In data analytics, data cleaning isn’t always exciting, but preparing data can be fun and challenging when treated as a problem-solving exercise.
Data cleaning also involves resolving missing and inconsistent data that may affect analysis. That means this skill is vital.Ī data analyst will commonly need to retrieve data from one or more sources and prepare it for numerical and categorical analysis. Research shows that data cleaning and preparation will consist of about 80% of the work of most data professionals. Here are the eight most important data analyst skills:Īnd here’s an explanation of each. Here’s what you’ll need to do as a data analyst (not how to do it).
What Skills Does a Data Analyst Need?īecause the data science tools you will use vary depending on the role, the company, or the industry, we learned to focus on skills and not on tools (like Python, R, SQL, Excel, Tableau, Power BI, etc.). However, which skills are the most important to land a data analysis job? To answer that question, we performed many hours of research, including interviews with data analysts, data scientists, and hiring managers. On a typical day, a data analyst might use the following skills:Ĭommunication skills to report their findings J8 Data Analyst Skills Employers Need to See in 2023 What is a Data Analyst?Ī data analyst is someone who uses technical skills to analyze data and report insights.
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