This article will explore the core requirements and skills necessary to secure a job as a Data Analyst. It will also provide a brief overview of what to include in your data analytics resume, portfolio, and LinkedIn profile.


Like any other profession, most jobs in data analytics require candidates to have some prior experience working in the field. If you are applying for an entry-level Data Analyst position, you must demonstrate to employers that you have worked for up to two years, either as a volunteer or with paid work such as an internship. If you are applying for more advanced data analytic positions, you likely will need to demonstrate a more extended work history, as well as more specific training in the industry you hope to work in, such as healthcare or finance.


Aspiring Data Analysts must have a variety of both hard and soft skills. The following are some of the hard skills employers seek out in candidates:

In addition to hard skills, most employers also seek candidates who have the following soft skills:


When applying for a job in data analytics, your portfolio is the first thing an employer will see along with your resume. This is why having a solid and well-rounded data analytics portfolio is essential to gain their interest and showcase your most impressive and relevant work. In addition, there are many benefits to opting for an online portfolio instead of a physical one. Not only are these websites more accessible to everyone within an organization, which is part of the hiring process, but they also can use visuals, hyperlinks, and other content that may not be as easy to include in the print form.

The following are some elements of a strong data analytics portfolio:

Resume & LinkedIn Profile

Having a solid resume and an up-to-date LinkedIn page are two essential elements for securing a job as a Data Analyst.

Although there are many ways to structure a data analytics resume, the following are some of the sections you may consider including to highlight your skills and training:

Learn More About Data Analytics by Enrolling in Hands-On Classes

If you’re interested in learning more about how to analyze and visualize data, Noble Desktop’s Python for Data Science Bootcamp is a great starting point. This intensive, 30-hour course covers core Python skills that are useful for the data sciences, such as an overview of the various data types and how to create data visualizations. Noble also offers an 18-hour SQL Bootcamp in which students learn how to filter data, write SQL queries, and gather insights from data.

For those looking to learn specifically about data analytics, courses such as the Data Analytics Certificate or Data Analytics Technologies Bootcamp are available in-person in NYC, as well as in the live online format. These rigorous learning options cover core data analysis tools like SQL, Excel, and Tableau, among others.

You can also search for live online and in-person data analytic courses close to home by using Noble’s Classes Near Me tool. More than 340 courses are currently listed by Noble and other educational providers.