Data Analyst Interview Questions and Answers

Data Analyst Interview Questions : Data Analysts deliver value to their companies by taking data, using it to answer questions, and communicating the results to help make business decisions. Common tasks done by data analysts include data cleaning, performing analysis and creating data visualizations. Companies in nearly every industry hire data analyst, from healthcare providers to retail stores to fast food chains. The insights that data analysts bring to an organization can be valuable to employers who want to know more about the needs of their consumer or end user. Regardless of which industry they work in, data analysts can expect to spend their time developing systems for collecting data and compiling their findings into reports that can help improve their company.

The main tasks of data analysts are to collect, manipulate and analyze data. They prepare reports, which may be in the form of visualizations such as graphs, charts and dashboards, detailing the significant results they deduced. Data analysts guard and protect the organization’s data, making sure that the data repositories produce consistent, reusable data. They go about doing all these tasks in a technical and systematic way, using the standard formulas and methods as are common in the industry and relevant to the current data. For example, data analysts might perform basic statistics such as variations and averages. They also might predict yields or create and interpret histograms. They use standard methods in all stages including collection, analysis and reporting.

Data analysis is a highly transferable skill and can open the door to many interesting jobs across the private and public sector, from banks to utility companies, and councils to the police.

These are some common tools in a data analyst’s tool belt:

  • Excel
  • SQL
  • Google Analytics
  • Visual Website Optimizer
  • Google Tag Manager
  • Tableau
  • Google AdWords and more. 

Read :Datascience Interview Questions and Answers

Read :Machine Learning Interview Questions and Answers

Scroll to Top