When being interviewed for a data analyst job role, candidates want to do everything that can let the interviewer see their communication skills, analytical skills and problem solving abilities. If you are aspiring to be a data analyst then the core competencies that you should be familiar with are distributed computing frameworks like Hadoop and Spark, knowledge of programming languages like Python, R, SAS, data munging, data visualization, math, statistics, and machine learning. As data analysts salaries continue to rise with the entry-level data analyst earning an average of $50,000-$75,000 and experienced data analyst salary ranging from $65,000-$110,000, many IT professionals are embarking on a career as a Data analyst. The end goal of a data analyst is to provide organizations with reports that can contribute to faster and better decision making process. The job role of a data analyst involves collecting data and analyzing it using various statistical techniques. Data analysts are in great demand and sorely needed with many novel data analyst job positions emerging in business domains like healthcare, fintech, transportation, retail, etc. Robert Half Technology survey of 1400 CIO’s revealed that 53% of the companies were actively collecting data but they lacked sufficient skilled data analysts to access the data and extract insights. The #1 most important question in your interview is "What experience do you have?" We have collected a library of solved Data Science use-case code examples that you can find here. If you are planning to appear for a data analyst job interview, these interview questions for data analysts will help you land a top gig as a data analyst at one of the top tech companies. This list of data analyst interview questions is based on the responsibilities handled by data analysts.However, the questions in a data analytic job interview may vary based on the nature of work expected by an organization.