{"id":77547,"date":"2024-11-20T11:19:34","date_gmt":"2024-11-20T11:19:34","guid":{"rendered":"https:\/\/www.krmangalam.edu.in\/?p=77547"},"modified":"2026-04-08T06:36:39","modified_gmt":"2026-04-08T06:36:39","slug":"careers-in-data-analytics","status":"publish","type":"post","link":"https:\/\/wp.krmangalam.edu.in\/blog\/careers-in-data-analytics\/","title":{"rendered":"Careers in Data Analytics: Everything You Need To Know"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">In recent years, the field of data analytics has emerged as one of the most sought-after career paths among the youth. As organisations across industries heavily rely on data and its analysis to make informed decisions, the demand for skilled data analysts continues to grow. In this article, we will explore the importance of data analytics and various aspects of pursuing careers in <strong><a href=\"https:\/\/www.krmangalam.edu.in\/programs\/btech-cse-in-data-science\/\" target=\"_blank\" rel=\"noopener\">data analytics<\/a><\/strong>, including job roles, and more.<\/span><\/p>\n<h2>What is Data Analytics?<\/h2>\n<p><span style=\"font-weight: 400;\">In the present time, when we talk about business decision-making or making business strategies, the term \u2018Data Analytics\u2019 is being used every now and then, and one may wonder, \u2018What is data analytics?\u2019 Let\u2019s understand what this term is.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Data analytics refers to the process of analysing data to draw out insights and make informed decisions. It involves collecting, organising, and interpreting large sets of data to identify patterns, trends, and correlations. Data analytics uses a variety of techniques, including Statistical Analysis, Machine Learning, Mathematical Formula, Correlation &amp; Causation, and Regression Analysis, to solve business problems and improve decision-making.<\/span><\/p>\n<h2>Importance of Data Analytics<\/h2>\n<p><span style=\"font-weight: 400;\">Data analytics has become the foundation for companies and organisations across industries, irrespective of their sizes. It plays a pivotal role in analysing customer behaviour, market trends, and bringing innovation, thus helping immensely in making data-driven ideal business decisions, ensuring cost reduction, customer satisfaction, improved efficiency, and increased revenue. All these make it a crucial tool for success.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It provides foundation for the following:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Informed decision making<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Making innovations<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Analysing customer behaviour\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Study market trends<\/span><\/li>\n<\/ul>\n<h2><strong>Data Science vs Data Analytics\u00a0<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">You must be wondering how Data Analytics is different from <strong><a href=\"https:\/\/www.krmangalam.edu.in\/programs\/btech-cse-in-data-science\/\">Data Science<\/a><\/strong> as they both involve working with data. Let\u2019s understand the difference between these two.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Data Analytics is majorly concerned with collecting, understanding, and analysing past data to gain insights on trends, patterns, customer behaviour, correlations, etc. The tools used for data analysts are SQL, Excel, and visualisation software.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Data Science, on the other hand, is a broader field that encompasses data analytics and other advanced techniques. It focuses on predicting future trends and discovering hidden patterns in large and complex datasets. Data scientists use machine learning algorithms, statistical modelling, and data mining techniques.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The table below shows the key difference between Data Science and Data Analytics.<\/span><\/p>\n<table style=\"height: 260px;\" width=\"1225\">\n<tbody>\n<tr>\n<td>\n<p style=\"text-align: center;\"><b>Feature<\/b><\/p>\n<\/td>\n<td style=\"text-align: center;\"><b>Data Analytics<\/b><\/td>\n<td style=\"text-align: center;\"><b>Data Science<\/b><\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Focus<\/span><\/p>\n<\/td>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Understanding past data<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Predicting future trends<\/span><\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Data Types<\/span><\/p>\n<\/td>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Primarily structured data<\/span><\/td>\n<td>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Structured and unstructured data<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Techniques<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Statistical analysis, data visualisation<\/span><\/td>\n<td>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Machine learning, AI, data mining<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Goal<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Inform decision-making<\/span><\/td>\n<td>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Discover new insights, build predictive models<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">In essence, data analytics is a subset of data science. While data analysts provide insights based on historical data, data science goes a step further to uncover hidden patterns and build predictive models that can drive innovation and growth.<\/span><\/p>\n<h2>Why Choose a Career in Data Analytics?<\/h2>\n<p><span style=\"font-weight: 400;\">The following points show why one should choose a career in data analytics.\u00a0<\/span><\/p>\n<h3>High Demand and Job Security<\/h3>\n<p><span style=\"font-weight: 400;\">The data analytics industry is growing rapidly, with organisations investing heavily in data-driven strategies. This demand generates a wealth of job opportunities with good salaries.<\/span><\/p>\n<h3>Diverse Career Paths<\/h3>\n<p><span style=\"font-weight: 400;\">Data analytics spans across all industry types.\u00a0 This allows data analytics professionals to choose roles that align with their interests and skills.<\/span><\/p>\n<h3>Scope for Innovation<\/h3>\n<p><span style=\"font-weight: 400;\">Working in data analytics often involves solving complex problems and creating innovative solutions, making it an intellectually rewarding field.<\/span><\/p>\n<h3>Excellent Future Career<\/h3>\n<p><span style=\"font-weight: 400;\">As technology advances, data continues to be at the core of business operations, ensuring long-term relevance for data analytics professionals.<\/span><\/p>\n<h2>Careers in Data Analytics<\/h2>\n<p><span style=\"font-weight: 400;\">The field of data analytics offers multiple career opportunities with good comparative salaries. The table below shows the careers in data analytics with salaries.\u00a0<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td>\n<p style=\"text-align: center;\"><b>Career<\/b><\/p>\n<\/td>\n<td style=\"text-align: center;\"><b>Job Profile<\/b><\/td>\n<td style=\"text-align: center;\"><b>Average Annual Salary Range (In Rs)\u00a0<\/b><\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Data Analyst<\/span><\/p>\n<\/td>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Analyses datasets to identify trends and insights.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Prepares reports and visualisations to support decision-making.<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">5 lakh &#8211; 8 lakh\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Business Analyst<\/span><\/p>\n<\/td>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Focuses on aligning data insights with business goals.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Works closely with management to suggest data-driven strategies.<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">3.5 lakh &#8211; 5 lakh<\/span><\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Data Scientist\u00a0<\/span><\/p>\n<\/td>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Builds predictive models using advanced statistical techniques and machine learning algorithms.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Cleans and processes raw data for analysis.<\/span><\/td>\n<td>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">8 lakh &#8211; 11 lakh<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Data Engineer<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Designs and maintains data pipelines and databases.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ensures the availability of clean and structured data for analysis.<\/span><\/td>\n<td>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">6 lakh &#8211; 9 lakh<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Quantitative Analyst<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Works primarily in finance to model market risks and predict trends.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Uses data analytics to guide investment strategies.<\/span><\/td>\n<td>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">7.5 lakh &#8211; 9 lakh<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Marketing Analyst<\/span><\/td>\n<td style=\"text-align: center;\"><span style=\"font-weight: 400;\">Analyses consumer behaviour and campaign performance.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Provides insights to optimise marketing strategies.<\/span><\/td>\n<td>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">3.5 lakh &#8211; 5 lakh<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">*<\/span><b><i>Note:<\/i><\/b><i><span style=\"font-weight: 400;\"> The salaries mentioned above are entry-level salaries sourced from various sources on the internet. Hence, they can vary.<\/span><\/i><\/p>\n<h2>Courses Offered in Data Analytics<\/h2>\n<p><span style=\"font-weight: 400;\">In India, one can pursue a wide range of data analytics courses via both online and offline mode. Following are some popular ones:\u00a0<\/span><\/p>\n<h3>Online Courses and Certifications<\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Google Data Analytics Certificate<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Coursera Data Analytics Specialisation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">edX MicroMasters Programme in Statistics and Data Science<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Simplilearn Data Analytics Course<\/span><\/li>\n<\/ul>\n<h3>Offline Programmes<\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Postgraduate Diploma\/Certificate Programmes<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Executive Programme<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Bootcamps<\/span><\/li>\n<\/ul>\n<h2>Conclusion<\/h2>\n<p><span style=\"font-weight: 400;\">A career in data analytics offers immense opportunities for growth and innovation. With the right mindset, and continuous learning, one can thrive in this field. Whether you&#8217;re just starting or considering a transition, data analytics offers a great career with the potential to make a meaningful impact with good remuneration across industries.<\/span><\/p>\n<p><strong>Also Read: <\/strong><a href=\"https:\/\/www.krmangalam.edu.in\/best-data-science-colleges-in-delhi\/\" target=\"_blank\" rel=\"noopener\">Best Data Science Colleges In Delhi NCR 2024<\/a><strong><br \/>\n<\/strong><\/p>\n<p><strong><div class=\"faq-wrapper\">\n    <h2 class=\"faq-heading\">FAQs<\/h2>\n    <!--<div class=\"faq-underline\"><\/div>-->\n\n            <p class=\"faq-intro\">Let\u2019s go through the answers of some of the frequently asked questions.<\/p>\n    \n            <div class=\"faq-card\">\n            <h3 class=\"faq-question text-blue-600 mb-2\">What is Data Analytics?<\/h3>\n            <p class=\"faq-answer\">Data analytics refers to the process of collecting, organising, and interpreting large sets of data to identify patterns, trends, and correlations, ultimately drawing insights and making informed decisions.<\/p>\n        <\/div>\n            <div class=\"faq-card\">\n            <h3 class=\"faq-question text-blue-600 mb-2\">What is the difference between Data Science and Data Analytics?<\/h3>\n            <p class=\"faq-answer\">Data Analytics is a subset of Data Science. Data Science uses advanced techniques to predict future trends and drive innovation, while Data Analytics focuses on understanding past data to inform present decisions.<\/p>\n        <\/div>\n            <div class=\"faq-card\">\n            <h3 class=\"faq-question text-blue-600 mb-2\">What are the various career opportunities in Data Analytics?<\/h3>\n            <p class=\"faq-answer\">The field of Data Analytics offers the following career opportunities: Data Analyst Business Analyst Data Scientist Data Engineer Quantitative Analyst Marketing Analyst, etc.<\/p>\n        <\/div>\n            <div class=\"faq-card\">\n            <h3 class=\"faq-question text-blue-600 mb-2\">Is there any PG or UG course in Data Analytics?<\/h3>\n            <p class=\"faq-answer\">Yes, many colleges and universities offer UG and PG courses in Data Analytics.<\/p>\n        <\/div>\n            <div class=\"faq-card\">\n            <h3 class=\"faq-question text-blue-600 mb-2\">Does Data Analytics offer a good career with a competitive salary?<\/h3>\n            <p class=\"faq-answer\">Of course, Data Analytics offers a good career with good salaries. Refer to the table above under the heading \u2018Careers in Data Analytics\u2019 for detailed information on this.<\/p>\n        <\/div>\n    <\/div>\n\n<style>\n    .faq-wrapper {\n        margin-top: 50px;\n    }\n\n    .faq-heading {\n        font-size: 24px;\n        font-weight: bold;\n        color: #d70000;\n        margin-bottom: 0;\n    }\n\n    .faq-underline {\n        width: 40px;\n        height: 4px;\n        background: linear-gradient(to right, #d70000, #2246f3);\n        margin-top: 4px;\n        margin-bottom: 20px;\n    }\n\n    .faq-intro {\n        margin-bottom: 20px;\n        color: #333;\n        line-height: 1.6;\n    }\n\n    .faq-card {\n        background: #ffffff;\n        border: 1px solid #e2e8f0;\n        border-radius: 12px;\n        padding: 20px;\n        margin-bottom: 15px;\n        transition: all 0.3s ease;\n    }\n\n    .faq-card:hover {\n        box-shadow: 0 8px 24px rgba(0, 0, 0, 0.08);\n        background: #ffffff;\n    }\n\n    .faq-question {\n        color: #2246f3 !important;\n        font-weight: 600 !important;\n        font-size: 16px !important;\n        margin-bottom: 8px;\n    }\n\n    .faq-answer {\n        margin: 0 !important;\n        color: #222 !important;\n        line-height: 1.6 !important;\n        font-size: 15px !important;\n    }\n<\/style>\n\n<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In recent years, the field of data analytics has emerged [&hellip;]<\/p>\n","protected":false},"author":13,"featured_media":77594,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3054,1],"tags":[2606,2608,2607],"class_list":["post-77547","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-career-guidance","category-uncategorized","tag-careers-in-data-analytics","tag-data-science-vs-data-analytics","tag-importance-of-data-analytics"],"acf":{"faqs_intro":"Let\u2019s go through the answers of some of the frequently asked questions.","faqs_section":[{"question":"What is Data Analytics?","answer":"Data analytics refers to the process of collecting, organising, and interpreting large sets of data to identify patterns, trends, and correlations, ultimately drawing insights and making informed decisions."},{"question":"What is the difference between Data Science and Data Analytics?","answer":"Data Analytics is a subset of Data Science. Data Science uses advanced techniques to predict future trends and drive innovation, while Data Analytics focuses on understanding past data to inform present decisions."},{"question":"What are the various career opportunities in Data Analytics?","answer":"The field of Data Analytics offers the following career opportunities: Data Analyst Business Analyst Data Scientist Data Engineer Quantitative Analyst Marketing Analyst, etc."},{"question":"Is there any PG or UG course in Data Analytics?","answer":"Yes, many colleges and universities offer UG and PG courses in Data Analytics."},{"question":"Does Data Analytics offer a good career with a competitive salary?","answer":"Of course, Data Analytics offers a good career with good salaries. Refer to the table above under the heading \u2018Careers in Data Analytics\u2019 for detailed information on this."}],"krmscript":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Careers in Data Analytics: Everything You Need To Know<\/title>\n<meta name=\"description\" content=\"Let&#039;s discover careers in data analytics and the importance of data analytics in shaping business decisions and driving success.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Careers in Data Analytics: Everything You Need To Know\" \/>\n<meta property=\"og:description\" content=\"Let&#039;s discover careers in data analytics and the importance of data analytics in shaping business decisions and 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