{"id":7858,"date":"2026-03-25T09:11:07","date_gmt":"2026-03-25T13:11:07","guid":{"rendered":"http:\/\/data-mania.com\/blog\/?p=7858"},"modified":"2026-03-25T09:11:07","modified_gmt":"2026-03-25T13:11:07","slug":"reasons-not-to-become-a-data-analyst","status":"publish","type":"post","link":"https:\/\/www.data-mania.com\/blog\/reasons-not-to-become-a-data-analyst\/","title":{"rendered":"Top 5 Reasons Not to Become a Data Analyst"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"7858\" class=\"elementor elementor-7858\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-faaedb6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"faaedb6\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6157fbf\" data-id=\"6157fbf\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0576bf7 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"0576bf7\" 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 style=\"font-weight: 400;\">Are you wondering what are the reasons NOT to become a data analyst? <\/span><\/p>\n<p><span style=\"font-weight: 400;\">So, you\u2019ve heard a lot about the \u201cData Analyst\u201d job and you\u2019re wondering if it might be the next best step for you? Well, hold tight because in this article, I\u2019ll be helping you sort that out once and for all.<br>\n<\/span><\/p>\n<hr>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\"><strong>PRO-TIP:<\/strong> Learn more about data careers in my brand new article on <a href=\"https:\/\/www.data-mania.com\/blog\/ai-marketing-strategy-reshaping-analytics-careers\/\">how AI marketing is transforming analytics careers here.<\/a><\/span><\/p>\n<hr>\n<p><span style=\"font-weight: 400;\">Data Analyst work was baked into everything that I did as a Professional Engineer, before I transitioned into data science. And to be honest, even though I\u2019ve been a business owner for almost 9 years &#8211; I still do data analysis on a daily basis and it\u2019s been a big part of how we\u2019ve been able to scale my online communities to over 650k data professionals.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Data analysis is a really fast-growing career path, and for good reason &#8211; l<strong>ots of people are landing jobs and their salaries are way higher than the national average.<\/strong><\/span><\/p>\n<p><span style=\"font-weight: 400;\">But wait! Depending on your natural aptitudes, there can be a lot of drawbacks to being a data analyst. Among all the data industry hype, you seldom hear about any of the drawbacks related to any of the data career paths.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">So, my goal for this article is to give you a quick heads up on why you may NOT want to become a data analyst.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">&nbsp;<\/span><\/p>\n<p><iframe title=\"Top 5 Reasons Not to Become a Data Analyst\" src=\"https:\/\/www.youtube.com\/embed\/YmxbL0Hr3Gg\" width=\"721\" height=\"406\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" data-gtm-yt-inspected-8=\"true\"><\/iframe><\/p>\n<p>watch it on YouTube here: <a href=\"https:\/\/youtu.be\/YmxbL0Hr3Gg\" target=\"_blank\" rel=\"noopener\">https:\/\/youtu.be\/YmxbL0Hr3Gg<\/a><\/p>\n<p><em>If you prefer to read instead of watch, then read on\u2026<\/em><a href=\"https:\/\/ctt.ac\/K1PD3\" target=\"_blank\" rel=\"noopener\"><br>\n<\/a><\/p>\n<p><em>&nbsp;<\/em><\/p>\n<h2>Top 5 Reasons Not to Become a Data Analyst<\/h2>\n<h3><\/h3>\n<h3><strong>Reason #1 &#8211; You don\u2019t enjoy math!<\/strong><a href=\"https:\/\/ctt.ac\/K1PD3\" target=\"_blank\" rel=\"noopener\"><br>\n<\/a><\/h3>\n<h4><b>If you don\u2019t enjoy math &#8211; don\u2019t become a Data Analyst, period.<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">Honestly, if you\u2019re not a STEM grad, I\u2019d think twice about trying to pursue data analysis as a career path. A lot of companies are hiring non-STEM people as data analysts, but if they asked me, I would caution them against it.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I majored in engineering in college, and I even aced Statistics for Engineers, but STILL, I never realized how rusty I was in statistics until I had to start using it in my job and doing data analysis and machine learning. It took a while for me to brush up &#8211; that is despite all the years of advanced mathematical training I had.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In all honesty, when I worked as an employee, I saw A LOT of people working in an analyst type position who were completely ignorant of statistics. It was completely obvious that they didn&#8217;t know what they were doing. Ultimately, besides being embarrassing for them, this could become a huge problem for the company.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I would even go as far as to say that this could be one of the major reasons that most data analytics projects FAIL. You really need advanced mathematical and statistical skills in order to uncover data insights from the noise and that is the main function of a data analyst.<\/span><a href=\"https:\/\/ctt.ac\/K1PD3\" target=\"_blank\" rel=\"noopener\"><br>\n<\/a><\/p>\n<h4><b>Can this skill set be acquired?<\/b><a href=\"https:\/\/ctt.ac\/K1PD3\" target=\"_blank\" rel=\"noopener\"><br>\n<\/a><\/h4>\n<p><span style=\"font-weight: 400;\">Yes, BUT it takes a lot of time, practice, and you need a really good statistical and mathematical background in order to get there.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You\u2019ll want to have at least learned how to do this in college, so that when you\u2019re on the job, you can figure it out pretty quickly with some reasonable assurance that you\u2019re not completely off the mark.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">&nbsp;<\/span><\/p>\n<h3><strong>Reason #2 &#8211; You\u2019re not so hot with data<\/strong><a href=\"https:\/\/ctt.ac\/K1PD3\" target=\"_blank\" rel=\"noopener\"><br>\n<\/a><\/h3>\n<h4><span style=\"font-weight: 400;\">This might seem like a no-brainer, but <\/span><b>if you\u2019re not naturally comfortable working with data &#8211; you probably should not become a Data Analyst.<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">The thing is if you\u2019re not a data person, you may not realize that some people are just born comfortable with using spreadsheets and have been on computers their entire life. I\u2019m actually one of those people &#8211; I started using spreadsheets almost 35 years ago (yes, that\u2019s about my entire life!)&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But if you didn\u2019t start with computers and working with data and programming and spreadsheets as a small child, I don\u2019t know how naturally it will come to you.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">And if the thought of working with data already stresses you out, then just save yourself the hassle and don\u2019t become a data analyst.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Data analysis involves managing data, reformatting data, cleaning data, analyzing data and not just little data either &#8211; HUGE amounts of data. So yes, if you want to become a data analyst, you do need to be \u201cgood with data\u201d.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">On top of that, being a data analyst actually requires all sorts of other types of business skills as well, including things like: writing reports, charting and graphing, dealing with data in spreadsheets, and so on. And on top of that, TEAMWORK &#8211; you need to be really comfortable working with other data professionals in order to produce the results that are expected by your company.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">When you\u2019re not comfortable and not good at working with data, it really shows. You\u2019ll have to spend a lot of time cleaning things up and fixing mistakes &#8211; and it\u2019s highly likely that your teammates will notice. It won\u2019t be COMFORTABLE. What\u2019s worse, this type of unreliability can cost the company a lot of money, because people can\u2019t trust the results of your work, which means that your work will not be used.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">So, if you\u2019re not good with data, I\u2019d say you could probably bypass the data analyst role and you\u2019ll be better off for it.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">&nbsp;<\/span><\/p>\n<h3><strong>Reason #3 &#8211; You\u2019re looking to minimize your screen time<\/strong><\/h3>\n<p><b>If you\u2019re looking to minimize your screen time- don\u2019t become a Data Analyst.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">You\u2019re going to be on a computer all day, every day. If you work as an employee, that will be 8-9 hours on a computer all day. You\u2019re gonna have to know how to use all kinds of software applications. You\u2019re also gonna need to know how to program in Python, R and SQL. And if you don\u2019t love working on computers, then you definitely don\u2019t want to become a data analyst because that is basically the entire job. Well, it\u2019s about 80% of the job.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Don\u2019t get me wrong &#8211; you don\u2019t have to be perfectly comfortable with programming, Python and R and knowing how to use Tableau or Power BI and all of that. You can get trained up. If you just don\u2019t know how to use these applications or you don\u2019t know how to do the programming, then I would suggest that you ask your company if they would invest in some training for you to help make you a more valuable employee.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You don\u2019t have to be born (<\/span><i><span style=\"font-weight: 400;\">of course, no one is born knowing all this stuff!<\/span><\/i><span style=\"font-weight: 400;\">) &#8211; but you do have to have a passion for analytical thinking, math, computers, and data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you\u2019re working as a data analyst there is no way to get around massive amounts of screen time in your daily life.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">&nbsp;<\/span><\/p>\n<h3><strong>Reason #4 &#8211; You\u2019re not much of a talker<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">When it comes to communication requirements, data analysts are on the other side of the spectrum as engineers and designers. As a data analyst, you need to use your skills on a daily basis to understand vast complexities that you uncover within the data, but you also need to know how to communicate those insights to stakeholders, as well as to your team members. So it\u2019s really a communicative role and you should be prepared for that.<\/span><\/p>\n<blockquote><p><b>If you\u2019re not comfortable with \u201cbusiness speak\u201d and you don\u2019t really enjoy communicating with other people, then you definitely don\u2019t want to become a Data Analyst.<\/b><\/p><\/blockquote>\n<p><span style=\"font-weight: 400;\">You also want to be super skilled at translating technical talk to non-tech business language that non-technical managers can understand and use in their decision-making.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In reality, this takes a lot of creativity, and some people are not really good at coming up with interesting ways to translate complex technical findings into plain language that non-techies can \u201cget\u201d.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">&nbsp;<\/span><\/p>\n<h3><strong>Reason 5 &#8211; \u201cAnalytical Thinking\u201d isn&#8217;t in your repertoire<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">Look, getting caught up in the data &#8211; it happens.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">BUT, as a data analyst\u2026 you\u2019re goal should be to get in and get out as soon as possible, and only get the data insights you need to solve business problems. This is called<\/span> <span style=\"font-weight: 400;\">ad hoc data analysis and it\u2019s the bread and butter of the Data Analyst.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">So if you take a job as a data analyst, you should be prepared to quickly answer questions like these:&nbsp;<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">When do we need to hire new people?<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">How are people reacting to our latest update?<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">How are our products performing this month?<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">How is our website performing this quarter?<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">How are our customers interacting with our website? And what does that indicate about our customer experience?&nbsp;<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">I could go on, and on\u2026&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Quickly coming up with accurate answers to questions like this requires that you\u2019re pretty much an analytical badass. You\u2019ll have to be able to quickly understand what the data is telling you and to quantify relationships between variables in that data. <\/span><\/p>\n<blockquote><p><b>If you\u2019re not a natural analytical thinker, you won\u2019t love being a data analyst.<\/b><a href=\"https:\/\/ctt.ac\/K1PD3\" target=\"_blank\" rel=\"noopener\"><br>\n<\/a><\/p><\/blockquote>\n<p><br><br>Rethinking your career path in data? The field is shifting fast &#8211; away from pure analysis toward growth engineering and GTM systems. <a href=\"https:\/\/www.data-mania.com\/growth-metrics-os-email-course\/\">See what fractional CMO work actually looks like inside this free 6-day mini-course \u2192<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Are you wondering what are the reasons NOT to become a data analyst? So, you\u2019ve heard a lot about the \u201cData Analyst\u201d job and you\u2019re wondering if it might be the next best step for you? Well, hold tight because in this article, I\u2019ll be helping you sort that out once and for all. PRO-TIP: [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":7862,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"gallery","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[582],"tags":[92,461,460,501],"class_list":["post-7858","post","type-post","status-publish","format-gallery","has-post-thumbnail","hentry","category-startups","tag-analytics","tag-data","tag-data-analyst","tag-reasons-not-to-become-a-data-analyst","post_format-post-format-gallery"],"_links":{"self":[{"href":"https:\/\/www.data-mania.com\/blog\/wp-json\/wp\/v2\/posts\/7858","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.data-mania.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.data-mania.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.data-mania.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.data-mania.com\/blog\/wp-json\/wp\/v2\/comments?post=7858"}],"version-history":[{"count":13,"href":"https:\/\/www.data-mania.com\/blog\/wp-json\/wp\/v2\/posts\/7858\/revisions"}],"predecessor-version":[{"id":20431,"href":"https:\/\/www.data-mania.com\/blog\/wp-json\/wp\/v2\/posts\/7858\/revisions\/20431"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.data-mania.com\/blog\/wp-json\/wp\/v2\/media\/7862"}],"wp:attachment":[{"href":"https:\/\/www.data-mania.com\/blog\/wp-json\/wp\/v2\/media?parent=7858"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.data-mania.com\/blog\/wp-json\/wp\/v2\/categories?post=7858"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.data-mania.com\/blog\/wp-json\/wp\/v2\/tags?post=7858"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}