{"id":27224,"date":"2025-12-15T05:52:24","date_gmt":"2025-12-15T05:52:24","guid":{"rendered":"https:\/\/mycareernet.in\/blogs\/?p=27224"},"modified":"2025-12-15T06:29:09","modified_gmt":"2025-12-15T06:29:09","slug":"data-analyst-interview-questions-and-answers-for-freshers","status":"publish","type":"post","link":"https:\/\/mycareernet.co\/blogs\/data-analyst-interview-questions-and-answers-for-freshers\/","title":{"rendered":"Data analyst interview questions and answers for freshers (2026 guide)"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"27224\" class=\"elementor elementor-27224\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2d4856d0 e-flex e-con-boxed e-con e-parent\" data-id=\"2d4856d0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-476edd44 elementor-widget elementor-widget-text-editor\" data-id=\"476edd44\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Breaking into data analytics as a fresher can feel challenging because interviews are designed to assess both your knowledge and your approach to solving problems. Recruiters expect candidates to understand the data analysis process, articulate their learning journey with confidence, and demonstrate clear, structured thinking during discussions.<\/span><\/p><p><span style=\"font-weight: 400;\">This guide helps you prepare for real interview scenarios with data analyst interview questions tailored for freshers, including technical, SQL, Python, statistics, Excel, and BI tool questions. Each section includes practical Q&amp;A-style explanations to help you grasp concepts and present them confidently during interviews.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0c54d07 e-con-full e-flex e-con e-child\" data-id=\"0c54d07\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-676e810 elementor-widget elementor-widget-html\" data-id=\"676e810\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"toc-tabs\">\r\n    <h3>Table of Contents<\/h3>\r\n\r\n    <a href=\"#section1\" class=\"toc-tab\">1. What Does a Data Analyst Do?<\/a><br>\r\n\r\n    <a href=\"#section2\" class=\"toc-tab\">2. Skills Needed to Get a Data Analyst Job<\/a><br>\r\n\r\n    <a href=\"#section3\" class=\"toc-tab\">3. General Data Analytics Interview Questions<\/a><br>\r\n\r\n    <a href=\"#section4\" class=\"toc-tab\">4. Data Analyst Technical Interview Questions<\/a><br>\r\n\r\n    <a href=\"#section5\" class=\"toc-tab\">5. SQL Interview Questions for Data Analysts<\/a><br>\r\n\r\n    <a href=\"#section6\" class=\"toc-tab\">6. Python Interview Questions for Data Analysts<\/a><br>\r\n\r\n    <a href=\"#section7\" class=\"toc-tab\">7. Statistics Interview Questions for Data Analysts<\/a><br>\r\n\r\n    <a href=\"#section8\" class=\"toc-tab\">8. Excel Interview Questions for Data Analysts<\/a><br>\r\n\r\n    <a href=\"#section9\" class=\"toc-tab\">9. Power BI \/ Tableau Data Analyst Interview Questions<\/a><br>\r\n<\/div>\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8ed6792 e-flex e-con-boxed e-con e-parent\" data-id=\"8ed6792\" data-element_type=\"container\" data-e-type=\"container\" id=\"section1\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-31d2f58 elementor-widget elementor-widget-text-editor\" data-id=\"31d2f58\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><span style=\"font-weight: 400;\">What does a data analyst do?<\/span><\/h2><p><span style=\"font-weight: 400;\">Before answering any data analyst interview questions for freshers, it is important to understand how the role functions in real workplaces. A data analyst transforms raw data into meaningful insights, identifies data patterns, and supports data-driven decision making.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Employers expect analysts to clean data, conduct exploratory data analysis, validate data quality, and communicate findings using data visualisation tools.<\/span><\/p><p><span style=\"font-weight: 400;\">For a detailed explanation, see:<\/span><b> what does a data analyst do<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3603693 elementor-widget elementor-widget-text-editor\" data-id=\"3603693\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<blockquote class=\"wp-block-quote\"><p><span style=\"font-weight: 400;\">\ud83d\udca1 Pro Tip: <\/span><span style=\"font-weight: 400;\">Anchor your explanation with a brief project example, it demonstrates practical understanding and immediately strengthens your credibility.<\/span><\/p><\/blockquote>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ca3286f elementor-widget elementor-widget-text-editor\" data-id=\"ca3286f\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Knowing the day-to-day realities of the job sets the context, but the real advantage comes from developing the skills that let you deliver those outcomes consistently.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9a5fb73 e-flex e-con-boxed e-con e-parent\" data-id=\"9a5fb73\" data-element_type=\"container\" data-e-type=\"container\" id=\"section2\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a20c154 elementor-widget elementor-widget-text-editor\" data-id=\"a20c154\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><span style=\"font-weight: 400;\">Skills needed to get a data analyst job<\/span><\/h2><p><span style=\"font-weight: 400;\">Freshers preparing for data analytics interview questions often focus on tools, but the role demands a broader mix of analytical thinking, data handling abilities, and strong communication.<\/span><\/p><p><span style=\"font-weight: 400;\">What matters most is your ability to take raw information, apply structured analytical methods, and convert those findings into insights that genuinely influence decisions.<\/span><\/p><p><b>Essential capabilities employers look for:<\/b><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data cleaning and data wrangling to handle missing data, inconsistent data, and incorrect data values<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Statistical analysis and interpretation, including summary statistics, probability, hypothesis testing, and understanding distributions<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">SQL proficiency for querying databases, joining tables, performing aggregations, and analysing large datasets<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Python for data analysis, using libraries like Pandas and NumPy for data manipulation, EDA, and data transformation<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data visualisation using Excel, Power BI, Tableau, or other data visualisation tools to present insights clearly<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Understanding of data modelling, schemas, relationships, and normalisation concepts<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data profiling and data validation to ensure data integrity throughout the analysis process<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ability to interpret complex data sets and identify meaningful patterns or trends<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Strong communication and storytelling skills to explain insights to non-technical stakeholders<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">Learn the full pathway here: <\/span><b>How to Become a Data Analyst<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-487f0eb elementor-widget elementor-widget-text-editor\" data-id=\"487f0eb\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<blockquote class=\"wp-block-quote\"><p><span style=\"font-weight: 400;\">\ud83d\udca1 Pro Tip: <\/span><span style=\"font-weight: 400;\">Show that you understand <\/span><i><span style=\"font-weight: 400;\">why<\/span><\/i><span style=\"font-weight: 400;\"> each skill matters. When you link a skill to the business decisions it enables, you instantly stand out from candidates who only focus on tools.<\/span><\/p><\/blockquote>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b0fcdb8 elementor-fixed elementor-widget elementor-widget-button\" data-id=\"b0fcdb8\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;fixed&quot;,&quot;ekit_we_effect_on&quot;:&quot;onscroll&quot;,&quot;ekit_we_scroll_animation_value&quot;:20,&quot;ekit_we_scroll_smoothness&quot;:1000,&quot;ekit_we_scroll_offsetbottom&quot;:30,&quot;ekit_we_scroll_animation&quot;:&quot;translateY&quot;,&quot;ekit_we_scroll_offsettop&quot;:0}\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/mycareernet.in\/mycareernet\/jobs\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-external-link-alt\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Explore Your Next Move<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2199324 e-flex e-con-boxed e-con e-parent\" data-id=\"2199324\" data-element_type=\"container\" data-e-type=\"container\" id=\"section3\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d5d0648 elementor-widget elementor-widget-image\" data-id=\"d5d0648\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1500\" height=\"621\" src=\"https:\/\/mycareernet.co\/blogs\/wp-content\/uploads\/2025\/11\/MyCareernet-data-analyst-core-tech-skills-2026.jpg\" class=\"attachment-full size-full wp-image-27478\" alt=\"Infographic highlighting the core technical skills required for data analyst interviews across SQL, Python, statistics, Excel, and BI tools.\" srcset=\"https:\/\/mycareernet.co\/blogs\/wp-content\/uploads\/2025\/11\/MyCareernet-data-analyst-core-tech-skills-2026.jpg 1500w, https:\/\/mycareernet.co\/blogs\/wp-content\/uploads\/2025\/11\/MyCareernet-data-analyst-core-tech-skills-2026-300x124.jpg 300w, https:\/\/mycareernet.co\/blogs\/wp-content\/uploads\/2025\/11\/MyCareernet-data-analyst-core-tech-skills-2026-1024x424.jpg 1024w, https:\/\/mycareernet.co\/blogs\/wp-content\/uploads\/2025\/11\/MyCareernet-data-analyst-core-tech-skills-2026-768x318.jpg 768w, https:\/\/mycareernet.co\/blogs\/wp-content\/uploads\/2025\/11\/MyCareernet-data-analyst-core-tech-skills-2026-710x294.jpg 710w\" sizes=\"(max-width: 1500px) 100vw, 1500px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">A simple, at-a-glance map of the technical skills interviewers expect from freshers.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4a6e029 elementor-widget elementor-widget-text-editor\" data-id=\"4a6e029\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<span style=\"font-weight: 400;\">Skills set the foundation, but interviews reveal whether you can elevate those skills into structured reasoning, and that is exactly what the next set of questions uncovers.<\/span>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5700dda e-flex e-con-boxed e-con e-parent\" data-id=\"5700dda\" data-element_type=\"container\" data-e-type=\"container\" id=\"section3\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2914ed7 elementor-widget elementor-widget-text-editor\" data-id=\"2914ed7\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><span style=\"font-weight: 400;\">General data analytics interview questions<\/span><\/h2><p><span style=\"font-weight: 400;\">HR rounds focus less on formulas and more on how freshers think about the data analysis process. Interviewers test your understanding of the data analyst role, your approach to data collection, and your ability to communicate insights.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">These interview questions help employers assess curiosity, analytical thinking, and how well you collaborate during data-driven projects.<\/span><\/p><p><span style=\"font-weight: 400;\">More guidance here: <\/span><b>interview questions for freshers<\/b><\/p><h3><span style=\"font-weight: 400;\">How would you describe the role of a data analyst?<\/span><\/h3><p><span style=\"font-weight: 400;\">A data analyst interprets raw data, identifies trends through univariate, bivariate, or multivariate analysis, and transforms information into insights that support business decision-making.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">The role involves cleaning categorical and numerical data, analysing patterns, validating data quality, and presenting findings using data visualisation tools.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Analysts also help define the dependent variables and metrics needed for accurate business evaluation.<\/span><\/p><h3><span style=\"font-weight: 400;\">How to discuss your learning journey and projects\u00a0 in data analysis?<\/span><\/h3><p><span style=\"font-weight: 400;\">Explain how you learnt core concepts by working on small data analysis projects involving EDA, handling categorical data, performing cluster analysis or factor analysis, or applying basic statistical techniques like univariate or bivariate analysis.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Mention tools or techniques you used for analysing data and how each project strengthened your understanding of real-world datasets.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you demonstrate problem-solving without work experience?<\/span><\/h3><p><span style=\"font-weight: 400;\">Use academic tasks or personal projects where you applied analysing data techniques such as summarising data, building a simple regression model with a defined dependent variable, or testing assumptions using exploratory analysis.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Even small wins like identifying patterns across three or more variables show structured thinking.<\/span><\/p><h3><span style=\"font-weight: 400;\">How to communicate insights effectively?<\/span><\/h3><p><span style=\"font-weight: 400;\">Focus on the relationships between variables and simplify concepts like bivariate analysis, trends, or what changed in a dependent variable.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Use clear visuals, especially when presenting insights involving three or more variables or clusters identified during EDA.<\/span><\/p><h3><span style=\"font-weight: 400;\">What soft skills matter for data analysts?<\/span><\/h3><p><span style=\"font-weight: 400;\">Interviewers look for curiosity, attention to detail, structured thinking, adaptability, and collaboration.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Since analysts often handle missing or inconsistent data, patience and a proactive approach are equally valued. They also expect clarity in communication and willingness to question assumptions.<\/span><\/p><p><span style=\"font-weight: 400;\">General questions show your potential, but technical rounds expose your capability, the point where interviewers look for depth, discipline, and a clear analytical framework.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-44b52ff elementor-fixed elementor-widget elementor-widget-button\" data-id=\"44b52ff\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;fixed&quot;,&quot;ekit_we_effect_on&quot;:&quot;onscroll&quot;,&quot;ekit_we_scroll_animation_value&quot;:20,&quot;ekit_we_scroll_smoothness&quot;:1000,&quot;ekit_we_scroll_offsetbottom&quot;:30,&quot;ekit_we_scroll_animation&quot;:&quot;translateY&quot;,&quot;ekit_we_scroll_offsettop&quot;:0}\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/mycareernet.in\/mycareernet\/jobs\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-external-link-alt\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Explore Your Next Move<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9fea0d1 e-flex e-con-boxed e-con e-parent\" data-id=\"9fea0d1\" data-element_type=\"container\" data-e-type=\"container\" id=\"section4\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b2e1fae elementor-widget elementor-widget-text-editor\" data-id=\"b2e1fae\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><span style=\"font-weight: 400;\">Data analyst technical interview questions<\/span><\/h2><p><span style=\"font-weight: 400;\">Technical rounds go deeper into concepts like data wrangling, data validation, exploratory data analysis, and handling missing values. These data analyst questions assess your ability to clean datasets, identify patterns, transform data, and ensure data integrity throughout the analysis workflow.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Freshers should show clarity in explaining statistical techniques, data modelling basics, and how to analyse large datasets efficiently.<\/span><\/p><h3><span style=\"font-weight: 400;\">Can you explain the complete data analysis workflow?<\/span><\/h3><p><span style=\"font-weight: 400;\">A strong analyst does not treat analysis as a set of disconnected steps, they see it as a sequence where every stage influences the next. Interviewers want to know if you understand this flow: how you move from a vague problem to structured data, and then to insights that actually answer the question.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Your explanation should show that you can keep the business goal in focus while working through the technical details.<\/span><\/p><p><span style=\"font-weight: 400;\">A typical workflow includes:<\/span><\/p><ol><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Understanding the business question<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Collecting data from relevant data sources<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cleaning and preprocessing raw data<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Handling missing values, duplicates, and incorrect data values<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Exploring data with summary statistics and visualisation<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Identifying patterns and relationships<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Building statistical models if required<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Presenting insights to stakeholders<\/span><\/li><\/ol><p><span style=\"font-weight: 400;\">This demonstrates how you approach analysing data logically from start to finish.<\/span><\/p><h3><span style=\"font-weight: 400;\">What are the key steps involved in data cleaning?<\/span><\/h3><p><span style=\"font-weight: 400;\">Steps include correcting data entry errors, removing duplicates, standardising formats, fixing data types, handling missing data, and validating data integrity. Data cleaning improves data quality and ensures reliable outputs.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you handle missing values and outliers?<\/span><\/h3><p><span style=\"font-weight: 400;\">Common techniques include deletion (listwise or pairwise), imputation (mean, median, mode), predictive modelling, or using domain knowledge. The method depends on the data structure, volume of missingness, and business context.<\/span><\/p><h3><span style=\"font-weight: 400;\">What data types do you commonly encounter?<\/span><\/h3><p><span style=\"font-weight: 400;\">You frequently handle categorical data, numerical data, time-series data, and mixed formats. This determines whether you apply univariate analysis, grouping, or transformations before moving into more complex modelling.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is data modelling?<\/span><\/h3><p><span style=\"font-weight: 400;\">Data modelling is the process of organising data using schemas, relationships, and rules to ensure clarity and efficiency. Analysts often work with star schemas, snowflake schemas, or ER diagrams.<\/span><\/p><h3><span style=\"font-weight: 400;\">What are database relationships?<\/span><\/h3><p><span style=\"font-weight: 400;\">Databases use one-to-one, one-to-many, and many-to-many relationships to define how tables connect. Understanding relationships helps when performing joins or analysing relational datasets.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is normalisation and denormalisation?<\/span><\/h3><p><span style=\"font-weight: 400;\">Normalisation organises data into logical tables to eliminate redundancy. Denormalisation does the opposite to improve read performance. Interviewers want to assess your reasoning for choosing one approach over another.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you validate data quality?<\/span><\/h3><p><span style=\"font-weight: 400;\">Checks include verifying completeness, accuracy, consistency, validity, uniqueness, and timeliness. Analysts also use data profiling tools to inspect distributions, missing values, and anomalies.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is exploratory data analysis (EDA) fundamentals<\/span><\/h3><p><span style=\"font-weight: 400;\">EDA involves summarising data visually and statistically to understand patterns, distributions, and relationships between variables. Analysts use histograms, box plots, heatmaps, scatterplots, and summary statistics.<\/span><\/p><h3><span style=\"font-weight: 400;\">How would you analyse a drop in sales for the last quarter?<\/span><\/h3><ol><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Examine sales data by region, product, and time period<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Investigate missing or incorrect data values<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Check for external factors like price, competitor behaviour, or seasonality<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Identify patterns using visualisation<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Recommend insights backed by evidence<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">Scenario questions reveal your practical approach to data-driven decision-making.<\/span><\/li><\/ol><p><span style=\"font-weight: 400;\">A well-structured workflow means little without the technical precision to support it, which is why SQL becomes the foundation of most analyst interviews.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-65549a9 elementor-fixed elementor-widget elementor-widget-button\" data-id=\"65549a9\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;fixed&quot;,&quot;ekit_we_effect_on&quot;:&quot;onscroll&quot;,&quot;ekit_we_scroll_animation_value&quot;:20,&quot;ekit_we_scroll_smoothness&quot;:1000,&quot;ekit_we_scroll_offsetbottom&quot;:30,&quot;ekit_we_scroll_animation&quot;:&quot;translateY&quot;,&quot;ekit_we_scroll_offsettop&quot;:0}\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/mycareernet.in\/mycareernet\/jobs\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-external-link-alt\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Explore Your Next Move<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b1c334e e-flex e-con-boxed e-con e-parent\" data-id=\"b1c334e\" data-element_type=\"container\" data-e-type=\"container\" id=\"section5\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-19c199f elementor-widget elementor-widget-text-editor\" data-id=\"19c199f\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><span style=\"font-weight: 400;\">SQL interview questions for data analysts<\/span><\/h2><p><span style=\"font-weight: 400;\">SQL forms the backbone of most data analytics interview questions because analysts spend significant time querying relational databases. Interviewers examine how well you understand joins, aggregations, data storage structures, filtering, window functions, and methods to fix incorrect data values.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Strong SQL skills show that you can extract, combine, and summarise data points from multiple tables with accuracy and speed.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is Structured Query Language (SQL)?<\/span><\/h3><p><span style=\"font-weight: 400;\">SQL (Structured Query Language) is used to query and manipulate relational databases. Analysts use it for filtering, joining, grouping, summarising, and transforming data.<\/span><\/p><h3><span style=\"font-weight: 400;\">What are the common SQL commands used in daily analysis (SELECT, WHERE, ORDER BY)?<\/span><\/h3><p><span style=\"font-weight: 400;\">SELECT retrieves data from a database. WHERE filters rows, and ORDER BY sorts the results in ascending or descending order.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is an INNER JOIN?<\/span><\/h3><p><span style=\"font-weight: 400;\">An INNER JOIN retrieves matching records from two tables based on a related column. It is the most commonly used join.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is the difference between GROUP BY and HAVING?<\/span><\/h3><p><span style=\"font-weight: 400;\">GROUP BY groups rows into summary rows. HAVING filters groups after aggregation. WHERE cannot be used on aggregated results.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is a subquery?<\/span><\/h3><p><span style=\"font-weight: 400;\">A subquery is a query within another query, useful for filtering results based on dynamic conditions.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is ROW_NUMBER() and window functions?<\/span><\/h3><p><span style=\"font-weight: 400;\">ROW_NUMBER() assigns a unique number to each row in a window partition. Window functions help with ranking, running totals, and time-series analysis.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you extract the year from a date column?<\/span><\/h3><p><span style=\"font-weight: 400;\">Examples:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">SQL Server: YEAR(date_column)<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">MySQL: YEAR(date_column)<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">PostgreSQL: EXTRACT(YEAR FROM date_column)<\/span><\/li><\/ul><h3><span style=\"font-weight: 400;\">How do you handle NULL values?<\/span><\/h3><p><span style=\"font-weight: 400;\">NULL values represent missing data, so the first step is to understand why the value is missing and how it affects the analysis.<\/span><\/p><p><span style=\"font-weight: 400;\">Analysts typically use functions like COALESCE, IFNULL, or NVL to replace NULLs with an appropriate default, such as a mean, median, mode, or a domain-specific placeholder, ensuring the dataset remains reliable for further analysis.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you find the second highest salary?<\/span><\/h3><p><span style=\"font-weight: 400;\">You can retrieve the second highest salary by using a subquery that filters values below the maximum salary, or by applying a window function like <\/span><b>RANK()<\/b><span style=\"font-weight: 400;\"> or <\/span><b>DENSE_RANK()<\/b><span style=\"font-weight: 400;\"> to order salaries and select the row with rank 2.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Both approaches work well when analysing data with duplicates or repeated values.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you improve SQL performance?<\/span><\/h3><p><span style=\"font-weight: 400;\">Efficient SQL relies on smart indexing, clean query structure, and early data filtering to minimise resource use. Examining the execution plan helps pinpoint delays and guides improvements that make the query run smoothly.<\/span><\/p><p><span style=\"font-weight: 400;\">SQL proves you can access and organise information, but interviews also dig into how you process that information end-to-end, making Python the natural next area of evaluation.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f98284a elementor-fixed elementor-widget elementor-widget-button\" data-id=\"f98284a\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;fixed&quot;,&quot;ekit_we_effect_on&quot;:&quot;onscroll&quot;,&quot;ekit_we_scroll_animation_value&quot;:20,&quot;ekit_we_scroll_smoothness&quot;:1000,&quot;ekit_we_scroll_offsetbottom&quot;:30,&quot;ekit_we_scroll_animation&quot;:&quot;translateY&quot;,&quot;ekit_we_scroll_offsettop&quot;:0}\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/mycareernet.in\/mycareernet\/jobs\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-external-link-alt\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Explore Your Next Move<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1751894 e-flex e-con-boxed e-con e-parent\" data-id=\"1751894\" data-element_type=\"container\" data-e-type=\"container\" id=\"section6\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-52b197e elementor-widget elementor-widget-text-editor\" data-id=\"52b197e\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><span style=\"font-weight: 400;\">Python interview questions for data analysts<\/span><\/h2><p><span style=\"font-weight: 400;\">Python interview questions for data analysts often explore your ability to manipulate structured and unstructured data using libraries like Pandas, NumPy, and Matplotlib.<\/span><\/p><p><span style=\"font-weight: 400;\">Recruiters expect you to know how to clean datasets, handle missing data, perform data transformation, conduct EDA, and write efficient code. Python skills demonstrate how you automate tasks, analyse large datasets, and apply statistical methods to real data.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is Python used for in data analysis?<\/span><\/h3><p><span style=\"font-weight: 400;\">Python is widely used for data wrangling, statistical analysis, and exploratory data analysis because of its flexible syntax and powerful libraries. It also supports automation and machine learning workflows, making it a reliable tool for handling both simple and complex datasets.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is the difference between a list and a tuple?<\/span><\/h3><p><span style=\"font-weight: 400;\">Lists are mutable, allowing you to modify elements after creation, whereas tuples are immutable and remain fixed once defined. Tuples are also slightly faster, which makes them useful when handling constant values in analytical tasks.<\/span><\/p><h3><span style=\"font-weight: 400;\">Why are loops important?<\/span><\/h3><p><span style=\"font-weight: 400;\">Loops are essential for iterating through data efficiently and automating repeated operations. They help analysts process large datasets, apply logic across records, and structure data workflows more cleanly.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you load a CSV file in Python?<\/span><\/h3><p><span style=\"font-weight: 400;\">You can load a CSV file using Pandas by calling <\/span><span style=\"font-weight: 400;\">pd.read_csv()<\/span><span style=\"font-weight: 400;\">, which reads the data into a DataFrame for easy manipulation. This format is ideal for cleaning, filtering, and transforming data during analysis.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you remove duplicates in Pandas?<\/span><\/h3><p><span style=\"font-weight: 400;\">Duplicate rows can be filtered out using the library\u2019s built-in cleaning options, ensuring that only unique records remain. This keeps the dataset consistent and prevents misleading insights.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is NumPy used for?<\/span><\/h3><p><span style=\"font-weight: 400;\">NumPy provides fast numerical computing through vectorised operations and multi-dimensional arrays. It is particularly useful when performing mathematical calculations or preparing data for machine learning models.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you view summary statistics?<\/span><\/h3><p><span style=\"font-weight: 400;\">You can generate summary statistics using <\/span><span style=\"font-weight: 400;\">df.describe()<\/span><span style=\"font-weight: 400;\">, which gives a quick overview of distributions, counts, and key metrics. This is often the first step in understanding the structure and behaviour of a dataset.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you create a bar chart in Matplotlib?<\/span><\/h3><p><span style=\"font-weight: 400;\">A bar chart can be created using <\/span><span style=\"font-weight: 400;\">plt.bar(x, y)<\/span><span style=\"font-weight: 400;\">, followed by <\/span><span style=\"font-weight: 400;\">plt.show()<\/span><span style=\"font-weight: 400;\"> to display the output. It\u2019s a simple way to compare values across categories during initial data exploration.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you optimise Python code?<\/span><\/h3><p><span style=\"font-weight: 400;\">Performance improves when the code is written to work <\/span><i><span style=\"font-weight: 400;\">with<\/span><\/i><span style=\"font-weight: 400;\"> Python\u2019s strengths rather than against them, relying on efficient structures and reducing row-by-row operations wherever possible.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Thinking in terms of reusable, modular logic not only speeds execution but also makes the entire analysis pipeline cleaner and easier to scale.<\/span><\/p><h3><span style=\"font-weight: 400;\">You notice missing data in a dataset. How do you address it?<\/span><\/h3><p><span style=\"font-weight: 400;\">Start by identifying missing values using functions like <\/span><span style=\"font-weight: 400;\">df.isnull()<\/span><span style=\"font-weight: 400;\">, then choose an appropriate strategy such as imputation or removal based on the context. The goal is to preserve data quality without introducing bias into the analysis.<\/span><\/p><p><span style=\"font-weight: 400;\">After demonstrating how you work with data programmatically, interviews move deeper into the reasoning behind your analysis, the statistical foundations that guide every conclusion you draw.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f70ed56 elementor-fixed elementor-widget elementor-widget-button\" data-id=\"f70ed56\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;fixed&quot;,&quot;ekit_we_effect_on&quot;:&quot;onscroll&quot;,&quot;ekit_we_scroll_animation_value&quot;:20,&quot;ekit_we_scroll_smoothness&quot;:1000,&quot;ekit_we_scroll_offsetbottom&quot;:30,&quot;ekit_we_scroll_animation&quot;:&quot;translateY&quot;,&quot;ekit_we_scroll_offsettop&quot;:0}\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/mycareernet.in\/mycareernet\/jobs\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-external-link-alt\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Explore Your Next Move<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9200eb0 e-flex e-con-boxed e-con e-parent\" data-id=\"9200eb0\" data-element_type=\"container\" data-e-type=\"container\" id=\"section7\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-491b8ec elementor-widget elementor-widget-text-editor\" data-id=\"491b8ec\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><span style=\"font-weight: 400;\">Statistics interview questions for data analysts<\/span><\/h2><p><span style=\"font-weight: 400;\">Statistical concepts are essential for analysing data and interpreting outcomes correctly. Interviewers frequently test your understanding of distributions, hypothesis testing, summary statistics, regression analysis, correlation analysis, and univariate, bivariate, and multivariate techniques.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">These questions help employers assess whether you can apply the right methods to identify patterns and validate conclusions.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is the difference between mean and median?<\/span><\/h3><p><span style=\"font-weight: 400;\">The mean reflects the overall average, while the median represents the central point in the data. The median offers a more reliable picture when the dataset contains outliers or extreme values, making it especially useful in skewed distributions.<\/span><\/p><h3><span style=\"font-weight: 400;\">What are the four measurement scales?<\/span><\/h3><p><span style=\"font-weight: 400;\">The four measurement scales are nominal, ordinal, interval, and ratio. Each scale determines the type of statistical methods you can apply and how meaningful comparisons between values can be.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is standard deviation?<\/span><\/h3><p><span style=\"font-weight: 400;\">Standard deviation indicates how spread out the values are from the mean. A high value shows greater variability, while a low value suggests that most points lie close to the centre.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is conditional probability?<\/span><\/h3><p><span style=\"font-weight: 400;\">Conditional probability measures the chance of an event occurring when another event has already taken place. It helps analysts understand dependencies and refine interpretations of real-world behaviour.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is a normal distribution?<\/span><\/h3><p><span style=\"font-weight: 400;\">A normal distribution is a symmetrical, bell-shaped pattern where most values cluster around the mean. It is widely used because many natural and business processes naturally follow this form.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is sampling bias?<\/span><\/h3><p><span style=\"font-weight: 400;\">Sampling bias occurs when the sample does not accurately represent the population, leading to distorted insights. It often stems from flawed selection methods or uneven participation.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is the null hypothesis?<\/span><\/h3><p><span style=\"font-weight: 400;\">The null hypothesis states that there is no meaningful effect or difference between groups. Analysts test it to determine whether observed patterns are statistically significant or simply due to chance.<\/span><\/p><h3><span style=\"font-weight: 400;\">Is correlation equal to causation?<\/span><\/h3><p><span style=\"font-weight: 400;\">No. Correlation simply shows that two variables move together, while causation means one variable directly influences the other. Analysts must investigate context and supporting evidence before drawing conclusions.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is regression analysis?<\/span><\/h3><p><span style=\"font-weight: 400;\">Regression analysis examines how a dependent variable changes in response to one or more predictors. It helps analysts quantify relationships, identify important drivers, and evaluate the impact of different factors, whether through linear or logistic models.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you identify outliers?<\/span><\/h3><p><span style=\"font-weight: 400;\">Outliers can be detected by examining deviations from typical ranges, comparing values against distribution-based thresholds, or using visual tools like box plots. The aim is to spot points that behave differently from the rest of the dataset.<\/span><\/p><p><span style=\"font-weight: 400;\">With spreadsheet-level analysis covered, interviews shift to the BI tools that organisations rely on for real-time visibility, making this the natural next stage in your preparation.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7db8dd4 elementor-fixed elementor-widget elementor-widget-button\" data-id=\"7db8dd4\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;fixed&quot;,&quot;ekit_we_effect_on&quot;:&quot;onscroll&quot;,&quot;ekit_we_scroll_animation_value&quot;:20,&quot;ekit_we_scroll_smoothness&quot;:1000,&quot;ekit_we_scroll_offsetbottom&quot;:30,&quot;ekit_we_scroll_animation&quot;:&quot;translateY&quot;,&quot;ekit_we_scroll_offsettop&quot;:0}\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/mycareernet.in\/mycareernet\/jobs\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-external-link-alt\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Explore Your Next Move<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fc184bd e-flex e-con-boxed e-con e-parent\" data-id=\"fc184bd\" data-element_type=\"container\" data-e-type=\"container\" id=\"section8\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-720a5b3 elementor-widget elementor-widget-text-editor\" data-id=\"720a5b3\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><span style=\"font-weight: 400;\">Excel interview questions for data analysts<\/span><\/h2><p><span style=\"font-weight: 400;\">Despite the rise of advanced tools, Excel remains crucial for data profiling, quick analysis, and summarising data points. Interviewers often ask data analyst fresher interview questions about lookup functions, PivotTables, conditional formatting, handling large datasets, and using formulas for data aggregation. Excel proficiency helps analysts clean data, transform values, and prepare datasets for further analysis.<\/span><\/p><h3><span style=\"font-weight: 400;\">Which functions are most useful in analytics?<\/span><\/h3><p><span style=\"font-weight: 400;\">Functions that support lookups, conditional calculations, date handling, and text manipulation are especially valuable for analysis. They help you organise information, compare categories, and summarise data efficiently without switching tools.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you remove duplicates?<\/span><\/h3><p><span style=\"font-weight: 400;\">Excel provides built-in cleaning options that scan for repeated rows and remove them in seconds. This ensures your summaries and insights aren\u2019t distorted by inflated or duplicated values.<\/span><\/p><h3><span style=\"font-weight: 400;\">Why is XLOOKUP better than VLOOKUP?<\/span><\/h3><p><span style=\"font-weight: 400;\">XLOOKUP offers greater flexibility, allowing you to look up values in any direction and handle mismatches more gracefully. This makes it more reliable when working with evolving spreadsheets or complex datasets.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is a PivotTable used for?<\/span><\/h3><p><span style=\"font-weight: 400;\">A PivotTable helps you break down large datasets into clear summaries by grouping and aggregating information. It is one of the fastest ways to spot trends and compare categories without writing formulas.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you highlight values above average?<\/span><\/h3><p><span style=\"font-weight: 400;\">You can use conditional formatting rules that automatically compare each value with the dataset\u2019s average and emphasise the ones that stand out. It\u2019s a quick way to identify unusual or important patterns.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you improve performance?<\/span><\/h3><p><span style=\"font-weight: 400;\">Performance improves when you minimise heavy formulas, keep your data structured, and remove unnecessary elements. These steps make Excel more responsive, especially when working with thousands of rows.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is SUMIFS?<\/span><\/h3><p><span style=\"font-weight: 400;\">It allows you to calculate totals based on multiple conditions, giving you precise control over what gets counted or summed. This is especially useful when analysing trends across different segments or categories.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you restrict inputs?<\/span><\/h3><p><span style=\"font-weight: 400;\">You can set validation rules that limit entries to specific formats, ranges, or categories. This prevents errors early and keeps your dataset consistent, especially when multiple people contribute to the file.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you autofill formulas quickly?<\/span><\/h3><p><span style=\"font-weight: 400;\">Excel allows you to replicate formulas instantly across rows or columns using simple automation features. It speeds up repetitive work and reduces the risk of manual mistakes.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you find duplicate records across two sheets?<\/span><\/h3><p><span style=\"font-weight: 400;\">You compare values between the sheets using Excel\u2019s lookup or highlighting tools to flag matches or duplicates. This is a common task when merging datasets from different sources.<\/span><\/p><p><span style=\"font-weight: 400;\">In most teams, Excel handles the groundwork, but dashboards drive decisions. Naturally, interviews shift from spreadsheet skills to your fluency with BI tools.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c5fd3a elementor-fixed elementor-widget elementor-widget-button\" data-id=\"5c5fd3a\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;fixed&quot;,&quot;ekit_we_effect_on&quot;:&quot;onscroll&quot;,&quot;ekit_we_scroll_animation_value&quot;:20,&quot;ekit_we_scroll_smoothness&quot;:1000,&quot;ekit_we_scroll_offsetbottom&quot;:30,&quot;ekit_we_scroll_animation&quot;:&quot;translateY&quot;,&quot;ekit_we_scroll_offsettop&quot;:0}\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/mycareernet.in\/mycareernet\/jobs\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-external-link-alt\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Explore Your Next Move<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0d8fe66 e-flex e-con-boxed e-con e-parent\" data-id=\"0d8fe66\" data-element_type=\"container\" data-e-type=\"container\" id=\"section9\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3a7bcd3 elementor-widget elementor-widget-text-editor\" data-id=\"3a7bcd3\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><span style=\"font-weight: 400;\">Power BI \/ Tableau data analyst interview questions<\/span><\/h2><p><span style=\"font-weight: 400;\">Data visualisation tools like Power BI and Tableau are central to presenting insights clearly. Interviewers often explore your understanding of dashboards, data models, filters, DAX (in Power BI), and best practices for summarising data visually. These questions test whether you can convert complex data sets into intuitive visual stories that support data-driven decision making.<\/span><\/p><p><span style=\"font-weight: 400;\">BI tools like Power BI and Tableau help transform data into interactive dashboards and visual insights.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is a dashboard?<\/span><\/h3><p><span style=\"font-weight: 400;\">A dashboard is a visual summary that brings important metrics, charts, and trends together in one place, helping users understand performance at a glance. Its purpose is to highlight what matters most and allow quick comparisons without digging through raw data.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is DAX in Power BI?<\/span><\/h3><p><span style=\"font-weight: 400;\">DAX is a calculation language used to create custom measures and logic within Power BI models. It helps analysts add depth to their dashboards by turning raw data into meaningful, context-aware insights.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do slicers and filters work?<\/span><\/h3><p><span style=\"font-weight: 400;\">Slicers and filters let users interact with the dashboard by narrowing data to specific categories, time periods, or segments. This makes exploration more intuitive and helps uncover patterns that might be hidden at a broader level.<\/span><\/p><h3><span style=\"font-weight: 400;\">What is data modelling in BI tools?<\/span><\/h3><p><span style=\"font-weight: 400;\">Data modelling defines how tables connect, ensuring that relationships reflect how the business actually works. A well-structured model improves the accuracy of calculations and makes dashboards behave predictably when users apply filters.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you publish dashboards?<\/span><\/h3><p><span style=\"font-weight: 400;\">Publishing dashboards involves pushing them to a shared workspace where teams can access, interact with, and collaborate on insights. This ensures consistent reporting and makes it easier to keep everyone aligned.<\/span><\/p><h3><span style=\"font-weight: 400;\">How do you design a dashboard for sales performance?<\/span><\/h3><p><span style=\"font-weight: 400;\">Start by highlighting the key metrics that reflect overall performance, then support them with trends, category-level comparisons, and interactive filters. The layout should guide the viewer naturally from what is happening to why it is happening.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-28146b8 elementor-widget elementor-widget-text-editor\" data-id=\"28146b8\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<blockquote class=\"wp-block-quote\"><p><span style=\"font-weight: 400;\">\ud83d\udca1<strong>Final tip for your next data analyst interview<\/strong><\/span><\/p><p><span style=\"font-weight: 400;\">Freshers should focus on explaining how they analyse data, ensure data integrity, handle missing or inconsistent data, and apply statistical techniques effectively.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Need resume guidance? <\/span><b>Refer to data analyst resume for freshers<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><\/blockquote>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f5266de elementor-widget elementor-widget-text-editor\" data-id=\"f5266de\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Once you are comfortable with SQL, Python, statistics, and common data analytics interview questions, the next step is to apply your skills in real opportunities. Look for roles that let you work with real datasets, build dashboards, clean and transform data, and contribute to data-driven projects.<\/span><\/p><p><span style=\"font-weight: 400;\">Check out available listings under: <\/span><b>Data analyst jobs<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eef199b elementor-fixed elementor-widget elementor-widget-button\" data-id=\"eef199b\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;fixed&quot;,&quot;ekit_we_effect_on&quot;:&quot;onscroll&quot;,&quot;ekit_we_scroll_animation_value&quot;:20,&quot;ekit_we_scroll_smoothness&quot;:1000,&quot;ekit_we_scroll_offsetbottom&quot;:30,&quot;ekit_we_scroll_animation&quot;:&quot;translateY&quot;,&quot;ekit_we_scroll_offsettop&quot;:0}\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/mycareernet.in\/mycareernet\/jobs\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-external-link-alt\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Explore Your Next Move<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5064eba e-flex e-con-boxed e-con e-parent\" data-id=\"5064eba\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e60c99f elementor-widget elementor-widget-text-editor\" data-id=\"e60c99f\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><span style=\"font-weight: 400;\">Strengthen your interview preparation with MyCareernet<\/span><\/h2><p><span style=\"font-weight: 400;\">Preparing for your next data analyst interview goes beyond learning concepts \u2014 you also need the right platform to apply your skills, practise with real assessments, and access opportunities that match your strengths. MyCareernet connects freshers to employers, challenges, and resources designed to help you demonstrate your capabilities with confidence.<\/span><\/p><p><span style=\"font-weight: 400;\">\ud83d\udc49 <\/span><a href=\"https:\/\/mycareernet.in\/mycareernet\"><span style=\"font-weight: 400;\">Register now on MyCareernet for free<\/span><\/a><span style=\"font-weight: 400;\"> and turn your data analysis preparation into real interview confidence.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1482caf elementor-fixed elementor-widget elementor-widget-button\" data-id=\"1482caf\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;fixed&quot;,&quot;ekit_we_effect_on&quot;:&quot;onscroll&quot;,&quot;ekit_we_scroll_animation_value&quot;:20,&quot;ekit_we_scroll_smoothness&quot;:1000,&quot;ekit_we_scroll_offsetbottom&quot;:30,&quot;ekit_we_scroll_animation&quot;:&quot;translateY&quot;,&quot;ekit_we_scroll_offsettop&quot;:0}\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/mycareernet.in\/mycareernet\/jobs\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-external-link-alt\"><\/i>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Explore Your Next Move<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1c6f753a e-flex e-con-boxed e-con e-parent\" data-id=\"1c6f753a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-78bc89c0 e-con-full e-flex e-con e-child\" data-id=\"78bc89c0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-7bfa5609 e-con-full author-box e-flex e-con e-child\" data-id=\"7bfa5609\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-60cd623f e-con-full e-flex e-con e-child\" data-id=\"60cd623f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-41abafe elementor-widget elementor-widget-image\" data-id=\"41abafe\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"500\" height=\"500\" src=\"https:\/\/mycareernet.co\/blogs\/wp-content\/uploads\/2025\/09\/MyCareernet_Logo.jpg\" class=\"attachment-full size-full wp-image-25691\" alt=\"MyCareernet\" srcset=\"https:\/\/mycareernet.co\/blogs\/wp-content\/uploads\/2025\/09\/MyCareernet_Logo.jpg 500w, https:\/\/mycareernet.co\/blogs\/wp-content\/uploads\/2025\/09\/MyCareernet_Logo-300x300.jpg 300w, https:\/\/mycareernet.co\/blogs\/wp-content\/uploads\/2025\/09\/MyCareernet_Logo-150x150.jpg 150w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-294bf715 e-con-full e-flex e-con e-child\" data-id=\"294bf715\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5fce1e6 elementor-widget elementor-widget-heading\" data-id=\"5fce1e6\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">MyCareernet<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f197104 elementor-widget elementor-widget-heading\" data-id=\"f197104\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Author<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-389aa8ec elementor-widget elementor-widget-text-editor\" data-id=\"389aa8ec\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>MyCareernet brings expert insights and tips to help job seekers crack interviews and grow their careers.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The concept of a multi-brand system has gained traction, allowing businesses to manage various brands.<\/p>\n","protected":false},"author":3,"featured_media":27475,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30],"tags":[],"class_list":["post-27224","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-interview-preparation"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/mycareernet.co\/blogs\/wp-json\/wp\/v2\/posts\/27224","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mycareernet.co\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mycareernet.co\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mycareernet.co\/blogs\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/mycareernet.co\/blogs\/wp-json\/wp\/v2\/comments?post=27224"}],"version-history":[{"count":105,"href":"https:\/\/mycareernet.co\/blogs\/wp-json\/wp\/v2\/posts\/27224\/revisions"}],"predecessor-version":[{"id":27449,"href":"https:\/\/mycareernet.co\/blogs\/wp-json\/wp\/v2\/posts\/27224\/revisions\/27449"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mycareernet.co\/blogs\/wp-json\/wp\/v2\/media\/27475"}],"wp:attachment":[{"href":"https:\/\/mycareernet.co\/blogs\/wp-json\/wp\/v2\/media?parent=27224"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mycareernet.co\/blogs\/wp-json\/wp\/v2\/categories?post=27224"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mycareernet.co\/blogs\/wp-json\/wp\/v2\/tags?post=27224"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}