You can become a data analyst without any prior knowledge if you have the required talents for the position. Why is that? The data industry, among other things, is exploding at a rapid pace. In fact, according to the World Economic Forum’s Jobs of Tomorrow Report, data occupations are among those with the highest employment growth rates.
In addition, there is a skills gap in the market. According to an NTUC Learning Hub study, 93% of employees stated that their workforce is not adequately productive because of a lack of data skills. You may be able to help by taking action.
Finally, some of the abilities necessary in data analytics are translatable to other professions. Attention to detail, research skills, cooperation, and data visualization are all desirable talents.
How To Become a Data Analyst With No Experience
The first step is to acquire the necessary talents. After that, you must choose your professional path. Finally, start promoting yourself as a data analyst, network, and move up the ranks of data analytics career ladder.
Here are the criteria you need to fulfill in order to become a data analyst:
Determine Your Ideal Career Path
If you want to work from home, freelance data analysis may be a fantastic option for you. You can work as a consultant at businesses once you have a substantial client base.
As a beginner, you may start as a data analyst and become a data scientist after improving your programming abilities or earning a data science degree.
The path to becoming a senior data analyst is different for every person. Another option for younger data analysts is to improve their abilities and expertise to become senior data analysts. If you have enough leadership skills, you can eventually be promoted to manager or Chief Technology Officer from there.
Some companies require employees in managerial positions to have a Master’s degree focusing on data analytics. So, if you plan on steering your career path towards management, consider getting a relevant higher degree along the way.
Choose a specialty area if you want your job’s route to be specialized. If you improve your marketing abilities, for example, as an entry-level data analyst, you can go on to become a marketing analyst.
You may also use a marketing or operations analyst title to express your desire for more IT-oriented possibilities. However, if you want more tech possibilities, seek after the rank of marketing or operations analyst after sufficient experience. Basically, you must choose your professional path depending on your financial objectives and personal preferences.
Take a Course or Get a Certificate
Once you’ve decided on a career path, enroll in a data analyst course or certification. Look for an extensive one so that you can apply for different job titles in the field.
The benefits of a Data Analytics curriculum include:
- Mentorship: One-on-one mentorship is essential for the finest data analytics education. It not only helps young or career-changing professionals to get feedback on their work, but it also aids newcomers in getting feedback on their projects.
- Data Analytics Learning: A well-curated data analytics course will also help you improve your existing skills and create new ones to succeed in the sector..
- If you want to acquire an entry-level data analyst position, you should get career counseling from industry specialists. The majority of the world’s best data analytics courses provide a job promise as well as career guidance to help you get started in the profession.
- Hands-on curriculum: Even if you read every book on data analytics, it won’t teach you how to operate in the real world. On the other hand, a well-structured course will teach you about data analytics ideas with curated resources and practical exercises. After that, you may use these projects to construct your portfolio.
The Springboard Data Analytics Bootcamp is a decent alternative if you’re looking for greater hands-on experience. You get unlimited mentor help, practical experience, and career assistance from industry experts with this program.
Refine the Skills Needed for Your Target Job
Once you’ve completed the preceding steps, you should have a firm grasp of the industry, as well as some rudimentary abilities. You must now link your subsequent actions with your intended profession. Determine which of your current soft skills need to be improved and which ones are adequate.
You may have excellent research abilities but lack the communication skills to effectively convey results. Keep in mind that senior analysts must deliver their findings to company executives and stakeholders.
Consider Related Jobs Where You Can Transfer into Data Analytics
To develop your abilities, you may need to work in a data analytics-related field. Working as a data entry operator is one way to start. Your major duty in this position would be to log data receipts and convert paper forms into computer formats. You can gradually move up the ranks by improving your analytical skills.
Spend some time determining your soft and core abilities. Consider how you can turn your skills into data analytics. Do you need to learn new talents?
Perhaps you have significant marketing expertise and understand the fundamentals of analytics. These abilities may be used to analyze data as a marketing data analyst.
You don’t have to be a coder, but you do need some programming skills. Python and other data analytics tools are not prerequisites for this profession; however, it is necessary to obtain new talents like as learning Python and other data analytics tools that will eventually get you a job in the field.
This article is posted on CoffeeChat.
