A data analyst is a person who uses technical skills to analyze data and report insights. A data analyst on a business day may use SQL skills to retrieve data from a database, use programming skills to analyze that data, and then use communication skills to report results to a wider audience. Working as a data analyst also provides an experience that can be useful for stepping into more advanced roles such as Data Scientist.
How can an analyst be hired?
- Learn technical skills (SQL and data analysis in Python or R).
- Learn statistical principles.
- Build data analytics projects that demonstrate your soft and hard skills.
If you have decided to become a data analyst (or perhaps your goal is to become a data scientist), you need to learn data analytics skills to be able to achieve your goals. But what will these skills be? In this article, we will review the 8 key skills needed to hire you as a data analyst.
What skills does a data analyst need?
At the outset, keep in mind that in this article we will focus on skills rather than tools (such as Excel, Python, R, SQL, Tableau software, etc.). The tools – and how they work – will vary depending on your exact role, the company that hires you, and the industry in which you work. You can learn data analysis skills and use them with tools you know.
1- Cleaning and preparing data skills for Data Analyst
Research shows that data preparation and cleaning account for about 80% of the work of data professionals. As a result, it is one of the most important skills for a data analyst. The data analyst must retrieve data from one or more sources, prepare them, and be ready for numerical analysis and classification. Data cleansing also involves handling lost and inconsistent data that may affect the analysis.
Data cleansing is not always considered an exciting task, but if it is treated as a problem-solving exercise, it can be a lot of fun to prepare the right data for analysis. In any case, this is where most data projects start, so if you want to become a data analyst, this is an important skill you will need.
2- Analysis and exploration of data
Analyzing data means taking a question or business need and turning it into a question with a logical answer. Then, to extract the answer to this question, you must modify and analyze the data. Another form of data analysis is the exploratory method. This method shows the way to explore the data, looking for interesting trends or relationships in the data that can create value for the business.
Exploration may be guided by a key question. By searching for patterns and digging into data, you may encounter an opportunity for businesses to reduce costs or increase growth.
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3- Statistical knowledge
Having a strong foundation in the field of probability and statistics is an important skill in data analysis. This knowledge will help guide analysis and exploration and help you understand the data you are working with. In addition, understanding the statistics will help you to ensure that your analysis is valid and to avoid common misconceptions and logical errors.
The exact level of statistical knowledge required will vary depending on the requirements of your particular role and the data you are working with. For example, if your company relies on potential analytics, you will need a more accurate understanding of those areas.
4- Data visualization skill for Data Analyst
Data visualization describes the trends and patterns in the data. Humans are image-dependent, and most people cannot gain meaningful insight by looking at a large page of numbers. As a data analyst, you should be able to create charts and diagrams to help visualize the communication between your data and your findings.
This means creating visually clean charts that help others understand the data. It also means avoiding things that are difficult to interpret (such as pie charts) or that can be misleading (such as manipulating axial values).
5- Creating a dashboard/report
As a data analyst, you need to empower others in the organization to use the data to make key decisions. By creating dashboards and reports, by removing technical barriers, you allow others to access important data. This may be in the form of a simple table with historical filters, to a large dashboard containing hundreds of data points that are interactive and automatically updated. Job needs vary greatly from situation to situation, but the job of any data analyst is to report on his or her findings or create a dashboard to display them.
The result of the Skill Data Analyst speech
A data analyst is a person who scrutinizes information using a data analysis tool. Also, the significant results he obtains from raw data, by identifying different facts and trends, help his employers or customers to make important decisions. To achieve such a position, the data analyst needs important skills, 8 of which we have examined in the present text.