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Start Applying For Entry-Level Data Analyst Jobs

Start Applying For Entry-Level Data Analyst Jobs
Once you’re confident in your abilities and portfolio, it’s time to think about how to get a job as a data analyst.
Be sure you have the required skills 
Before starting your job hunting process, you may want to make a quick revision of your data analyst skills and compare it with the requirements for this role in the modern market. 
A good place to start is to take a look at the descriptions of several job positions for a data analyst and write down the skills that are currently most in demand.
To get a job as a data analyst, here are the basic technical skills that companies usually expect to see:
Python or R (especially their specialized libraries for data analysis)
SQL
The command line
Statistics
Data cleaning and wrangling
Data analysis
Data visualization
Web scraping
Debugging
Data storytelling
Dealing with unstructured data
If the list above looks overwhelming to you, don't feel discouraged; you likely won't need all these skills for every data analyst job. Usually, each company looks for a different set of skills in a suitable candidate. 
The best way to find out the specific requirements of a certain employer is to read the corresponding job description. If, at this point, you feel that you lack some crucial skills, consider upskilling.
Finally, don’t forget that there are also some important data analyst soft skills:
Analytical thinking
Multitasking
Curiosity
Creativity
Communication skills
Flexibility
Ability to work both independently and in a team
Decision making
Business domain knowledge
Create a professional data analyst resume
Now it's time to write your resume. At a first glance, it may seem to be an easy task. However, in reality, it's worth dedicating some time and effort to building a compelling and professional-looking resume that can capture the attention of recruiters. 
Customize your data analyst resume to each job description you apply for. Read the job description carefully, figure out the requirements that the company is looking for in a candidate, and incorporate/highlight the necessary skills and keywords in your resume. In addition, you can explore the company's website (its mission, values, and products), and refer to it to make your resume reflect that you are the perfect fit.
Be concise but informative.
Use plain but efficient language.
Check for errors and typos.
Consider including the following sections:
Contact Information
Objective
Work Experience
Projects
Skills
Education
The order of appearance of the last four sections depends on your real relevant experience and, hence, on what you want to showcase first.
Develop your online profiles
Your LinkedIn/Kaggle/Medium/GitHub or any other relevant professional profile should be in line with your data analyst resume or even represent your resume in miniature. The main goal here is to let your readers know that you are a data analyst, even if you don't have real work experience yet in this sphere. 
Below are some useful tips:
Keep your professional profile and portfolio of projects updated.
In the headline, write Data Analyst instead of your current profession, if you are a career-changer. Avoid adding the word aspiring to your headline.
Include your photo and maybe a data-related cover picture.
Provide a professional way to contact you. 
Include any relevant licenses, certifications, skills, accomplishments, recommendations, and cross-links to your other professional profiles.
Some of the suggestions for writing an efficient resume are also applicable here. Be concise but informative, use plain but efficient language, check for errors and typos, double-check your contact details, and avoid including your skill level.
Become a Data Analyst With ONLEI Technologies 
By now, you should know how to become a data analyst and what you need to do to make your goal a reality.
the prerequisites you need to have to start learning data analysis
how to select the optimal qualification 
why individual projects are so important for your portfolio and where to search for datasets
other projects that can be added to your portfolio
the technical and soft skills companies usually look for in a data analyst
the nuances and tricks for creating an outstanding resume
the importance of your online presence, visibility, and interaction with data specialists
where and how to search for a job and how to keep optimistic and confident whilst applying
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