What Are Data Analyst Internships? (With Required Skills)

By Indeed Editorial Team

Published November 10, 2022

The Indeed Editorial Team comprises a diverse and talented team of writers, researchers and subject matter experts equipped with Indeed's data and insights to deliver useful tips to help guide your career journey.

Data analytics is an important field with many options available. Businesses in various fields, like information technology, e-commerce, and trade, all work with valuable datasets that are important in running their businesses efficiently. Entry-level data analyst internships can help increase your credentials as a reliable data analyst and can help you secure a lucrative data analyst position at a startup or a large company. In this article, we explore the meaning of data analyst internships, review the skills and qualifications required, and highlight how to become a data analyst intern.

Related: Top 10 Data Analyst Interview Questions (With Example Answers)

What are data analyst internships?

Data analyst internships are an entry-level position in the data analytics department of a startup or an established business. It's a position that's typically offered to students or recent graduates, but some experienced employees may also choose to pursue a data analytics internship. An internship is an essential opportunity for companies to train prospective employees in the field of data analytics by helping them learn the various aspects involved.

This type of internship can help you develop your data analytics skills and can be beneficial if you wish to become a data analyst. It can provide you with valuable, real-world experience in a data analytics department, which is essential as it can help improve your credentials in the field. An internship can also lead you to prospective employment opportunities based on your performance and skills, as employers evaluate your progress in the program. It can also serve as a great way to transition from a classroom to a workplace environment.


  • Nine Practical Benefits of Completing an Internship

  • Business Analyst vs. Data Analyst: What's the Difference?

Data analyst internship skills and qualifications

There are various skills and qualifications that companies require data analyst interns to possess. Listed below are some of those skills:

Statistical analytics and probability

In data analytics and data science, statistics knowledge is essential. Companies expect data analysis interns to possess basic and functional knowledge of statistics and probability to work effectively in the role. Statistics are an important part of data analysis, and having knowledge of descriptive statistics, including aspects like mean, median, mode variance, and standard deviation, is key. Probability skills and infernal statistics are also important for working in data analytics. Learning about these topics can increase your credentials as the ideal candidate for the internship. Some coding skills can also help you find a suitable internship.

Related: 18 Data Analyst Skills for Success

Data cleaning and preprocessing skills

Data cleaning and preprocessing is an important aspect of data analysis. Companies often work with large raw datasets that require sorting, cleaning, and preprocessing the raw data to run analyses successfully and effectively. Companies often use proprietary software to run data analysis, and your internship can help you learn more about the company's methods for data cleaning and preprocessing in detail, which can develop your skills further.

Communication and teamwork skills

Like any other profession or business, data analysis requires excellent communication skills and teamwork abilities. Clearly communicating with your colleagues can help ensure steady workflow, and increase employee productivity, which can help the company function effectively and make more profits. While having personal professional goals is key toward becoming a better professional, it ' also beneficial to be a team player. Many projects in companies require employees to coordinate and collaborate with one another to accomplish a collective goal.

Related: What Does a Data Analyst Do? (With Requirements and Salaries)

Technical and terminological skills

During your internship, employers rarely expect you to be an expert at coding, software development, data analysis, machine learning, or data preprocessing, but having some knowledge about what those terms mean can help impress employers and convince them you are able to handle the duties of the program. Researching about various roles and other terminologies used in data analysis can help prepare you for your role as an intern in data analytics. It may also help to remain updated with industry news and publications.

How to become a data analyst intern

Here is a list of some steps you can take if you are interested in learning how to become a data analyst intern:

1. Gain knowledge

The first step involved in successfully getting an internship at a data analytics department of a company is being qualified in the field. Many companies require interns to hold a bachelor's degree in mathematics or computer science. Employers also typically expect their interns in data analysis to possess some basic knowledge about coding languages, machine learning, and software development. You may gain additional knowledge by taking online courses to help develop your skills and gain technical knowledge about data analytics. Being knowledgeable about the field can show prospective employers that you are the ideal candidate for the position.

2. Build an online portfolio

Once you have gained knowledge about data analysis, the next step is to create and build an online portfolio. Your online portfolio helps highlight your skills and experience as a data analyst. Use your portfolio to demonstrate to prospective employers that you have basic knowledge about data analytics and that you can work with real-world data. You can also highlight your data cleaning and preprocessing skills with your portfolio, which shows employers you know how to create datasets that are easier to analyze for machine learning softwares. You can use various online platforms to create your portfolio.

3. Do your research

The key to getting accepted to an important internship in any professional field is research. Try to find information about what companies are looking for with data analyst interns. Research about the industries that those companies operate in, and try to gain knowledge about their expectations from their existing or previous interns. Search for information about what a data analyst does, their skills, and duties. Find out about the companies offering intern positions online, on job listing websites, or through various social media platforms. You can also consult your acquaintances working in the field to know more about the internships available for data analysts and their requirements.

Related: 9 Data Analyst Certifications to Pursue (With Skills)

4. Compile all available positions

After you've extensively done your research, the next step involves compiling all the available positions at different companies according to their requirements, deadlines, industries, and their desirability. You can then choose the positions and companies that you believe are a good fit for your career prospects. It's essential to check the deadlines and other important dates for each application.

5. Create a cover letter and a resume

Creating an impactful resume is key to successfully getting chosen for your desired internship. Create a resume that highlights your skills and your knowledge about data analytics. Tailor and style your resume to better suit your desired organizations. Be sure to include your online portfolios, academic information, and relevant skills on your resume. An impactful cover letter can help convey your credentials as an ideal candidate for the position.

6. Send out applications

Now that you've created an ideal resume, you can send your applications to your desired companies and positions. You may continue checking job boards at regular intervals to see if there are any other internships available that you may have previously missed. You may also use your social media channels to establish connections, which may help you secure an internship.

Related: How to Write a Data Analyst Entry-Level Resume (With Tips)

7. Prepare for the interview

Prepare for the interview by researching about the companies in detail. Try to gain knowledge about their industry, their projects, and their history. If multiple companies make you offers for internships, you can negotiate your position and consider all the pros and cons of working with each organization. This can help you make a decision effectively.

Explore more articles