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A data analyst collects, cleans, and understands data sets to respond to questions or solve problems. They work in many industries, including business, finance, criminal justice, science, medicine, and government.

You may have to answer these types of questions as a data analyst. Read on to learn more about what a data analyst is, what skills you need, and how to become a data analyst.

What is data analysis?

Data analysis is gathering insights from data to inform better business decisions. The data analysis process typically moves through five iterative phases:

  • Identify the data you want to analyze
  • Collect the data
  • Clean data in preparation for analysis
  • Analyze the data
  • Interpret the analysis results

Data analysis can take many forms, depending on the questions you want to answer. You can read more about types of data analysis here. In short, descriptive analytics tells us what happened; diagnostic analytics tells us why it occurred; prognostic analytics forms forecasts about the future, and prescriptive analytics provides actionable suggestions about actions to take.

What tools do data analysts use?

Analysts often use various tools to make their work more accurate and efficient during the data analysis process. Some of the most common tools in the data analysis industry include:

  • Microsoft Excel
  • Google Sheets
  • SQL
  • Tableau
  • R or Python
  • SAS
  • Microsoft Power BI
  • Jupyter Notebook

Data analyst salary and job outlook

According to Glassdoor, the regular base salary for a data analyst in the US was $69,517 as of December 2021. It may vary depending on your seniority, your location in the US, and other factors.

Data analysts are in high demand. The World Economic Forum ranks it second in terms of job growth in the US [1]. The Bureau of Labor Figures also reports related occupations have very high development rates.

From 2020 to 2030, operations investigation analyst positions are predicted to grow by 25 percent, market research analysts by 22 percent, and statisticians and statistics experts by 33 percent. This figure is much higher than the total employment growth rate of 7.7 percent.

Data analyst career advancement

Becoming a data analyst can also open doors to other careers. Many people who start as data analysts later work as data scientists. Data scientists use statistics, mathematics, and computer science to analyze data like analysts. However, a scientist may use advanced techniques to create models and other tools to provide insight into future trends.

Start improving your data analyst services today.

If you’re ready to start exploring a vocation as a data analyst, shape job-ready services in less than six months with the Google Data Analytics Expert Diploma on Coursera. Absorb how to clean, organize, analyze, visualize, and present data from data professionals at Google.

Consider Google’s Advanced Data Analytics Professional Certificate if you’re ready to expand your existing data science skills to qualify for in-demand positions like junior data scientist and data science analyst.

Data Analyst Write for Us, Guest Post, Contribute, and Submit Post

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