{"id":79391,"date":"2026-10-15T11:16:50","date_gmt":"2026-10-15T11:16:50","guid":{"rendered":"https:\/\/www.devopsschool.com\/blog\/?p=79391"},"modified":"2026-10-15T11:16:51","modified_gmt":"2026-10-15T11:16:51","slug":"how-to-get-your-first-data-analyst-job-after-a-bpo-career","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/how-to-get-your-first-data-analyst-job-after-a-bpo-career\/","title":{"rendered":"How to Get Your First Data Analyst Job After a BPO Career\u00a0"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Moving from a Business Process Outsourcing (BPO) career to a Data Analyst role can be a practical career transition for professionals who want to build technical skills and work with data. BPO experience often involves handling customer information, preparing reports, tracking performance metrics, and meeting service-level agreements. These responsibilities can provide a useful foundation for learning data analytics.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, moving into analytics requires more than experience in customer service or operations. Employers expect candidates to demonstrate skills in spreadsheets, SQL, data visualization, and analytical problem-solving. The good news is that you can develop these skills while continuing to work in a BPO role.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In this article, we will explore how to transition from a BPO career to a Data Analyst job, which technical skills to learn first, how to build a portfolio, and how to prepare for interviews. You will also learn how to use your existing work experience to demonstrate your readiness for an entry-level analytics position.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>1. Understand How Your BPO Experience Can Help<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Before starting your transition, identify the skills you already possess that are relevant to data analytics.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">BPO professionals frequently work with customer records, call volumes, resolution times, quality scores, customer satisfaction ratings, and performance reports. These activities involve data, even when the job title does not include the word analytics.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, a customer support executive might track daily ticket volumes, while a team leader might compare agent productivity and identify recurring customer complaints. A <a href=\"https:\/\/www.devopsschool.com\/blog\/associate-data-analyst-role-blueprint-responsibilities-skills-kpis-and-career-path\/\">Data Analyst<\/a> uses similar information to identify patterns, explain performance changes, and recommend improvements.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Here are some transferable skills:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data handling:<\/strong> Working with customer records, spreadsheets, and operational reports.<\/li>\n\n\n\n<li><strong>Problem-solving:<\/strong> Investigating recurring issues and identifying possible causes.<\/li>\n\n\n\n<li><strong>Communication:<\/strong> Explaining findings to team leaders, managers, and other stakeholders.<\/li>\n\n\n\n<li><strong>Process knowledge:<\/strong> Understanding workflows, service-level agreements, and performance targets.<\/li>\n\n\n\n<li><strong>Attention to detail:<\/strong> Checking records, validating information, and identifying inconsistencies.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These skills can strengthen your application, but they do not replace technical analytics skills. Your goal is to combine your existing business knowledge with practical experience using data tools.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>2. Learn the Essential Data Analyst Skills<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">You do not need to master every programming language or analytics platform before applying for your first job. Start with a small set of tools that allows you to complete common analysis tasks independently.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Excel or Google Sheets<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Spreadsheets are a useful starting point because many BPO professionals have already encountered them at work.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Focus on:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sorting, filtering, and cleaning datasets.<\/li>\n\n\n\n<li>Using functions such as IF, SUMIF, COUNTIF, and XLOOKUP.<\/li>\n\n\n\n<li>Creating pivot tables and charts.<\/li>\n\n\n\n<li>Identifying missing values and duplicate records.<\/li>\n\n\n\n<li>Calculating percentages, averages, and performance metrics.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Practical exercise:<\/strong> Create a weekly report showing the number of support tickets received, resolved tickets, average resolution time, and percentage of tickets resolved within the agreed SLA.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. SQL<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">SQL allows analysts to retrieve and summarize information stored in relational databases. It is an important skill for many entry-level Data Analyst positions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Learn these concepts in order:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>SELECT, WHERE, and ORDER BY.<\/li>\n\n\n\n<li>GROUP BY and aggregate functions.<\/li>\n\n\n\n<li>JOIN operations.<\/li>\n\n\n\n<li>CASE statements.<\/li>\n\n\n\n<li>Subqueries and common table expressions.<\/li>\n\n\n\n<li>Window functions and date-based analysis.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Practical exercise:<\/strong> Imagine that you have a database containing customer support tickets. Write queries to identify the most common ticket categories, calculate monthly ticket volumes, and compare average resolution times across teams.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Power BI or Tableau<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Data visualization tools help transform tables and calculations into reports that people can understand quickly.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For <a href=\"https:\/\/learn.microsoft.com\/en-us\/power-bi\/\">Power BI<\/a>, focus on:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Importing data from spreadsheets and CSV files.<\/li>\n\n\n\n<li>Cleaning and transforming data with Power Query.<\/li>\n\n\n\n<li>Creating relationships between tables.<\/li>\n\n\n\n<li>Building charts, cards, and interactive filters.<\/li>\n\n\n\n<li>Learning basic DAX measures.<\/li>\n\n\n\n<li>Designing dashboards around specific business questions.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Practical exercise:<\/strong> Build a dashboard that shows total tickets, resolution rates, SLA compliance, monthly trends, and the categories generating the highest support volume.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Basic Statistics and Analytical Thinking<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A Data Analyst must interpret results rather than simply produce charts.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Learn averages, medians, percentages, distributions, trends, and basic correlation. More importantly, practise asking questions such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Why did ticket volume increase this month?<\/li>\n\n\n\n<li>Which category contributes most to delayed resolutions?<\/li>\n\n\n\n<li>Did SLA compliance improve after a process change?<\/li>\n\n\n\n<li>Is the observed change large enough to require further investigation?<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Python can be added later, especially if you want to automate repetitive analysis or work with larger datasets. For your first role, prioritize spreadsheet proficiency, SQL, and one business intelligence tool.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>3. Follow a Structured Learning Plan<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Learning multiple tools without a clear sequence can make the transition confusing. A structured plan helps you build one skill on top of another.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Period<\/strong><\/td><td><strong>Learning focus<\/strong><\/td><td><strong>Expected outcome<\/strong><\/td><\/tr><tr><td>Weeks 1\u20132<\/td><td>Excel and data cleaning<\/td><td>Clean and summarize a dataset.<\/td><\/tr><tr><td>Weeks 3\u20135<\/td><td>SQL fundamentals<\/td><td>Write queries to answer business questions.<\/td><\/tr><tr><td>Weeks 6\u20138<\/td><td>Power BI<\/td><td>Build an interactive dashboard.<\/td><\/tr><tr><td>Weeks 9\u201310<\/td><td>Portfolio projects<\/td><td>Complete two practical analytics projects.<\/td><\/tr><tr><td>Weeks 11\u201312<\/td><td>Resume and interview preparation<\/td><td>Start applying and practicing technical questions.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">This is an illustrative 12-week plan, not a guarantee of job readiness or employment. The time required depends on your starting skills, available study hours, and the complexity of the projects you undertake.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Use documentation, guided exercises, and hands-on practice rather than relying entirely on videos. For a structured learning option, you can explore <strong>HCL GUVI&#8217;s<\/strong> <a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=devopsschool-guest-post&amp;utm_medium=hyperlink&amp;utm_campaign=how-to-get-first-data-analyst-job-after-bpo-career\"><strong><\/strong><strong>Data Science Course<\/strong><\/a> <strong><\/strong>and evaluate whether its curriculum, practical projects, and schedule match your goals.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>4. Build Portfolio Projects Based on BPO Scenarios<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A portfolio helps demonstrate that you can apply your knowledge to realistic business problems. You do not need access to your employer&#8217;s internal systems or customer records to build one.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Use public datasets or synthetic data that you create yourself. Never upload confidential company information, customer details, or proprietary reports to a public portfolio.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Project 1: Customer Support Performance Dashboard<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Create a dataset containing ticket ID, ticket category, priority, assigned team, creation date, resolution date, and SLA status.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Use Excel or Power BI to answer questions such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>How many tickets are received each month?<\/li>\n\n\n\n<li>Which categories have the highest volume?<\/li>\n\n\n\n<li>What percentage of tickets meet the SLA?<\/li>\n\n\n\n<li>Which categories have the longest resolution times?<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Your final deliverable should include a dashboard, a short explanation of the findings, and recommendations supported by the data.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Project 2: Agent Productivity Analysis<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Create a synthetic dataset containing agent ID, tickets handled, tickets resolved, quality score, and customer satisfaction rating.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Use SQL or a spreadsheet to calculate productivity measures and compare performance across teams.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Be careful not to treat the number of tickets handled as the only measure of performance. Ticket complexity, working hours, quality, and customer outcomes can influence the results.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Project 3: Customer Satisfaction Analysis<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Create a dataset containing survey ratings, issue categories, resolution status, and feedback themes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Analyse the relationship between customer satisfaction and factors such as resolution time or issue category. Summarize the patterns and suggest areas for further investigation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For each project, include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The business problem.<\/li>\n\n\n\n<li>The dataset and its source.<\/li>\n\n\n\n<li>The tools used.<\/li>\n\n\n\n<li>The cleaning and analysis steps.<\/li>\n\n\n\n<li>Screenshots or a published dashboard.<\/li>\n\n\n\n<li>Key findings and recommendations.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Two or three well-explained projects are generally more useful than a large collection of unfinished dashboards.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>5. Rewrite Your Resume for Data Analyst Roles<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A common mistake is to describe BPO experience only through customer service responsibilities. Your resume should show relevant analytical work without exaggerating your experience.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, a generic responsibility such as \u201cHandled customer queries and updated daily reports\u201d could be rewritten, if accurate, as: \u201cMaintained daily operational reports, checked data accuracy, and tracked service-level performance to support team reporting.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If you used Excel to analyse performance, specify the actual functions or reporting tasks you performed. If you built a Power BI dashboard independently, describe the dataset, metrics, and insights it delivered.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Your resume should include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A short professional summary explaining your transition into analytics.<\/li>\n\n\n\n<li>Technical skills grouped by tool.<\/li>\n\n\n\n<li>Relevant BPO experience with measurable, truthful responsibilities.<\/li>\n\n\n\n<li>Two or three portfolio projects.<\/li>\n\n\n\n<li>Education and relevant certifications, where applicable.<\/li>\n\n\n\n<li>Links to your portfolio or project repository.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Do not claim professional SQL, Power BI, or Python experience if you have only practised them in training. Clearly distinguishing professional experience from personal projects builds credibility.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>6. Apply for Entry-Level Roles That Match Your Skills<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">You do not have to target only jobs titled &#8220;Data Analyst.&#8221; Related roles can provide opportunities to gain experience with reporting, business metrics, and data quality.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Consider positions such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Junior Data Analyst.<\/li>\n\n\n\n<li>Reporting Analyst.<\/li>\n\n\n\n<li>MIS Executive or MIS Analyst.<\/li>\n\n\n\n<li>Operations Analyst.<\/li>\n\n\n\n<li>Business Intelligence Analyst, where entry-level requirements are suitable.<\/li>\n\n\n\n<li>Customer Support Analyst or Support Operations Analyst.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Reporting and MIS positions can be useful stepping stones if they involve meaningful analysis rather than only repetitive data entry.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When reviewing job descriptions, pay attention to the actual responsibilities and required skills. Some positions with analyst titles expect advanced SQL, statistical analysis, or prior industry experience, while others focus on reporting and dashboard development.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tailor your resume to each suitable vacancy, use relevant keywords naturally, and apply through company career pages or reputable job platforms. Networking with analysts and recruiters can also help you understand what employers expect from candidates entering the field.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>7. Prepare for Data Analyst Interviews<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Interview preparation should combine technical practice with the ability to explain business problems clearly.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Excel and SQL Questions<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Practise questions involving duplicate records, missing values, aggregation, joins, and date-based calculations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example: &#8220;How would you identify the three most common customer complaint categories in a support database?&#8221;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Explain how you would filter the relevant records, group them by category, count the tickets, and sort the results.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Power BI Questions<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Be prepared to explain how you clean data, establish relationships between tables, choose visualizations, and create measures.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You may also be asked how you would investigate a dashboard showing a sudden decline in SLA compliance.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Business Case Questions<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Interviewers may give you a scenario and ask you to investigate a performance problem.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Use a structured approach:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Clarify the metric and the time period.<\/li>\n\n\n\n<li>Validate the data and check for missing or inconsistent records.<\/li>\n\n\n\n<li>Segment the results by relevant factors, such as team, category, or priority.<\/li>\n\n\n\n<li>Identify possible explanations and test them.<\/li>\n\n\n\n<li>Communicate the findings, limitations, and recommended next steps.<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Questions About Your Career Transition<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Prepare a clear explanation of why you want to move from BPO to analytics. Focus on your interest in working with data, the skills you have developed, and the projects you have completed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Avoid describing your current role negatively. Instead, explain how your operational experience helps you understand business processes and how you are building the technical skills needed for the new role.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>8. Gain Relevant Experience in Your Current Role<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">If you are still working in a BPO, look for opportunities to take on reporting or analysis-related tasks within your existing responsibilities.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You could volunteer to help maintain a team dashboard, investigate recurring ticket categories, check report accuracy, or summarize weekly performance trends. Ask your manager whether there are opportunities to support reporting or process improvement.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Where permitted, request exposure to reporting tools and work with approved, non-confidential datasets. Document the skills you use and the results you help achieve.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You can also look for internal openings in reporting, workforce management analytics, quality analytics, or operations analysis. An internal move may let you build relevant experience while making use of your knowledge of the business.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If your current role offers no such opportunities, independent projects remain a useful alternative. The important point is to build evidence that you can work with data and explain what it means.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>9. Common Mistakes to Avoid During the Transition<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Several mistakes can slow down your progress:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Learning too many tools at once:<\/strong> Build a solid foundation in Excel, SQL, and one visualization tool before expanding.<\/li>\n\n\n\n<li><strong>Collecting certificates without practical work:<\/strong> Apply what you learn to projects that demonstrate your ability to solve business problems.<\/li>\n\n\n\n<li><strong>Building dashboards without explaining insights:<\/strong> Show what the results mean and what decisions they could support.<\/li>\n\n\n\n<li><strong>Ignoring SQL practice:<\/strong> Watching tutorials is not enough; write and debug queries independently.<\/li>\n\n\n\n<li><strong>Applying without tailoring your resume:<\/strong> Match your skills and projects to the responsibilities in each job description.<\/li>\n\n\n\n<li><strong>Misrepresenting your experience:<\/strong> Present training projects honestly and distinguish them from work completed in a professional setting.<\/li>\n\n\n\n<li><strong>Expecting a guaranteed transition timeline:<\/strong> Hiring depends on your preparation, the roles available, interview performance, and employer requirements.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">A realistic approach is to build your skills consistently, seek feedback, and improve your projects as you apply.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Getting your first Data Analyst job after a BPO career is achievable with focused preparation, although the transition requires time and consistent practice. Your experience with customer interactions, operational metrics, reporting, and process workflows can give you useful business context, but you must support it with demonstrable technical skills.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Start with Excel, learn SQL, and build practical dashboards using Power BI or another suitable tool. Create a small portfolio using realistic BPO-related scenarios, update your resume to highlight relevant experience, and prepare to explain your analytical decisions during interviews.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Most importantly, treat your BPO experience as a foundation rather than a limitation. By combining your understanding of business operations with hands-on data analysis, you can build a credible path toward an entry-level analytics role.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Moving from a Business Process Outsourcing (BPO) career to a Data Analyst role can be a practical career transition for professionals who want to build technical skills&#8230; <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[11138],"tags":[],"class_list":["post-79391","post","type-post","status-publish","format-standard","hentry","category-best-tools"],"_links":{"self":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/79391","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/comments?post=79391"}],"version-history":[{"count":1,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/79391\/revisions"}],"predecessor-version":[{"id":79392,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/79391\/revisions\/79392"}],"wp:attachment":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=79391"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=79391"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=79391"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}