analyst, market research analyst, sales analyst, financial analyst, marketing analyst, advertising analyst, customer success analyst, operations analyst, pricing analyst, and international strategy analyst. The best data analysts have both technical expertise and the ability to\u00a0communicate quantitative findings to non-technical colleagues or clients.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Characteristics_of_Data_Analysts\"><\/span><strong>Characteristics of Data Analysts<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Data analysts can have a background in mathematics and statistics, or they can supplement a non-quantitative background by learning the tools needed to make decisions with numbers. Some data analysts choose to pursue an advanced degree, such as a\u00a0master\u2019s in analytics, in order to advance their careers.<\/p>\n<h4 style=\"text-align: center;\"><strong><a href=\"https:\/\/entri.app\/course\/data-science-and-machine-learning-course\/\" target=\"_blank\" rel=\"noopener\">Grab the opportunity to learn Data Science with Entri! Click Here<\/a><\/strong><\/h4>\n<h3><strong>Skills and Tools<\/strong><\/h3>\n<p>Top\u00a0data analyst skills\u00a0include data mining\/data warehouse, data modeling,\u00a0R\u00a0or SAS,\u00a0SQL, statistical analysis, database management &amp; reporting, and data analysis.<\/p>\n<h3><strong>Roles and Responsibilities<\/strong><\/h3>\n<p>Data analysts are often responsible for designing and maintaining data systems and databases, using statistical tools to interpret data sets, and preparing reports that\u00a0effectively communicate trends, patterns, and predictions based on relevant findings.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Working_in_Data_Science\"><\/span><strong>Working in Data Science<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Data scientists, on the other hand, estimate the unknown by asking questions, writing algorithms, and building statistical models.\u00a0The main difference between a data analyst and a data scientist is heavy coding. Data scientists can arrange undefined sets of data using\u00a0multiple tools\u00a0at the same time, and build their own automation systems and frameworks.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Choosing_Between_a_Data_Analytics_and_Data_Science_Career\"><\/span><strong>Choosing Between a Data Analytics and Data Science Career<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Once you have a firm understanding of the differences between data analytics and data science\u2014and can identify what each career entails\u2014you can start evaluating which path is the right fit for you. To determine which path is best aligned with your personal and professional goals, you should consider three key factors.<\/p>\n<h3><b>1. Consider your personal background.<\/b><\/h3>\n<p>While data analysts and data scientists are similar in many ways, their differences are rooted in their professional and educational backgrounds.<\/p>\n<p>As mentioned above, data analysts examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make\u00a0more strategic decisions. To align their education with these tasks, analysts typically pursue an undergraduate degree in a science, technology, engineering, or math (STEM) major, and sometimes even an advanced degree in analytics or a related field.\u00a0They also seek out experience in math, science,\u00a0programming, databases, modeling, and\u00a0predictive analytics.<\/p>\n<p>Data scientists, on the other hand, are more focused on designing and constructing new processes for data modeling and production. Because they use a variety of techniques like data mining and machine learning to comb through data, an advanced degree such as a master\u2019s in data science is essential for professional advancement.<\/p>\n<p>When considering which career path is right for you, it\u2019s important to review these educational requirements. If you have already made the decision to\u00a0invest in your career\u00a0with an advanced degree, you will likely have the educational and experiential background to pursue either path. On the other hand, if you\u2019re still in the process of deciding if\u00a0going back to school\u00a0is right for you, you may be more inclined to stick with a data analytics role, as employers are more likely to consider candidates without a master\u2019s degree for these positions.<\/p>\n<table>\n<tbody>\n<tr>\n<td style=\"text-align: center;\" colspan=\"3\">\n<h5><span style=\"color: #ffffff;\"><strong>Are you aspiring for a booming career in IT? If YES, then dive in<\/strong><\/span><\/h5>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<h5><a href=\"https:\/\/entri.app\/course\/full-stack-developer-course\/\"><strong>Full Stack Developer Course<\/strong><\/a><\/h5>\n<\/td>\n<td>\n<h5><a href=\"https:\/\/entri.app\/course\/python-programming-course\/\"><strong>Python Programming Course<\/strong><\/a><\/h5>\n<\/td>\n<td>\n<h5><a href=\"https:\/\/entri.app\/course\/python-programming-course\/\"><strong>Data Science and Machine Learning Course<\/strong><\/a><\/h5>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3><strong>2. Consider your interests.<\/strong><\/h3>\n<p>Are you excited by numbers and statistics, or do your passions extend into computer science and business?<\/p>\n<p>Data analysts love numbers, statistics, and programming. As the gatekeepers for their organization\u2019s data, they work almost exclusively in databases to uncover data points from complex and often disparate sources. Data analysts should also have a comprehensive understanding of the industry they work in. If this sounds like you, then a data analytics role may be the best professional fit for your interests.<\/p>\n<p>Data scientists are required to have a blend of math, statistics, and computer science, as well as an interest in the business world.<\/p>\n<p>Either way, understanding which career matches your personal interests will help you get a better idea of the kind of work that you\u2019ll enjoy and likely excel at. Be sure to take the time and think through this part of the equation, as\u00a0aligning your work with your interests\u00a0can go a long way in keeping you satisfied in your career for years to come.<\/p>\n<h4><strong><a href=\"https:\/\/entri.app\/course\/data-science-and-machine-learning-course\/\" target=\"_blank\" rel=\"noopener\">\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Grab the opportunity to learn Data Science with Entri! Click Here<\/a><\/strong><\/h4>\n<h3><strong>3. Consider your desired salary and career path.<\/strong><\/h3>\n<p>Different levels of experience are required for data scientists and data analysts, resulting in different levels of compensation for these roles.<\/p>\n<p>Data analysts have an earning potential of between\u00a0$83,750 and $142,500. Since these professionals work mainly in databases, however, they are able to\u00a0increase their salaries\u00a0by learning additional programming skills, such as R and Python.<\/p>\n<p>However, data analysts with more than 10 years of experience often maximize their earning potential and move on to other jobs. Two common career moves ,after the acquisition of an advanced degree, include transitioning into a developer role or data scientist position.<\/p>\n<p>Data scientists, who typically have a graduate degree, boast advanced skills, and are often more experienced, are considered more senior than data analysts. As such, they are often better compensated for their work.<\/p>\n<p>The career trajectory for professionals in data science is positive as well, with many opportunities for advancement to\u00a0senior roles\u00a0such as data architect or data engineer.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Which_data_career_is_right_for_you\"><\/span><strong>Which data career is right for you?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Data analysts and data scientists have job titles that are deceptively similar given the many differences in role responsibilities, educational requirements, and career trajectory.<\/p>\n<p>Once you have considered factors like your background, personal interests, and desired salary, you can decide which career is the right fit for you and get started on your path to success.<\/p>\n<h2 id=\"a8f5\" class=\"pw-post-title ja jb jc bn jd je jf jg jh ji jj jk jl jm jn jo jp jq jr js jt ju jv jw jx jy gc\"><span class=\"ez-toc-section\" id=\"Data_Scientist_vs_Data_Analyst_Salary\"><\/span><strong>Data Scientist vs Data Analyst Salary<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"10c4\" class=\"lh li jc bn lj lk ll lm ln lo lp lq lr ki ls kj lt kl lu km lv ko lw kp lx ly gc\"><strong>Data Scientist<\/strong><\/h3>\n<blockquote class=\"wj wk wl\">\n<p id=\"6e9f\" class=\"vq vr ul mb b mc wd kd vs me we kg vt wm wf vv vw wn wg vy vz wo wh wb wc mm iv gc\" data-selectable-paragraph=\"\">Here are some of the expected titles you can see as a data scientist that might have a significant change in salary as well:<\/p>\n<\/blockquote>\n<p id=\"56a8\" class=\"pw-post-body-paragraph vq vr jc mb b mc wd kd vs me we kg vt mg wf vv vw mi wg vy vz mk wh wb wc mm iv gc\" data-selectable-paragraph=\"\"><strong class=\"mb jd\">Entry Level Data Scientist \u2192 Data Scientist \u2192 Senior Data Scientist<\/strong><\/p>\n<p id=\"49d6\" class=\"pw-post-body-paragraph vq vr jc mb b mc wd kd vs me we kg vt mg wf vv vw mi wg vy vz mk wh wb wc mm iv gc\" data-selectable-paragraph=\"\"><strong class=\"mb jd\">Lead Data Scientist \u2014 Data Science Manager \u2014 Data Science Director<\/strong><\/p>\n<p id=\"f25f\" class=\"pw-post-body-paragraph vq vr jc mb b mc wd kd vs me we kg vt mg wf vv vw mi wg vy vz mk wh wb wc mm iv gc\" data-selectable-paragraph=\"\">In addition to these titles, there are also some seniority levels like I, II, and III.<\/p>\n<p id=\"abf6\" class=\"pw-post-body-paragraph vq vr jc mb b mc wd kd vs me we kg vt mg wf vv vw mi wg vy vz mk wh wb wc mm iv gc\" data-selectable-paragraph=\"\">Below, I will show the range of salaries by title with their respective years required or expected.<\/p>\n<blockquote class=\"wj wk wl\">\n<p id=\"07b9\" class=\"vq vr ul mb b mc wd kd vs me we kg vt wm wf vv vw wn wg vy vz wo wh wb wc mm iv gc\" data-selectable-paragraph=\"\">Keep in mind that these roles are based on a US average<\/p>\n<\/blockquote>\n<ul class=\"\">\n<li id=\"ddde\" class=\"lz ma jc mb b mc wd me we mg wp mi wq mk wr mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Average Overall Data Scientist \u2192\u00a0<code class=\"fr wt wu wv ww b\">$96,455<\/code><\/li>\n<li id=\"759a\" class=\"lz ma jc mb b mc mr me ms mg mt mi mu mk mv mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Average Entry-Level Data Scientist \u2192\u00a0<code class=\"fr wt wu wv ww b\">$85,312<\/code>\u00a0(1 year)<\/li>\n<li id=\"9e7b\" class=\"lz ma jc mb b mc mr me ms mg mt mi mu mk mv mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Average Early-Career Data Scientist \u2192\u00a0<code class=\"fr wt wu wv ww b\">$95,121<\/code>\u00a0(1\u20134 years)<\/li>\n<li id=\"07be\" class=\"lz ma jc mb b mc mr me ms mg mt mi mu mk mv mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Average Mid-Career Data Scientist \u2192\u00a0<code class=\"fr wt wu wv ww b\">$109,696<\/code>\u00a0(5\u20139 years)<\/li>\n<li id=\"57ec\" class=\"lz ma jc mb b mc mr me ms mg mt mi mu mk mv mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Average Experienced Data Scientist \u2192\u00a0<code class=\"fr wt wu wv ww b\">$136,051<\/code>\u00a0(10\u201319 years)<\/li>\n<\/ul>\n<h3 style=\"text-align: center;\"><a class=\"btn btn-default\" href=\"https:\/\/entri.app\/course\/data-science-and-machine-learning-course\/\">GET AHEAD WITH DATA SCIENCE ONLINE PROGRAM ! ENROLL NOW !!<\/a><\/h3>\n<h3 id=\"10c4\" class=\"lh li jc bn lj lk ll lm ln lo lp lq lr ki ls kj lt kl lu km lv ko lw kp lx ly gc\"><strong>Data Analyst<\/strong><\/h3>\n<p id=\"3d24\" class=\"pw-post-body-paragraph vq vr jc mb b mc wd kd vs me we kg vt mg wf vv vw mi wg vy vz mk wh wb wc mm iv gc\" data-selectable-paragraph=\"\">Data analysts can expect to see a big range in their salaries based on several factors. Some analysts might focus more on past analysis, or static data, where some analysts might focus on predictive modeling, more similar to that of a data scientist. Because of these differences per unique job, the salaries can increase significantly from early to late in your career, as well as from adding certain skills to your knowledge base.<\/p>\n<p id=\"b575\" class=\"pw-post-body-paragraph vq vr jc mb b mc wd kd vs me we kg vt mg wf vv vw mi wg vy vz mk wh wb wc mm iv gc\" data-selectable-paragraph=\"\">If you see a data analyst job description that includes words\/skills like:<\/p>\n<ul class=\"\">\n<li id=\"2607\" class=\"lz ma jc mb b mc wd me we mg wp mi wq mk wr mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Python, R, SQL, programming, A\/B Testing, and predictive modeling (<em class=\"ul\">etc.<\/em>)<\/li>\n<\/ul>\n<p id=\"37dd\" class=\"pw-post-body-paragraph vq vr jc mb b mc wd kd vs me we kg vt mg wf vv vw mi wg vy vz mk wh wb wc mm iv gc\" data-selectable-paragraph=\"\">You can expect the position to pay more than if the job description is more focused around:<\/p>\n<ul class=\"\">\n<li id=\"7e7d\" class=\"lz ma jc mb b mc wd me we mg wp mi wq mk wr mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Excel, PowerPoint\/Google Slides, Tableau (<em class=\"ul\">etc.<\/em>)<\/li>\n<\/ul>\n<p id=\"b9c8\" class=\"pw-post-body-paragraph vq vr jc mb b mc wd kd vs me we kg vt mg wf vv vw mi wg vy vz mk wh wb wc mm iv gc\" data-selectable-paragraph=\"\">Let\u2019s dive into the various seniority levels of data analysts and their respective\u00a0salaries\u00a0[5] :<\/p>\n<ul class=\"\">\n<li id=\"1b97\" class=\"lz ma jc mb b mc wd me we mg wp mi wq mk wr mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Average Overall Data Analyst \u2192\u00a0<code class=\"fr wt wu wv ww b\">$61,754<\/code><\/li>\n<li id=\"554c\" class=\"lz ma jc mb b mc mr me ms mg mt mi mu mk mv mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Average Entry-Level Data Analyst \u2192\u00a0<code class=\"fr wt wu wv ww b\">$56,383<\/code>\u00a0(1 year)<\/li>\n<li id=\"9f7a\" class=\"lz ma jc mb b mc mr me ms mg mt mi mu mk mv mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Average Early-Career Data Analyst \u2192\u00a0<code class=\"fr wt wu wv ww b\">$61,179<\/code>\u00a0(1\u20134 years)<\/li>\n<li id=\"84bc\" class=\"lz ma jc mb b mc mr me ms mg mt mi mu mk mv mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Average Mid-Career Data Analyst \u2192\u00a0<code class=\"fr wt wu wv ww b\">$69,251<\/code>\u00a0(5\u20139 years)<\/li>\n<li id=\"fb1e\" class=\"lz ma jc mb b mc mr me ms mg mt mi mu mk mv mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Average Experienced Data Analyst \u2192\u00a0<code class=\"fr wt wu wv ww b\">$71,512<\/code>\u00a0(10\u201319 years)<\/li>\n<\/ul>\n<blockquote class=\"wj wk wl\">\n<p id=\"2632\" class=\"vq vr ul mb b mc wd kd vs me we kg vt wm wf vv vw wn wg vy vz wo wh wb wc mm iv gc\" data-selectable-paragraph=\"\">Here are some popular cities and some rural cities with their respective salary averages for mid-career data analysts:<\/p>\n<\/blockquote>\n<ul class=\"\">\n<li id=\"dcb6\" class=\"lz ma jc mb b mc wd me we mg wp mi wq mk wr mm ws mo mp mq gc\" data-selectable-paragraph=\"\">San Francisco \u2192 $98,627<\/li>\n<li id=\"7821\" class=\"lz ma jc mb b mc mr me ms mg mt mi mu mk mv mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Austin \u2192 $70,485<\/li>\n<li id=\"dc89\" class=\"lz ma jc mb b mc mr me ms mg mt mi mu mk mv mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Los Angeles \u2192 $71,487<\/li>\n<\/ul>\n<p id=\"b86b\" class=\"pw-post-body-paragraph vq vr jc mb b mc wd kd vs me we kg vt mg wf vv vw mi wg vy vz mk wh wb wc mm iv gc\" data-selectable-paragraph=\"\">There is quite a range for the same seniority level of data analysts as we can see from above. Now let\u2019s look at those same three cities and apply a filter that includes the various skills:<\/p>\n<ul class=\"\">\n<li id=\"e78b\" class=\"lz ma jc mb b mc wd me we mg wp mi wq mk wr mm ws mo mp mq gc\" data-selectable-paragraph=\"\">San Francisco \u2192 $110,000 \u2014 \u201c<strong class=\"mb jd\">Data Modeling<\/strong>\u201d<\/li>\n<li id=\"3d05\" class=\"lz ma jc mb b mc mr me ms mg mt mi mu mk mv mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Austin \u2192 $90,249 \u2014 \u201c<strong class=\"mb jd\">Python<\/strong>\u201d<\/li>\n<li id=\"4441\" class=\"lz ma jc mb b mc mr me ms mg mt mi mu mk mv mm ws mo mp mq gc\" data-selectable-paragraph=\"\">Los Angeles \u2192 $81,951 \u2014 \u201c<strong class=\"mb jd\">Statistical Analysis<\/strong>\u201d<\/li>\n<\/ul>\n<p id=\"fd17\" class=\"pw-post-body-paragraph vq vr jc mb b mc wd kd vs me we kg vt mg wf vv vw mi wg vy vz mk wh wb wc mm iv gc\" data-selectable-paragraph=\"\">These differences are huge. These are the same cities, with the same seniority level, but with an added skill that is closer to that of a data scientist or software engineer. With this information, you can see how important just a few changes in your experience can lead to a significant amount of more money or a bigger salary.<\/p>\n<h2 id=\"e114\" class=\"lh li jc bn lj lk ll lm ln lo lp lq lr ki ls kj lt kl lu km lv ko lw kp lx ly gc\"><span class=\"ez-toc-section\" id=\"Summary\"><\/span><strong>Summary<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p id=\"bbd4\" class=\"pw-post-body-paragraph vq vr jc mb b mc md kd vs me mf kg vt mg vu vv vw mi vx vy vz mk wa wb wc mm iv gc\" data-selectable-paragraph=\"\">Knowing your worth is important, and getting a better sense of the skills that you do have now, as well as the skills that you could have, can make a huge difference in your salary. With that being said, the same seniority level of data analysts or data scientists could match one anothers\u2019 salaries or exceed them, based on the skills that you have.<span id=\"590e\" class=\"gc xa li jc ww b do xe xf xg xh xi xc l xd\" data-selectable-paragraph=\"\"><\/span><\/p>\n<p data-selectable-paragraph=\"\"><a href=\"https:\/\/entri.app\/course\/python-programming-course\/\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-25522670 size-full\" src=\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Rectangle-1.png\" alt=\"Python and Machine Learning Rectangle\" width=\"970\" height=\"250\" srcset=\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Rectangle-1.png 970w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Rectangle-1-300x77.png 300w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Rectangle-1-768x198.png 768w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Rectangle-1-750x193.png 750w\" sizes=\"auto, (max-width: 970px) 100vw, 970px\" \/><\/a><\/p>\n<blockquote class=\"wj wk wl\">\n<p id=\"2f6a\" class=\"vq vr ul mb b mc wd kd vs me we kg vt wm wf vv vw wn wg vy vz wo wh wb wc mm iv gc\" data-selectable-paragraph=\"\"><em class=\"jc\">To summarize, here are some key takeaways of data science versus data analyst salaries:<\/em><\/p>\n<\/blockquote>\n<pre class=\"ks kt ku kv gz wy bt wz\"><span id=\"b936\" class=\"gc xa li jc ww b do xb xc l xd\" data-selectable-paragraph=\"\">* Average US data scientist salary $96,455\r\n\r\n<\/span><span id=\"b1d9\" class=\"gc xa li jc ww b do xe xf xg xh xi xc l xd\" data-selectable-paragraph=\"\">* Average US data analyst salary $61,754\r\n\r\n<\/span><span id=\"305e\" class=\"gc xa li jc ww b do xe xf xg xh xi xc l xd\" data-selectable-paragraph=\"\">* Data scientists can be more predictive, while data analysts can focus more on past\/static data\r\n\r\n<\/span><span class=\"gc xa li jc ww b do xe xf xg xh xi xc l xd\" data-selectable-paragraph=\"\">* Several factors contribute to salary, the most important most likely being seniority, city, and skills\r\n\r\n<\/span><\/pre>\n<h4 style=\"text-align: center;\"><strong><a href=\"https:\/\/entri.app\/course\/data-science-and-machine-learning-course\/\" target=\"_blank\" rel=\"noopener\">Grab the opportunity to learn Data Science with Entri! Click Here<\/a><\/strong><\/h4>\n<pre class=\"ks kt ku kv gz wy bt wz\"><span class=\"gc xa li jc ww b do xe xf xg xh xi xc l xd\" data-selectable-paragraph=\"\">\u00a0<\/span><\/pre>\n<h4><strong>Related Articles<\/strong><\/h4>\n<div class=\"table-responsive wprt_style_display\">\n<div class=\"table-responsive wprt_style_display\">\n<div class=\"table-responsive wprt_style_display\">\n<table class=\"table\" dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<colgroup>\n<col width=\"329\" \/>\n<col width=\"309\" \/><\/colgroup>\n<tbody>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Kerala PSC VFA Syllabus&quot;}\" data-sheets-hyperlink=\"https:\/\/entri.app\/blog\/kerala-psc-village-field-assistant-vfa-syllabus-exam-pattern\/\"><strong><a class=\"in-cell-link\" href=\"https:\/\/entri.app\/blog\/data-science-jobs-in-kerala\/\" target=\"_blank\" rel=\"noopener\">Data Science Jobs in Kerala<\/a><\/strong><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Kerala PSC VFA Mock Test&quot;}\" data-sheets-hyperlink=\"https:\/\/entri.app\/blog\/kerala-psc-vfa-free-mock-test\/\"><strong><a class=\"in-cell-link\" href=\"https:\/\/entri.app\/blog\/importance-of-data-preprocessing-in-machine-learning\/\" target=\"_blank\" rel=\"noopener\">Importance of Data Preprocessing in Machine Learning<\/a><\/strong><\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Kerala PSC VFA Exam Date&quot;}\" data-sheets-hyperlink=\"https:\/\/entri.app\/blog\/kerala-psc-vfa-exam-date\/\"><strong><a class=\"in-cell-link\" href=\"https:\/\/entri.app\/blog\/what-is-data-mining-a-complete-guide\/\" target=\"_blank\" rel=\"noopener\">What Is Data Mining?<\/a><\/strong><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Kerala PSC VFA Video Course&quot;}\"><strong><a class=\"in-cell-link\" href=\"https:\/\/entri.app\/blog\/top-data-types-of-python-python-data-types\/\" target=\"_blank\" rel=\"noopener\">Top Data Types of Python<\/a><\/strong><\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Kerala PSC VFA Application Form&quot;}\" data-sheets-hyperlink=\"https:\/\/entri.app\/blog\/kerala-psc-vfa-apply-online\/\"><strong><a class=\"in-cell-link\" href=\"https:\/\/entri.app\/blog\/what-is-data-interpretation-methods-and-benefits\/\" target=\"_blank\" rel=\"noopener\">What is Data Interpretation? 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While many people toss around terms like \u201cdata [&hellip;]<\/p>\n","protected":false},"author":111,"featured_media":25556301,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[802,1903,1864],"tags":[],"class_list":["post-25529016","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles","category-coding","category-data-science-ml"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Difference Between Data Scientist and Data Analyst - Entri Blog<\/title>\n<meta name=\"description\" content=\"The main difference between Data Scientist and Data Analyst is that Data analysts\u00a0examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions.Data scientists, on the other hand, design and construct new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/entri.app\/blog\/difference-between-data-scientist-and-data-analyst\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Difference Between Data Scientist and Data Analyst - 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