{"id":144832,"date":"2026-10-29T12:57:46","date_gmt":"2026-10-29T07:27:46","guid":{"rendered":"https:\/\/www.guvi.in\/blog\/?p=144832"},"modified":"2026-10-29T13:02:33","modified_gmt":"2026-10-29T07:32:33","slug":"is-data-analytics-a-good-career-for-bfsi-professionals","status":"publish","type":"post","link":"https:\/\/www.guvi.in\/blog\/is-data-analytics-a-good-career-for-bfsi-professionals\/","title":{"rendered":"Is Data Analytics a Good Career for BFSI Professionals?"},"content":{"rendered":"\n<p>If you work in banking, insurance or financial services, you may already understand customer transactions, loan processes, financial reports or compliance requirements. But if you want to move into a more analytical role, you may be wondering whether your experience is enough or whether you need to start learning an entirely new set of skills.<\/p>\n\n\n\n<p><strong>Is data analytics a good career for BFSI professionals?<\/strong> It can be,&nbsp; especially those who enjoy working with numbers, identifying patterns and solving business problems. Your knowledge of financial processes can help you understand the data, but you will also need to develop relevant technical skills and demonstrate that you can turn data into useful insights.<\/p>\n\n\n\n<p>The right decision depends on the kind of work you want to do, the skills you are ready to learn and the roles available to you. Let\u2019s look at where BFSI experience can help, which opportunities to explore and how to prepare for a transition without treating your existing experience as wasted.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>TL;DR: Is Data Analytics a Good Career for BFSI Professionals?<\/strong><\/h2>\n\n\n\n<ul>\n<li>Data analytics can be a suitable career path for professionals in banking, financial services and insurance because they already understand many of the business processes that generate data.&nbsp;<\/li>\n\n\n\n<li>Roles may include data analyst, reporting analyst, business intelligence analyst and certain risk analytics positions.&nbsp;<\/li>\n\n\n\n<li>To move into these roles, you may need to learn Excel, SQL, data visualisation, basic statistics and, depending on the job, Python.&nbsp;<\/li>\n\n\n\n<li>Your BFSI experience is an advantage, but practical projects and role-specific technical skills are what help demonstrate your readiness.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Is Data Analytics a Good Career for BFSI Professionals in India?<\/strong><\/h2>\n\n\n\n<p>For early-career professionals in banking, financial services and insurance, data analytics can offer a route into work involving reporting, performance tracking, customer behaviour, risk indicators and business decisions.<\/p>\n\n\n\n<p>The important distinction is that <strong>your BFSI experience gives you context, not automatic qualification for an analytics job<\/strong>. Someone who understands loan processing may recognise why an application is delayed. To work as a Data Analyst, that person must also learn to examine datasets, identify patterns, validate findings and communicate what the numbers mean.<\/p>\n\n\n\n<p>If you are considering whether data analytics is a good career for BFSI professionals, look at the kind of work you want to do every day. Do you enjoy finding the reason behind a problem, comparing performance, checking figures or explaining trends? Those interests are more relevant than choosing analytics simply because it sounds like a growing field.<\/p>\n\n\n<div class=\"wp-block-guvi-cta-button\" style=\"justify-content:center;\"><a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=blog&#038;utm_medium=cta-button&#038;utm_campaign=is-data-analytics-a-good-career-for-bfsi-professionals\" class=\"guvi-btn-enquire\" target=\"_blank\" rel=\"noopener noreferrer\">Explore HCL GUVI Data Science Course<\/a><\/div>\n\n\n<h2 class=\"wp-block-heading\"><strong>Why Can BFSI Experience Be Useful in Data Analytics?<\/strong><\/h2>\n\n\n\n<p>Financial institutions work with information about customers, transactions, payments, loans, claims, complaints and business performance. Understanding what those records mean is important when analysing them.<\/p>\n\n\n\n<p>Your existing experience may help in several ways:<\/p>\n\n\n\n<ul>\n<li><strong>Banking operations:<\/strong> You may understand transaction processes, exceptions, turnaround times and operational errors.<\/li>\n\n\n\n<li><strong>Loans and credit:<\/strong> You may already know the stages of an application, the documents involved and common reasons for delays.<\/li>\n\n\n\n<li><strong>Customer service:<\/strong> You may recognise recurring complaints, service issues and customer behaviour patterns.<\/li>\n\n\n\n<li><strong>Insurance:<\/strong> You may understand claims processes, policy details and documentation requirements.<\/li>\n\n\n\n<li><strong>Compliance and KYC:<\/strong> You may be familiar with data checks, documentation standards and why accuracy matters.<\/li>\n<\/ul>\n\n\n\n<p>These skills can help you ask more useful questions when analysing data. For example, someone who has worked with loan applications may be better placed to investigate why approval times differ between branches or customer segments.<\/p>\n\n\n\n<p>However, domain knowledge must be combined with analytical skills. A recruiter hiring for a Data Analyst role will still expect you to demonstrate that you can work with data, not just explain the business process.<\/p>\n\n\n\n<div style=\"background-color: #099f4e; border: 3px solid #110053; border-radius: 12px; padding: 18px 22px; color: #FFFFFF; font-size: 18px; font-family: Montserrat, Helvetica, sans-serif; line-height: 1.6; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15); max-width: 750px;\">\n  <strong style=\"font-size: 22px; color: #FFFFFF;\">\ud83d\udca1Did You Know?<\/strong> \n  <br \/><br \/> The Reserve Bank of India has noted that financial institutions increasingly rely on rule-based algorithms and machine learning models in areas such as credit decisions. Its 2024\u201325 Annual Report discusses the need for appropriate model governance and validation.\n\nFor BFSI professionals, this shows why understanding financial processes alongside data and analytical methods can be useful as financial decision-making evolves.\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Data Analytics Jobs Can BFSI Professionals Target?<\/strong><\/h2>\n\n\n\n<p>Not every job involving banking data is a Data Analyst role. Some positions focus on dashboards and reporting, while others require specialist knowledge of credit risk, fraud or compliance.&nbsp;<\/p>\n\n\n\n<p>Understanding the difference will help you search for suitable vacancies.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Role<\/strong><\/td><td><strong>Main work<\/strong><\/td><td><strong>What you may need<\/strong><\/td><\/tr><tr><td><strong>Junior Data Analyst \/ Data Analyst<\/strong><\/td><td>Clean data, analyse trends, answer business questions and prepare reports<\/td><td>Excel, SQL, basic statistics and data visualisation<\/td><\/tr><tr><td><strong>MIS Analyst \/ Reporting Analyst<\/strong><\/td><td>Prepare recurring reports, track KPIs and check reporting accuracy<\/td><td>Excel, reporting skills and, depending on the role, SQL or Power BI<\/td><\/tr><tr><td><strong>BI Analyst<\/strong><\/td><td>Build dashboards and explain business performance through metrics<\/td><td>SQL, Power BI or Tableau, data modelling and communication<\/td><\/tr><tr><td><strong>Business Analyst<\/strong><\/td><td>Gather requirements, document processes and connect business needs with solutions<\/td><td>Domain knowledge, problem-solving, documentation and stakeholder communication<\/td><\/tr><tr><td><strong>Credit Risk Analyst<\/strong><\/td><td>Examine credit information and support risk assessment<\/td><td>Credit knowledge, analytical skills and, for some roles, statistics or modelling<\/td><\/tr><tr><td><strong>Fraud Analyst<\/strong><\/td><td>Investigate unusual activity and patterns that may indicate fraud<\/td><td>Transaction knowledge, investigation skills and sometimes SQL or analytics tools<\/td><\/tr><tr><td><strong>AML \/ Transaction Monitoring Analyst<\/strong><\/td><td>Review alerts and transactions for potential compliance concerns<\/td><td>AML knowledge, attention to detail and an understanding of regulatory processes<\/td><\/tr><tr><td><strong>Claims \/ Underwriting Analyst<\/strong><\/td><td>Examine claims or policy information to support insurance decisions<\/td><td>Insurance knowledge, data analysis and role-specific risk understanding<\/td><\/tr><\/tbody><\/table><figcaption class=\"wp-element-caption\"><strong>Data Analytics Jobs Can BFSI Professionals Target<\/strong><\/figcaption><\/figure>\n\n\n\n<p>The first three are direct analytics or reporting-oriented targets, depending on the employer&#8217;s job description. Business Analyst roles are related but may focus more on requirements and processes than on data analysis. Credit risk, fraud, AML and insurance roles are specialist options: some use substantial analytics, while others are primarily domain or investigation roles.<\/p>\n\n\n\n<p>When searching for <strong>data analytics jobs in banking<\/strong>, read the responsibilities rather than relying on the job title alone. Check whether the role involves querying data, building reports, analysing trends or supporting decisions. This will give you a clearer picture of the skills required.<\/p>\n\n\n\n<p>For a more detailed transition path, read HCL GUVI&#8217;s guide on<a href=\"https:\/\/www.guvi.in\/blog\/bfsi-to-data-analytics\/\" target=\"_blank\" rel=\"noreferrer noopener\"> how banking and financial services professionals can move into data analytics<\/a>. If you work in loans or KYC, the article on<a href=\"https:\/\/www.guvi.in\/blog\/banking-executive-loans-to-data-analyst-skills\/\" target=\"_blank\" rel=\"noreferrer noopener\"> moving from a banking executive role to a Data Analyst role<\/a> may also be relevant.<\/p>\n\n\n<div class=\"wp-block-guvi-cta-button\" style=\"justify-content:center;\"><a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=blog&#038;utm_medium=cta-button&#038;utm_campaign=is-data-analytics-a-good-career-for-bfsi-professionals\" class=\"guvi-btn-enquire\" target=\"_blank\" rel=\"noopener noreferrer\">Explore HCL GUVI Data Science Course<\/a><\/div>\n\n\n<h2 class=\"wp-block-heading\"><strong>What Is the Demand for Analytics Skills in BFSI?<\/strong><\/h2>\n\n\n\n<p><strong>BFSI analytics demand<\/strong> should be understood through the work financial institutions need to perform, not through an assumption that every bank is hiring large numbers of Data Analysts.<\/p>\n\n\n\n<p>Banks and financial-services companies need to monitor business performance, assess credit-related information, understand customer activity, investigate exceptions and maintain accurate reports. The Department of Financial Services publishes banking data and annual reports that help readers understand the scale and changing activity of India&#8217;s banking sector.<\/p>\n\n\n\n<p>You can explore the government&#8217;s<a href=\"https:\/\/www.financialservices.gov.in\/banking-analytics\" target=\"_blank\" rel=\"noreferrer noopener\"> Banking Analytics data<\/a> and<a href=\"https:\/\/www.financialservices.gov.in\/annual-reports\" target=\"_blank\" rel=\"noreferrer noopener\"> Department of Financial Services annual reports<\/a> for official sector information.<\/p>\n\n\n\n<p>These sources provide context about the industry; they do not, by themselves, establish the number of analytics vacancies. To evaluate actual opportunities, compare current job descriptions from banks, NBFCs, insurers, fintech companies and financial-services teams. Look for repeated requirements such as SQL, Excel, Power BI, reporting, data quality and business analysis.<\/p>\n\n\n\n<p>This is a more useful way to assess <strong>BFSI data analyst growth<\/strong> than relying on broad claims about future demand. Your opportunities will depend on the roles available, your technical skills, your experience and how well you can demonstrate your ability to solve a business problem.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Skills Do You Need to Move Into Data Analytics?<\/strong><\/h2>\n\n\n\n<p>You do not have to learn every analytics tool at once. Start with the skills most relevant to junior reporting and analyst roles, then add more advanced tools as your goals become clearer.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Excel for everyday analysis<\/strong><\/h3>\n\n\n\n<p>Learn formulas, lookup functions, PivotTables, data cleaning and charts. Excel can help you investigate recurring reports and check whether the figures tell a consistent story.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. SQL for working with databases<\/strong><\/h3>\n\n\n\n<p>SQL helps you retrieve and analyse information stored in databases. Start with filtering, sorting, aggregations, joins and grouping. Later, learn common table expressions and window functions as your projects become more complex.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Power BI or another visualisation tool<\/strong><\/h3>\n\n\n\n<p>Learn how to turn findings into dashboards that managers can understand. Practice selecting useful KPIs, creating clear charts and explaining what changed and why it matters.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Basic statistics and analytical thinking<\/strong><\/h3>\n\n\n\n<p>Understand averages, percentages, distributions, trends and correlation. These concepts help you avoid misleading conclusions and explain differences between customer groups, branches or time periods.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. Python as a next step<\/strong><\/h3>\n\n\n\n<p>Python can help automate repetitive analysis and work with larger or more complex datasets. It is useful for many advanced analytics and data science paths, but it may not be the first requirement for every entry-level reporting role.<\/p>\n\n\n\n<p>You can use <a href=\"https:\/\/www.guvi.in\/hub\/data-analytics-tutorial\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data Analytics Tutorial<\/a> to explore the fundamentals and plan your learning.<\/p>\n\n\n<div class=\"wp-block-guvi-cta-button\" style=\"justify-content:center;\"><a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=blog&#038;utm_medium=cta-button&#038;utm_campaign=is-data-analytics-a-good-career-for-bfsi-professionals\" class=\"guvi-btn-enquire\" target=\"_blank\" rel=\"noopener noreferrer\">Explore HCL GUVI Data Science Course<\/a><\/div>\n\n\n<h2 class=\"wp-block-heading\"><strong>How to Move From a BFSI Role Into Data Analytics?<\/strong><\/h2>\n\n\n\n<p>Is data analytics a good career for BFSI professionals who have never worked in a technical role? It can be, but a structured transition is more useful than trying to learn everything at once.<\/p>\n\n\n\n<p><strong>Step 1: Choose your target role.<\/strong> Start with two or three job descriptions for Junior Data Analyst, MIS Analyst or Reporting Analyst positions. Note the skills they require.<\/p>\n\n\n\n<p><strong>Step 2: Learn the basics.<\/strong> Practice Excel and SQL first. Add Power BI or another visualisation tool once you are comfortable working with datasets.<\/p>\n\n\n\n<p><strong>Step 3: Build a relevant project.<\/strong> Choose a banking, lending, payments or insurance problem that you understand. Use synthetic or properly anonymised data, never confidential customer records.<\/p>\n\n\n\n<p><strong>Step 4: Practice explaining your findings.<\/strong> A project should show the question you investigated, how you prepared the data, what you discovered and what the business could investigate next.<\/p>\n\n\n\n<p><strong>Step 5: Update your CV and apply selectively.<\/strong> Highlight your BFSI experience alongside the analytical skills you can demonstrate. Look at internal opportunities as well as external vacancies.<\/p>\n\n\n\n<p>For example, if your current role involves loan processing, you could build a project that analyses loan application turnaround times. This gives you a concrete way to show how your existing domain knowledge connects with data analysis.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>A Practical BFSI Project: Analyse Loan Processing Delays<\/strong><\/h2>\n\n\n\n<p>Work with loan applications and notice that some applications take much longer to process than others. You want to understand where the delays are concentrated.<\/p>\n\n\n\n<p>Create a synthetic dataset containing application date, loan type, processing stage, application status, branch or channel, and turnaround time.<\/p>\n\n\n\n<p>Use Excel or SQL to clean and summarise the data. Then create a Power BI dashboard that shows:<\/p>\n\n\n\n<ul>\n<li>Average turnaround time by loan type.<\/li>\n\n\n\n<li>The stages where applications spend the most time.<\/li>\n\n\n\n<li>The proportion of applications completed within a chosen target.<\/li>\n\n\n\n<li>Differences in processing time across branches or channels.<\/li>\n<\/ul>\n\n\n\n<p>Your final task is to answer one question: <strong>Where should the team investigate first to understand the delays?<\/strong><\/p>\n\n\n\n<p>Be careful not to claim that a pattern proves the cause. For example, a longer turnaround time in one category may suggest an area to investigate, but more information may be needed to explain why it happens.<\/p>\n\n\n\n<p>This project can support applications for reporting, operations analytics or junior Data Analyst positions. It also gives you a specific example to discuss during an interview.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Should You Learn Data Science and Generative AI After Analytics?<\/strong><\/h2>\n\n\n\n<p>If your immediate goal is a reporting or entry-level Data Analyst role, start with <a href=\"https:\/\/www.guvi.in\/courses\/it-and-software\/ms-excel\/?utm_source=hyperlink&amp;utm_medium=blog&amp;utm_campaign=is-data-analytics-a-good-career-for-bfsi-professionals\" target=\"_blank\" rel=\"noreferrer noopener\">Excel<\/a>, <a href=\"https:\/\/www.guvi.in\/courses\/database-and-cloud-computing\/sql-for-beginners\/?utm_source=hyperlink&amp;utm_medium=blog&amp;utm_campaign=is-data-analytics-a-good-career-for-bfsi-professionals\" target=\"_blank\" rel=\"noreferrer noopener\">SQL<\/a>, visualisation and analytical thinking. You do not need to pursue an advanced programme just to get started.<\/p>\n\n\n\n<p>Data Science becomes relevant when you want to work on more complex questions, such as building predictive models, testing model performance or using machine learning to identify patterns. Generative AI can assist with selected tasks, including drafting code or summarising information, but its output still needs to be checked for accuracy and privacy.<\/p>\n\n\n\n<p>If you want to build beyond basic reporting into modelling and AI-assisted workflows, you can explore the <a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=hyperlink&amp;utm_medium=blog&amp;utm_campaign=is-data-analytics-a-good-career-for-bfsi-professionals\" target=\"_blank\" rel=\"noreferrer noopener\">HCL GUVI Data Science and Generative AI Zen Class<\/a>. Review the current curriculum and learning format to check whether they match your career goals.<\/p>\n\n\n\n<p>The choice depends on the role you want. Build the skills needed for your next step first, then expand your learning as your goals develop.<\/p>\n\n\n<div class=\"wp-block-guvi-cta-button\" style=\"justify-content:center;\"><a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=blog&#038;utm_medium=cta-button&#038;utm_campaign=is-data-analytics-a-good-career-for-bfsi-professionals\" class=\"guvi-btn-enquire\" target=\"_blank\" rel=\"noopener noreferrer\">Enquire Now<\/a><\/div>\n\n\n<h2 class=\"wp-block-heading\"><strong>Is Data Analytics a Good Career for BFSI Professionals With Less Than Four Years of Experience?<\/strong><\/h2>\n\n\n\n<p>Is data analytics a good career for BFSI professionals early in their careers? It may be a sensible option if you enjoy working with information, solving problems and learning technical tools.<\/p>\n\n\n\n<p>Your existing experience can help you understand the business context, but employers will still want evidence that you can work with data. Before making a decision, review current vacancies, compare their requirements with your skills and complete a small project.<\/p>\n\n\n\n<p>That will help you understand whether you are ready to apply now or need more practice first.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p>If you work in banking, insurance or financial services, you may already understand the business problems that data analysts investigate. The next step is learning how to work with the data itself.<\/p>\n\n\n\n<p>Start by choosing a realistic role, building the relevant technical skills and completing a project connected to your BFSI experience. That will give you a clearer picture of your readiness and help you decide whether data analytics is the right next move.<\/p>\n\n\n<div class=\"wp-block-guvi-cta-button\" style=\"justify-content:center;\"><a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=blog&#038;utm_medium=cta-button&#038;utm_campaign=is-data-analytics-a-good-career-for-bfsi-professionals\" class=\"guvi-btn-enquire\" target=\"_blank\" rel=\"noopener noreferrer\">Explore HCL GUVI Data Science Course<\/a><\/div>\n\n\n<h2 class=\"wp-block-heading\"><strong>Frequently Asked Questions<\/strong><\/h2>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1793106623564\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>1. Is data analytics a good career for BFSI professionals without a coding background?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes, it can be. Excel, SQL and data visualisation are useful starting points. Some entry-level reporting roles do not require Python, while other positions expect stronger programming or statistical skills.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793106628894\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>2. What are the best entry-level data analytics jobs in banking?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Junior Data Analyst, MIS Analyst and Reporting Analyst roles are worth exploring. BI Analyst positions may also suit you if you develop the required dashboarding and data skills. Always check the responsibilities and experience requirements.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793106638505\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>3. Can a banking operations executive become a Data Analyst?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes, provided they build the required technical skills and can demonstrate them through projects or relevant work. Experience with loan processing, transactions or customer records can help them understand the business problem behind the data.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793106648916\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>4. Are Credit Risk Analyst and Data Analyst the same role?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>No. Credit Risk Analysts focus on assessing credit-related risks. Some positions involve substantial data analysis and modelling, while others require specialist credit knowledge. The required skills depend on the employer.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793106658866\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>5. Do I need Python for data analytics jobs in banking?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Not for every position. Excel, SQL and a visualisation tool may be enough for some reporting-oriented roles. Python becomes more useful for automation, complex analysis and many data science positions.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793106668673\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>6. How can I check BFSI analytics demand?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Review current vacancies from banks, NBFCs, insurers and fintech companies. Compare their responsibilities, experience requirements and repeated skills. Official RBI reports can provide industry context, but they do not replace checking current job openings.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1793106679823\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>7. Is a Data Science and Generative AI course necessary for a BFSI Data Analyst role?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>No. It depends on your career goal. Start with the skills required for the role you want. A broader programme may be useful if you also want to learn modelling, machine learning and Generative AI workflows.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>If you work in banking, insurance or financial services, you may already understand customer transactions, loan processes, financial reports or compliance requirements. But if you want to move into a more analytical role, you may be wondering whether your experience is enough or whether you need to start learning an entirely new set of skills. [&hellip;]<\/p>\n","protected":false},"author":62,"featured_media":145084,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16,13,745],"tags":[],"views":"25","authorinfo":{"name":"Hashmithaa","url":"https:\/\/www.guvi.in\/blog\/author\/hashmithaa\/"},"thumbnailURL":"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/10\/is-data-analytics-a-good-career-for-BFSI-professionals-300x116.webp","_links":{"self":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/144832"}],"collection":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/users\/62"}],"replies":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/comments?post=144832"}],"version-history":[{"count":5,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/144832\/revisions"}],"predecessor-version":[{"id":145083,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/144832\/revisions\/145083"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media\/145084"}],"wp:attachment":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media?parent=144832"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/categories?post=144832"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/tags?post=144832"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}