22 Jul 2022
8 In-Demand Data Analyst Skills For 2022| Ekeeda
Ekeeda Moderator
Works at Ekeeda
Due to the data science tools, your role will vary based on the company, sector, process, or industry. Thus, we have to focus on skills and not on tools such as SQL, Tableau, Power BI, etc.
Here are the eight must data analysts’ skills you need to ace the game:
Let’s understand them one by one in detail:
Data Cleaning & Preparation
Data cleaning & preparation will consist of about 70-80% of the work of most data professionals. Thus, it’s one of the vital data science skills. A data analyst will commonly require to retrieve data from one or more sources and prepare it for numerical and categorical analysis. Data cleaning will also involve resolving missing and data inconsistencies that will affect the analysis. Data cleaning in data analytics might not always be exciting, but data preparation is challenging yet fun when treated with problem-solving skills; we’ll come to that in a later part of our blog.
Data Analysis & Exploration
Data analysis is one of the crucial skillsets that you need to possess in your arsenal. Another important skill includes data exploration. Data exploration mainly includes looking for the interesting trends or relationships in the data that bring value to the business or key areas for profits. A business question might guide exploration, but it might also be relatively unguided. When looking for data patterns, you may come across various opportunities for the business to decrease costs or increase growth.
Interested in this skill? Check out our beginner-friendly data analytics online training courses.
Statistical Knowledge
Probability & statistics are important data analyst skills that go hand-in-hand. This knowledge will guide your analysis & exploration and also help you decipher the data. Additionally, understanding statistics will also help you to make sure your analysis is valid, and avoid common faults & logical errors. The kind of statistical knowledge you require will vary based on the demands of your particular role & the data you work with. For instance, if your company relies on probabilistic analysis, then you’ll need a deep understanding of such areas
Create Data Visualizations
Data visualizations will clarify data trends & patterns. Humans are visual creatures — which means people understand charts or graphs better and quicker than a spreadsheet presented to them. Thus creating clean, visually compelling charts will help others to understand your discoveries. It also means avoiding things that are either difficult to interpret (such as pie charts) or that can be misleading (like manipulating axis values). Visualizations even prove very important in your data exploration. Sometimes, there are things that you can see visually in data that want to be visible when you look through numbers and figures. It’s rare to find a data science role that won’t need data visualization, and thus it becomes a key data analyst skill.
Interested in this skill? Learn in-depth about Data Visualization through Ekeeda Data Science Program
Create Dashboards & Reports
As a data analyst, you’ll need to help others to take key business decisions with confidence. By building dashboards & reports, you’ll give others access to data that is free of technical barriers. This might take the form of a simple chart & a table with date filters, or it may be a sophisticated dashboard that will contain hundreds of interactive data points. The job description and need might vary from process to process, but every data analyst has to produce reports on their findings or build dashboards to showcase them.
Written & Communication Skills
The ability to talk and communicate in various forms might be an out-of-the-box yet important data analyst skill. Communication skills are all about Writing, speaking, explaining, and listening to others that will help you achieve your analytical goals and convey the right message to stakeholders, fellow employees, and clients. Communication is the key when you collaborate with your colleagues. For instance, in a meeting with business stakeholders, you need to carefully listen to help you better understand the analyses they require. Similarly, during your project, you need skills to explain complex topics to non-technical teammates in layman’s terms. Written communication is also equally important — especially when you write a summary or report to explain the data discovery, analysis, and exploration. To communicate clearly & directly is a skill that will advance your data career. It will be a “soft” skill, but don’t underestimate it. Even the best analytical skills prove worthless if you can’t explain what they mean and if you can’t convince the audience to work or act on your discoveries.
Domain Knowledge
It’s about understanding the topics and findings that are specific to the industry or the type of company you’re working for. For instance, if you’re working for a cab service, then you need to understand the nuances of travelling rules, roads, pick and drop, charges, etc. If you’re analyzing data about mechanical systems, then you might need to understand how these specific systems work. No matter where you work if you don’t understand what you analyze then you won’t be able to execute your work in a proper way and making things difficult for you. It’s certainly something that you can adapt and learn on the job. However, if you know a specific industry or area you’d like to work in, then build as much understanding as you can to make you more attractive for the job position and - a more favourable employee once you get the job.
Problem-Solving
Last and not least, as a data analyst you will come across a lot of problems, bugs, and roadblocks in a typical day’s time. Being able to solve problems in your style is another key skill that will prove valuable as a data analyst.
Some possible scenarios that you should learn to handle with skills:
But whatever may be the circumstances, strong problem-solving skills will an incredible asset in your arsenal as a data analyst.
Other Data Analyst Skills
The exact definition of ‘data analyst’ will vary based on your company and process, so not necessarily all of these skills are required for a data analyst. Similarly, there may be skills some companies will need it might not be on this list. Our focus is to develop skill sets that most data analyst roles require in order to create the best data analyst learning paths for aspirants.
Grab The Best Data Analyst Jobs
If you want to build your technical skills you need to successfully get a data analyst job in the market, for this, you can check out our interactive data science online course. This course is taught by world-class data practitioners, with an industry-relevant curriculum & capstone projects that give insights into real-world projects and working. Ekeeda unique and project-based learning style will help you develop confidence, learn quickly and retain concepts to stand out from the rest. Learndata science skills you need to work as a data analyst with the top edtech platform. Sign up now and get access to interactive Data Science with Python, R, and SQL content.
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