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Data Analyst Internship skills for your resume and career

Updated January 8, 2025

5 min read

Quoted Experts

Pavel Chernyavskiy Ph.D.,

Zhixin Wu Ph.D.

Below we've compiled a list of the most critical data analyst internship skills. We ranked the top skills for data analyst interns based on the percentage of resumes they appeared on. For example, 18.5% of data analyst internship resumes contained java as a skill. Continue reading to find out what skills a data analyst internship needs to be successful in the workplace.

15 data analyst internship skills for your resume and career

1. Java

Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.

Here's how data analyst interns use java:

Created and developed analysis program using Java, C++, and Python to analyze research results from scholarly articles.
Implemented the Oracle Locator functionality and re-designed existing Java Web Services using SOAP to enhance performance by 67% !

2. Python

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how data analyst interns use python:

Sequence data analysis using Python to identify and characterize allele specific expression in poultry infected with avian influenza from RNA-seq data.
Worked in Agile/Scrum environment and developed Python scripts for automating web interactions and database validations.

3. R

R is a free software environment and a language used by programmers for statistical computing. The R programming language is famously used for data analysis by data scientists.

Here's how data analyst interns use r:

Created meaningful visualizations/reports of department data in R and Excel for executives.
Developed statistical and time-series models using R software with graphical interfaces.

4. Data Analysis

Here's how data analyst interns use data analysis:

Cleaned Data and performed basic data analysis using SAS Performed the linear regression and time-series analysis to evaluate the proposed capital expenditures
Implemented statistical data analysis Big Data analysis of CEDS emission output data to ensure the data correctness and integrity.

5. Power Bi

Here's how data analyst interns use power bi:

Gained hands-on experience working with Power BI Dashboard Services by digging valuable insights from unstructured raw data of customers.
Aided supply chain visibility and forecast accuracy using T-SQL and Power BI dashboards.

6. Data Analytics

Here's how data analyst interns use data analytics:

Used data analytics in operations to improve efficiency and service delivery based on business metrics.
Performed data analytics project to enable data-driven decisions and insights.

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7. Visualization

Here's how data analyst interns use visualization:

Analyzed data using standard statistical methods to model data, and used visualization techniques to present these interpretations in reports
Participate in procurement of inventories while incorporating 3PL logistic visualization tracking and ensure close relationship with vendors.

8. Data Extraction

Data extraction is the technique of retrieving and extracting the necessary data from various sources for data processing, storage, and/or analysis using tools that allow you to search through online resources. The extracted data may be structured or unstructured data. The extracted data is migrated and stored in a data warehouse, from where it is further analyzed and interpreted for business cases.

Here's how data analyst interns use data extraction:

Performed numerous data extraction and data integration requests involving SQL scripts.
Performed data extraction of company s supply chain inventory resulting in the sale of approximately 13 million in unused equipment.

9. Data Visualization

Data visualization is the process of presenting data in a more beautiful, elegant, and descriptive way in front of others using visual elements such as charts, graphs, maps, or any other type of visual presentation. This makes the data more natural for the human mind to comprehend and thus makes it easier to spot trends, patterns, and outliers within large data sets.

Here's how data analyst interns use data visualization:

Utilized Microsoft Excel, Radian6, and Googlewhacker to develop integrative data visualizations with info graphics.
Provided data visualizations using Tableau to business users based on ad-hoc and regulatory reporting requests

10. Analyze Data

Analyze data or data analysis refers to the practice of studying, organizing, and transforming data to make it more useful. It also includes the cleansing of non-useful information which helps in better decision making regarding any particular matter. Analyze data is a practice that is used widely in the field of business, social sciences, and science.

Here's how data analyst interns use analyze data:

Utilized SAP and other business applications to validate and analyze data between various retail systems for data integrity
Retrieve useful information, analyze data and visualize data.

11. Data Collection

Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.

Here's how data analyst interns use data collection:

Developed and implemented data collection systems and other strategies that optimize statistical efficiency and data quality using SAS and Excel.
Determine and recommend additional data collection and data requirements.

12. BI

Here's how data analyst interns use bi:

Revamped BI governance process by assisting teams to develop a KPI dashboard to track and report performance on a real-time basis.
Prepared Trends & Patterns analysis reports from various data sources like ERP, BI, Databases and Market Research.

13. SAS

SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.

Here's how data analyst interns use sas:

Collaborated with statistics department to develop algorithms with SAS, and participated team meeting to analyze clinical trial protocol.
Managed various data projects implemented in SAS that investigated long-term statistical trends existing within charter network.

14. Statistical Analysis

Here's how data analyst interns use statistical analysis:

Performed statistical analysis for projects and reports such as analysis of criminal motives based on the alleged suspects related information.
Analyzed data for statistical analysis and developed applications to further organize and utilize data for dashboard development.

15. Pivot Tables

A pivot table is a technique used in data processing to arrange and rearrange statistics to prioritize useful information. The aim of a pivot table is to summarize the findings and interpretations of the data extracted. Pivot tables take information from a database or spreadsheet to report sums, average, and other such statistics. This technique is integral to data analysis since it turns the data to view it from different lenses and perspectives.

Here's how data analyst interns use pivot tables:

Train employees on the use of pivot tables and tips and tricks in MS Excel for efficient data entry and analysis.
Used advanced Excel Functions to create spreadsheets & Pivot Tables with clean data to store it at multiple secure locations.

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What skills help Data Analyst Interns find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What Data Analyst Internship skills would you recommend for someone trying to advance their career?

Pavel Chernyavskiy Ph.D.

Assistant Professor of Statistics, University of Wyoming

Statisticians with subject-matter expertise tend to be more in-demand, all else being equal. For example, quantitative biologists, statistical geneticists, bioinformaticians, industrial statisticians can all be thought of as "statisticians with subject-matter expertise," at least in my opinion. With that in mind, if an applicant can develop their knowledge of a particular area of application during their gap year, it should help them in the job market.

What type of skills will young Data Analyst Internships need?

Zhixin Wu Ph.D.

Associate Professor, DePauw University

Problem solving skills, analytical skills, self-learning ability, and good communication skills.

What technical skills for a Data Analyst Internship stand out to employers?

Dr. Breann Murphy Ph.D.

Assistant Professor, Jacksonville State University

For communication, the biggest technical skills that stand out to employers are good writing skills, strong people skills, and experience in digital media. Communication professionals must be good writers, since the field is in the practice of message construction and delivery. Also, communication professionals must be good writers across all platforms. Since the world has now embraced more digital media as a result of the pandemic, communication professionals must know how to write for a variety of platforms, such as websites, blogs, and social media, and they must know how to adapt their writing to different audiences.

Also, certifications in digital media analytics is becoming more important to employers. Since employers are embracing a digital presence, they need people who know how to monitor and interpret the data and having a digital media analytic certification helps a potential hire stand out from the crowd of applicants. Additionally, employers are now wanting to see more examples of work and writing samples that potential hires have done in the past.

What soft skills should all Data Analyst Internships possess?

Dr. Kelly Collins Woodford

Associate Dean, University of South Alabama

The soft skills graduates need really has not changed because of the pandemic, but the importance of those soft skills has changed.

For example, as we saw last spring, the ability to be flexible and adaptable to change is critical. To be adaptable, graduates will need strong critical thinking/problem solving skills.

Importantly, graduates must be able to work independently. We often see students who want to be told exactly what to do and how to do it. Graduates in the current market need to be able to use their critical thinking skills to figure out how to accomplish goals and have the ability to work independently to reach the goals.

Also important are interpersonal skills needed to be a successful member of a team, whether the team is remote or in person.

With flexible hours and remote work, time management has also increased in importance.

What hard/technical skills are most important for Data Analyst Internships?

Bertrand Clarke Ph.D.

Professor and Chair, University of Nebraska - Lincoln

Linear models and their follow-on techniques -- generalized linear models, mixed models. Familiarity with nonlinear methods, including classification. Basic nonparametric techniques like PCA, clustering, etc.

Expertise in programming in various languages (R, Python, SAS, etc.)
Expertise in working with various data structures and software.

There are specialized areas as well -- time series, spatial statistics, etc. But they often rely on the methods in the first paragraph.

Do you want to know more?

List of data analyst internship skills to add to your resume

The most important skills for a data analyst internship resume and required skills for a data analyst internship to have include:

Java
Python
R
Data Analysis
Power Bi
Data Analytics
Visualization
Data Extraction
Data Visualization
Analyze Data
Data Collection
BI
SAS
Statistical Analysis
Pivot Tables
Google Analytics

Hadoop
Cloud Computing
PL/SQL
Data Quality
VBA
Data Management
Statistical Techniques
SPSS
Regression
JavaScript
Financial Statements
Identify Trends
SQL Server
ETL
KPIs
PHP

MATLAB
Twitter
Facebook
SharePoint
Regression Analysis
Market Research
Quantitative Analysis
Sales Data
Data Warehouse
API
Statistical Models
GIS
Data Manipulation
Statistical Methods
ERP

Updated January 8, 2025

Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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