It is possible to be a data analyst even with no experience. You can start a career from the bottom and still reach higher levels. Even with no industry experience, you can get started on a promising career as a data analyst. Different factors make the data analyst market such a good choice for beginners. One of them is how fast and significantly the industry is growing. There is a skill gap that needs to be filled. In data analysis, transferable skills are very important and valuable.
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The boom in data analytics
There is rapid growth in data analytics if data from recent years is anything to go by. The market will grow even further in the coming years. The rapid growth can be seen in the analytics job market. Today, artificial intelligence and data have the most significant chunk in growth. This means better job opportunities for professional data analysts since more demand than supply exists.
The talent shortage in data analytics
The growth in the data market is excellent, and many businesses want to keep up. Data-driven companies thrive more than those that ignore data. You need to figure out the best option in the market, regardless of your industry. There is a data skill gap, so learning makes you marketable. You need to hire professionals with the needed data skillets to reach optimal productivity levels.
The things we see today in data analytics are:
- Companies are investing heavily in big data projects
- If people don’t take up the task and learn data science and analytics, there will be a shortage of professionals in some years to come
- It is hard to find skilled professionals in data science and analytics
This means that there is a high demand for data analysts. This gives newcomers great chances. Jobs are available, and when you can master and demonstrate the needed skills, you can thrive in the career.
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Apart from the demand for data analysts, you need different skills. Most of the skills that are needed in data analysis are what we call transferable skills. These are acquired in the course of working. You get the skills from other life and work experiences. Some transferable skills include:
- The capacity to do research
- Excellent communication skills that help with explanation
- Problem-solving abilities
- Inquisitive nature
- Attention to detail
- Teamwork and collaboration
You don’t need to be data analyst to have such skills. It could be from interacting with people, work, or school. The transferable skills show that one is suitable for a job in data analytics. Employers today place tremendous importance on soft skills, which are worth highlighting when applying for a job.
Becoming a data analyst from the bottom
You don’t need experience to shine in data analytics. However, you need to learn skills that make you job ready. Some of the practical steps that get you going and help you change your career include:
- Get certified
However, you need a formal and structured approach to learn the skills needed. The most flexible and best way to earn certification is to take a project-based course. Some of the things that you should consider when picking a course include the following:
- Focus on career advice and job preparation
- Certificate once the course is completed
- Mentorship during the program
- A curriculum that is handed in to contribute to building your portfolio
- A guarantee for job placement
- Polish your portfolio in analytics
Data analytics is considered a hands-on field. you should convince employers that you can apply knowledge practically. For those without experience, consider the following:
- Pick a course that has projects within the curriculum
- Take part in passion projects
- Volunteer the data skills that you have
- Identify transferable skills and emphasize them
As you learn new skills, you can easily overlook what you already know and have as skillsets. However, the skill sets add value to your career as a data analyst. If you are new in the field, you must set some parallels between your new career and your previous experience. Take time to identify soft and core hard skills that could be transferred for use in data analytics.
Some skills may seem unrelated to data analytics, but they are valuable. You need to know your value and then convert this to your potential employers in your resume and portfolio.
- Boost your likelihood of being hired
After learning the skills needed for portfolio building, there are other things you can do to increase your chances of being hired. Apart from industry experience, you can sharpen your competitiveness to recognize the value you can bring to data analytics. Having no experience is an asset. This is because your mind is fresh, and you don’t have any preconceptions that most mid-level professionals have. A newcomer can see business challenges with some freshness. This makes them capable of using different approaches and new angles. They are not aware of the possibilities. In this way, they tend to ask random or different questions. This is good since seniors are given new challenges, and organizations can find lasting solutions to problems using new approaches.
The other thing about hiring a fresh mind is that the seniors get the chance to mentor them. This can be beneficial in career growth. In addition, the company will benefit as it will have access to trained personnel who are conversant with their business and standards.
You need to know the best way of marketing yourself. Then, after all the necessary skills have been mastered, reframe the fact that you have no experience in the field to work in your favor.
- Industry
Data analysts are considered in-demand professionals. After mastering the core skills, you can work in any industry. You may begin with a simple job title, such as junior data analyst. With time, you can be elevated to specialized roles requiring more experience. You can find data analyst jobs in the following:
- Marketing
- Retail
- Finance
- Entertainment and media
- Transport and logistics
- Education
- Fitness and wellness
Typically, you can find data analyst jobs in practically any industry or sector. You can seek employment in an industry you are conversant with. However, with the above information, you can tell that you can get started as a data analyst even without any prior experience and thrive.
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