{"id":143822,"date":"2026-10-23T10:33:59","date_gmt":"2026-10-23T05:03:59","guid":{"rendered":"https:\/\/www.guvi.in\/blog\/?p=143822"},"modified":"2026-10-23T10:34:00","modified_gmt":"2026-10-23T05:04:00","slug":"financial-analyst-to-data-analyst-career-shift","status":"publish","type":"post","link":"https:\/\/www.guvi.in\/blog\/financial-analyst-to-data-analyst-career-shift\/","title":{"rendered":"Financial Analyst to Data Analyst: Is It an Easy Career Switch?"},"content":{"rendered":"\n<p>What if your next career opportunity doesn&#8217;t require starting over, but simply learning to use your existing skills differently?<\/p>\n\n\n\n<p>Financial analysts already spend a good part of their day working with data. But while you&#8217;re busy analysing budgets, forecasts, and financial performance, Data Analysts are using similar analytical skills to solve problems across marketing, operations, product development, and more.<\/p>\n\n\n\n<p>That&#8217;s what makes the switch from financial analyst to data analyst worth exploring. You already have a strong foundation, and a few additional technical skills could help you qualify for opportunities beyond finance.<\/p>\n\n\n\n<p>But how easy is this career transition, and what would it actually take? Let&#8217;s find out!<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>TL;DR<\/strong><\/h2>\n\n\n\n<ul>\n<li>Moving from financial analyst to data analyst can be easier if you already work with financial data, reporting tools, and business metrics.<\/li>\n\n\n\n<li>Your experience in forecasting, financial modelling, and performance analysis gives you a strong foundation.<\/li>\n\n\n\n<li><strong>Advanced SQL, Python, Power BI, and data visualisation<\/strong> can help you expand your technical expertise.<\/li>\n\n\n\n<li>This career transition could open up opportunities in Business Intelligence, Product Analytics, and other data-driven roles.<\/li>\n\n\n\n<li>You may not need to start at an entry-level position, especially if you can demonstrate relevant technical skills and practical experience.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Is Switching From Financial Analyst to Data Analyst Really That Easy?<\/strong><\/h2>\n\n\n\n<p>Yes, the transition can be relatively smooth, especially if you&#8217;re already working in an IT or tech-driven organisation. Here&#8217;s why:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Strong Analytical Foundation<\/strong><\/h3>\n\n\n\n<p>Financial modelling, forecasting, and variance analysis already involve the problem-solving skills needed in Data Analytics.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Experience With Business Data<\/strong><\/h3>\n\n\n\n<p>You&#8217;re familiar with KPIs, performance metrics, and reporting, all of which are relevant across analytics roles.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Exposure to Technical Tools<\/strong><\/h3>\n\n\n\n<p>If you already use advanced Excel, SQL, or Power BI, you have a head start in developing the technical skills employers expect.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>What Could Make the Switch Challenging?<\/strong><\/h3>\n\n\n\n<p>You&#8217;ll need to expand beyond financial datasets, strengthen your SQL and Python skills, and become comfortable analysing broader business problems.<\/p>\n\n\n\n<p>However, your existing experience still counts. With stronger technical skills and relevant projects, you could qualify for broader analytics roles without necessarily starting at an entry-level position.<\/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=financial-analyst-to-data-analyst-career-shift\" 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>Financial Analyst vs Data Analyst: What&#8217;s the Difference?<\/strong><\/h2>\n\n\n\n<p>Both roles involve analysing data and supporting business decisions. However, Financial Analysts primarily focus on financial performance, while Data Analysts work with a wider range of business data.<\/p>\n\n\n\n<p>Here&#8217;s how the two roles compare:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Aspect<\/strong><\/td><td><strong>Financial Analyst<\/strong><\/td><td><strong>Data Analyst<\/strong><\/td><\/tr><tr><td><strong>Primary Focus<\/strong><\/td><td>Financial performance, budgeting, and forecasting<\/td><td>Business trends, patterns, and insights<\/td><\/tr><tr><td><strong>Daily Responsibilities<\/strong><\/td><td>Financial modelling, variance analysis, reporting<\/td><td>Data cleaning, analysis, dashboards<\/td><\/tr><tr><td><strong>Common Tools<\/strong><\/td><td>Excel, ERP systems, Power BI<\/td><td>SQL, Python, Power BI, Tableau<\/td><\/tr><tr><td><strong>Data Handled<\/strong><\/td><td>Revenue, expenses, budgets, financial statements<\/td><td>Customer, product, sales, and operational data<\/td><\/tr><tr><td><strong>Career Opportunities<\/strong><\/td><td>FP&amp;A, Financial Planning, Finance BI<\/td><td>Business Intelligence, Product Analytics, Operations Analytics<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>The biggest difference is the <strong>scope of analysis.<\/strong> Moving from finance to data analytics allows you to apply your existing analytical abilities to problems beyond financial performance. In fact, many of the techniques used in<a href=\"https:\/\/www.guvi.in\/blog\/data-analytics-for-finance-professionals\/\" target=\"_blank\" rel=\"noreferrer noopener\"> financial data analytics<\/a> are also relevant to broader business analysis.<\/p>\n\n\n\n<p>For IT professionals, this could mean exploring product analytics, customer behaviour analysis, or business intelligence without completely changing how you approach problem-solving.<\/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 \/> \nFlorence Nightingale used statistical diagrams to demonstrate how preventable diseases were killing soldiers during the Crimean War. Her visualisations helped make complex data understandable to decision-makers long before modern BI dashboards existed! \n<\/div>\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=financial-analyst-to-data-analyst-career-shift\" 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 Switch From Financial Analyst to Data Analyst: A Step-by-Step Guide<\/strong><\/h2>\n\n\n\n<p>If you&#8217;re already working with financial data and reporting tools, you have a useful foundation. The next step is to strengthen your technical expertise and gain experience with different business datasets.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 1: Strengthen Your Technical Skills<\/strong><\/h3>\n\n\n\n<p>Build on your existing knowledge by focusing on tools commonly used in broader Data Analytics roles.<\/p>\n\n\n\n<p><strong>Focus on:<\/strong><\/p>\n\n\n\n<ul>\n<li><strong>Advanced SQL:<\/strong> CTEs, window functions, complex joins, query optimisation<\/li>\n\n\n\n<li><strong>Python:<\/strong> Pandas, NumPy, data cleaning, exploratory analysis<\/li>\n\n\n\n<li><strong>Power BI or Tableau:<\/strong> Data modelling, DAX (Power BI), interactive dashboards<\/li>\n\n\n\n<li><strong>Statistics:<\/strong> Hypothesis testing, regression, A\/B testing<\/li>\n<\/ul>\n\n\n\n<p>Your choice between<a href=\"https:\/\/www.guvi.in\/blog\/power-bi-and-tableau-comparison-guide\/\" target=\"_blank\" rel=\"noreferrer noopener\"> Power BI and Tableau<\/a> may depend on your organisation&#8217;s tools and reporting requirements.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 2: Work on Projects Beyond Finance<\/strong><\/h3>\n\n\n\n<p>Financial reporting experience is valuable, but employers also want to see how you approach other business problems.<\/p>\n\n\n\n<p><strong>Try projects such as:<\/strong><\/p>\n\n\n\n<ul>\n<li><strong>Customer Churn Analysis:<\/strong> Customer retention patterns, churn indicators<\/li>\n\n\n\n<li><strong>Product Performance Dashboard:<\/strong> User engagement, conversions, retention rates<\/li>\n\n\n\n<li><strong>Sales Forecasting:<\/strong> Historical sales trends, demand predictions<\/li>\n<\/ul>\n\n\n\n<p>Try exploring some<a href=\"https:\/\/www.guvi.in\/blog\/top-data-analytics-project-ideas\/\" target=\"_blank\" rel=\"noreferrer noopener\"> data analytics project ideas<\/a> that can help you demonstrate your ability to work with datasets beyond traditional finance.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 3: Build a Portfolio That Demonstrates Your Skills<\/strong><\/h3>\n\n\n\n<p>Two or three well-executed projects can be more useful than a long list of certifications. Focus on explaining the business problem and how your analysis helped address it.<\/p>\n\n\n\n<p><strong>For each project, include:<\/strong><\/p>\n\n\n\n<ul>\n<li>Business problem and objectives<\/li>\n\n\n\n<li>Dataset and data sources<\/li>\n\n\n\n<li>Tools and techniques used<\/li>\n\n\n\n<li>Dashboards or visualisations<\/li>\n\n\n\n<li>Key findings and recommendations<\/li>\n<\/ul>\n\n\n\n<p>You can organise your projects on GitHub or create a Power BI portfolio to showcase your work.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 4: Update Your Resume for Analytics Roles<\/strong><\/h3>\n\n\n\n<p>Your existing financial analysis experience is relevant, so make sure your resume reflects the analytical work you&#8217;ve already done.<\/p>\n\n\n\n<p><strong>Highlight:<\/strong><\/p>\n\n\n\n<ul>\n<li><strong>Reporting automation:<\/strong> Dashboards, automated reports, process improvements<\/li>\n\n\n\n<li><strong>Business impact:<\/strong> Cost savings, forecasting accuracy, operational efficiency<\/li>\n\n\n\n<li><strong>Technical expertise:<\/strong> SQL, Python, Power BI, data modelling<\/li>\n\n\n\n<li><strong>Practical projects:<\/strong> Business problems solved, measurable outcomes<\/li>\n<\/ul>\n\n\n\n<p>Where possible, quantify your achievements instead of simply listing job responsibilities.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 5: Gain Practical Experience Before Switching<\/strong><\/h3>\n\n\n\n<p>If you&#8217;re already working in an IT organisation, you may have opportunities to collaborate with Data Analytics, BI, or product teams.<\/p>\n\n\n\n<p><strong>Look for opportunities involving:<\/strong><\/p>\n\n\n\n<ul>\n<li>Cross-functional analytics projects<\/li>\n\n\n\n<li>Product or customer performance reports<\/li>\n\n\n\n<li>Business intelligence dashboards<\/li>\n\n\n\n<li>Data-driven process improvements<\/li>\n<\/ul>\n\n\n\n<p>Such experience can strengthen your resume and make your career transition more credible when applying for broader analytics roles.<\/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=financial-analyst-to-data-analyst-career-shift\" 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>Which Data Analyst Roles Can Financial Analysts Target?<\/strong><\/h2>\n\n\n\n<p>Let&#8217;s look at some Data Analytics roles you could consider for your next career move, along with their earning potential in India.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Job Role<\/strong><\/td><td><strong>What You&#8217;ll Do<\/strong><\/td><td><strong>Avg. Salary (Under 5 Years of Experience)<\/strong><\/td><td><strong>Avg. Salary (5+ Years of Experience)<\/strong><\/td><\/tr><tr><td><strong>Business Intelligence Analyst<\/strong><\/td><td>Build dashboards, analyse KPIs, and support business decisions.<\/td><td><a href=\"https:\/\/www.ambitionbox.com\/profile\/business-intelligence-analyst-salary\" target=\"_blank\" data-type=\"link\" data-id=\"https:\/\/www.ambitionbox.com\/profile\/business-intelligence-analyst-salary\" rel=\"noreferrer noopener nofollow\">\u20b96.8-10.4 LPA<\/a><\/td><td><a href=\"https:\/\/www.ambitionbox.com\/profile\/business-intelligence-analyst-salary\" target=\"_blank\" data-type=\"link\" data-id=\"https:\/\/www.ambitionbox.com\/profile\/business-intelligence-analyst-salary\" rel=\"noreferrer noopener nofollow\">\u20b910.4-13.5 LPA<\/a><\/td><\/tr><tr><td><strong>Product Data Analyst<\/strong><\/td><td>Analyse user behaviour, product performance, and retention.<\/td><td><a href=\"https:\/\/www.ambitionbox.com\/profile\/product-data-analyst-salary\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">\u20b94-7 LPA<\/a><\/td><td><a href=\"https:\/\/www.ambitionbox.com\/profile\/product-data-analyst-salary\" target=\"_blank\" data-type=\"link\" data-id=\"https:\/\/www.ambitionbox.com\/profile\/product-data-analyst-salary\" rel=\"noreferrer noopener nofollow\">\u20b98-15 LPA<\/a><\/td><\/tr><tr><td><strong>Business Data Analyst<\/strong><\/td><td>Examine operational trends, business processes, and performance metrics.<\/td><td><a href=\"https:\/\/www.ambitionbox.com\/profile\/business-data-analyst-salary\" target=\"_blank\" data-type=\"link\" data-id=\"https:\/\/www.ambitionbox.com\/profile\/business-data-analyst-salary\" rel=\"noreferrer noopener nofollow\">\u20b96.4-9.6 LPA<\/a><\/td><td><a href=\"https:\/\/www.ambitionbox.com\/profile\/business-data-analyst-salary\" target=\"_blank\" data-type=\"link\" data-id=\"https:\/\/www.ambitionbox.com\/profile\/business-data-analyst-salary\" rel=\"noreferrer noopener nofollow\">\u20b912-16.3 LPA<\/a><\/td><\/tr><tr><td><strong>Revenue Analyst<\/strong><\/td><td>Analyse pricing, revenue trends, and growth opportunities.<\/td><td><a href=\"https:\/\/www.ambitionbox.com\/profile\/revenue-analyst-salary\" target=\"_blank\" data-type=\"link\" data-id=\"https:\/\/www.ambitionbox.com\/profile\/revenue-analyst-salary\" rel=\"noreferrer noopener nofollow\">\u20b95.5-7.7 LPA<\/a><\/td><td><a href=\"https:\/\/www.ambitionbox.com\/profile\/revenue-analyst-salary\" target=\"_blank\" data-type=\"link\" data-id=\"https:\/\/www.ambitionbox.com\/profile\/revenue-analyst-salary\" rel=\"noreferrer noopener nofollow\">\u20b99-11.8 LPA<\/a><\/td><\/tr><tr><td><strong>Operations Data Analyst<\/strong><\/td><td>Analyze operational efficiency, process performance, and resource utilization.<\/td><td><a href=\"https:\/\/www.ambitionbox.com\/profile\/data-operations-analyst-salary\" target=\"_blank\" data-type=\"link\" data-id=\"https:\/\/www.ambitionbox.com\/profile\/data-operations-analyst-salary\" rel=\"noreferrer noopener nofollow\">\u20b93.4-5.9 LPA<\/a><\/td><td><a href=\"https:\/\/www.ambitionbox.com\/profile\/data-operations-analyst-salary\" target=\"_blank\" data-type=\"link\" data-id=\"https:\/\/www.ambitionbox.com\/profile\/data-operations-analyst-salary\" rel=\"noreferrer noopener nofollow\">\u20b96.9-10 LPA<\/a><\/td><\/tr><\/tbody><\/table><figcaption class=\"wp-element-caption\">Source: AmbitionBox. Salary figures vary by experience, company, location, and technical expertise.<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>What Do These Salaries Mean for Your Career Switch?<\/strong><\/h3>\n\n\n\n<p>If you&#8217;re early in your IT career, Business Data Analyst or BI Analyst roles could be suitable options, depending on your skills.<\/p>\n\n\n\n<p>For experienced professionals, specialised roles in Product Analytics, Business Intelligence, or Operations Analytics may offer opportunities to build on existing expertise without necessarily starting over.<\/p>\n\n\n\n<p>However, a career switch doesn&#8217;t automatically guarantee a higher salary. Compare the compensation, responsibilities, and growth potential of your target role before making a decision.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Wrapping Up<\/strong><\/h2>\n\n\n\n<p>Moving from financial analyst to data analyst can be a smart career move, especially if you&#8217;re looking to expand your opportunities beyond traditional finance roles. You already have relevant analytical experience, and strengthening your technical skills could help you take that next step.<\/p>\n\n\n\n<p>If you&#8217;re ready to upskill, HCL GUVI&#8217;s mentor-led <a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=blog&amp;utm_medium=hyperlink&amp;utm_campaign=financial-analyst-to-data-analyst-career-shift\" target=\"_blank\" data-type=\"link\" data-id=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=blog&amp;utm_medium=hyperlink&amp;utm_campaign=financial-analyst-to-data-analyst-career-switch-is-it-easy\" rel=\"noreferrer noopener\">Advanced Data Science and Generative AI Program <\/a>offers expert mentorship, hands-on projects, along with a solid placement support that gives access to around 1000+ hiring partners for networking opportunities!<\/p>\n\n\n\n<p>And in case you prefer learning alongside your current job, HCL GUVI&#8217;s self-paced <a href=\"https:\/\/www.guvi.in\/courses\/data-science\/data-science-and-analytics\/?utm_source=blog&amp;utm_medium=hyperlink&amp;utm_campaign=financial-analyst-to-data-analyst-career-shift\" target=\"_blank\" rel=\"noreferrer noopener\">Data Science and Analytics course<\/a> lets you build your skills at your own pace.<\/p>\n\n\n\n<p>You&#8217;ve already built a strong foundation in financial analysis. Don&#8217;t let the next opportunity pass you by. Start preparing for your next career move today!<\/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=financial-analyst-to-data-analyst-career-shift\" 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-1792138334955\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>1. Do Financial Analysts need a Data Science degree to become Data Analysts?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>No. A specialised degree isn&#8217;t always required for a financial analyst to data analyst transition. Employers may consider your existing qualifications, technical skills, and practical analytics experience.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1792138351292\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>2. Can I become a Data Analyst without learning Python?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. Some Data Analyst roles primarily require Excel, SQL, and Power BI. However, Python becomes increasingly useful for automation, advanced analysis, and handling larger datasets.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1792138367562\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>3. Can Financial Analysts move into Data Analytics roles outside the finance industry?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. Moving from finance to data analytics can open up opportunities in sectors like e-commerce, healthcare, retail, and technology. Your eligibility will depend on your technical skills, understanding of the target domain, and the specific role requirements.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1792138382258\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>4. Can an Accountant become a Data Analyst without working as a Financial Analyst first?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. An accountant to data analyst career shift doesn&#8217;t require prior experience as a Financial Analyst. Relevant technical skills, analytical projects, and financial domain knowledge can help you qualify for suitable roles.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1792138400810\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>5. Can I move into Data Engineering after becoming a Data Analyst?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes, although you&#8217;ll need additional skills in Python, SQL, ETL pipelines, data warehousing, and cloud technologies. It can be a possible next step in your career transition toward more technical data roles.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1792138427489\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>6. Can a Finance Data Analyst eventually become a Data Science professional?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. A finance data career can provide a foundation for moving into Data Science. You&#8217;ll typically need stronger statistics, Python, machine learning, and predictive modelling skills to make that transition.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>What if your next career opportunity doesn&#8217;t require starting over, but simply learning to use your existing skills differently? Financial analysts already spend a good part of their day working with data. But while you&#8217;re busy analysing budgets, forecasts, and financial performance, Data Analysts are using similar analytical skills to solve problems across marketing, operations, [&hellip;]<\/p>\n","protected":false},"author":21,"featured_media":144216,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13,745,16],"tags":[],"views":"34","authorinfo":{"name":"Saanchi Bhardwaj","url":"https:\/\/www.guvi.in\/blog\/author\/saanchi\/"},"thumbnailURL":"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/10\/Financial-Analyst-to-Data-Analyst_-Is-It-an-Easy-Career-Switch__-300x116.webp","_links":{"self":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/143822"}],"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\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/comments?post=143822"}],"version-history":[{"count":16,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/143822\/revisions"}],"predecessor-version":[{"id":143943,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/143822\/revisions\/143943"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media\/144216"}],"wp:attachment":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media?parent=143822"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/categories?post=143822"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/tags?post=143822"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}