What does a Data Analyst Internship do?

A data analyst internship involves a trainee who wants to gain working experience in the field of information technology (IT) by assisting data analyst professionals. Data analyst interns should examine information using data analysis tools so that they can help their employers make important decisions by identifying various facts and trends. They write reports and present them to the management to provide new insights about new trends and areas for improvement. Data analyst interns can find work in areas such as banks, specialist software development companies, and consultancies.
Data analyst internship responsibilities
Here are examples of responsibilities from real data analyst internship resumes:
- Manage reports and sales leads in salesforce.com, CRM.
- Track sales, manage customer service survey system, run billing machine
- Structure and manage a plethora of investment relate data entering the systems using python.
- Create and manage reports using SSRS and used Hadoop as a big data tool.
- Lead projects to maintain adapt and update departmental websites utilizing HTML, CSS, PHP and minimal JavaScript.
- Design MATLAB GUI tools to automate SQL queries (MSSQL) and to automatically generate data reports from sensordata.
- Manipulate large pharmaceutical data using SAS in windows environment.
- Set up distribute computing environment using Hadoop and implement parallel applications to speed up multi-linear regression.
- Configure and load xml data for the BVT tests.
- Audit and invoice complete repairs.
- Participate in quarterly audits to ensure consistent SOX compliance.
- Help create a dashboard for driver managers using java script coding.
- Design a decision support tool using ASP/VB.net, JavaScript and HTML.
- Perform self-testing for Sox controls and prepare require Sox control documentation.
- Create and run SQL queries against access database for breeding reports.
Data analyst internship skills and personality traits
We calculated that 19% of Data Analyst Interns are proficient in Java, Python, and R. They’re also known for soft skills such as Detail oriented, Analytical skills, and Communication skills.
We break down the percentage of Data Analyst Interns that have these skills listed on their resume here:
- Java, 19%
Created and developed analysis program using Java, C++, and Python to analyze research results from scholarly articles.
- Python, 7%
Sequence data analysis using Python to identify and characterize allele specific expression in poultry infected with avian influenza from RNA-seq data.
- R, 7%
Created meaningful visualizations/reports of department data in R and Excel for executives.
- Data Analysis, 7%
Cleaned Data and performed basic data analysis using SAS Performed the linear regression and time-series analysis to evaluate the proposed capital expenditures
- Power Bi, 6%
Gained hands-on experience working with Power BI Dashboard Services by digging valuable insights from unstructured raw data of customers.
- Data Analytics, 5%
Used data analytics in operations to improve efficiency and service delivery based on business metrics.
Most data analyst interns use their skills in "java," "python," and "r" to do their jobs. You can find more detail on essential data analyst internship responsibilities here:
Detail oriented. One of the key soft skills for a data analyst internship to have is detail oriented. You can see how this relates to what data analyst interns do because "market research analysts must pay attention to minutiae to evaluate data." Additionally, a data analyst internship resume shows how data analyst interns use detail oriented: "map the current business processes in detail and developed relevant operational analytics with supporting other data analytics initiatives as necessary. "
Analytical skills. Another essential skill to perform data analyst internship duties is analytical skills. Data analyst interns responsibilities require that "market research analysts must evaluate large amounts of data and information related to market conditions." Data analyst interns also use analytical skills in their role according to a real resume snippet: "used gis cross referenced against the state bbb data to analyze property ownership structure, value, and commercial/housing regulations. "
Communication skills. data analyst interns are also known for communication skills, which are critical to their duties. You can see how this skill relates to data analyst internship responsibilities, because "market research analysts must be able to clearly convey information when gathering material, interpreting data, and presenting results to clients." A data analyst internship resume example shows how communication skills is used in the workplace: "provided feedback and communication to the book of business taskforce in implementation of future raw data collection methods and strategies"
The three companies that hire the most data analyst internships are:
- UUMB Bank53 data analyst interns jobs
- CCambia Health Solutions12 data analyst interns jobs
- UUniversity of Rochester5 data analyst interns jobs
Choose from 10+ customizable data analyst internship resume templates
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Data analyst internship vs. Research analyst
A research analyst is responsible for providing a company with insights and advice concerning finance, investments, and expenditures. Utilizing their analytical skills and extensive expertise in marketing, they analyze the trends and significant factors to conclude which decision should be the best to make. They can also take part in conducting an in-depth analysis of a business and examine which areas require improvement or has potential. Furthermore, they may work with a company or independently as a freelance analyst.
These skill sets are where the common ground ends though. The responsibilities of a data analyst internship are more likely to require skills like "java," "power bi," "data analytics," and "data extraction." On the other hand, a job as a research analyst requires skills like "research projects," "powerpoint," "data entry," and "healthcare." As you can see, what employees do in each career varies considerably.
Research analysts really shine in the finance industry with an average salary of $101,433. Comparatively, data analyst interns tend to make the most money in the technology industry with an average salary of $47,252.research analysts tend to reach similar levels of education than data analyst interns. In fact, research analysts are 4.8% less likely to graduate with a Master's Degree and 1.8% more likely to have a Doctoral Degree.Data analyst internship vs. Analyst
Analysts are employees or individual contributors with a vast experience in a particular field that help the organization address challenges. They help the organization improve processes, policies, and other operations protocol by studying the current processes in place and determining the effectiveness of those processes. They also research industry trends and data to make sound inferences and recommendations on what the company should do to improve their numbers. Analysts recommend business solutions and often help the organization roll out these solutions. They ensure that the proposed action plans are effective and produce the desired results.
In addition to the difference in salary, there are some other key differences worth noting. For example, data analyst internship responsibilities are more likely to require skills like "python," "power bi," "data analytics," and "visualization." Meanwhile, an analyst has duties that require skills in areas such as "customer service," "troubleshoot," "management system," and "project management." These differences highlight just how different the day-to-day in each role looks.
Analysts may earn a higher salary than data analyst interns, but analysts earn the most pay in the technology industry with an average salary of $79,330. On the other hand, data analyst interns receive higher pay in the technology industry, where they earn an average salary of $47,252.analysts earn lower levels of education than data analyst interns in general. They're 10.2% less likely to graduate with a Master's Degree and 1.8% more likely to earn a Doctoral Degree.What technology do you think will become more important and prevalent for Data Analyst Internships in the next 3-5 years?
Pavel Chernyavskiy Ph.D.
Assistant Professor of Statistics, University of Wyoming
Data analyst internship vs. Market research analyst
A market research analyst is an individual who studies the market conditions so that he/she or she can examine the potential sales of an organization's product or service. Market research analysts are required to devise and evaluate methods for collecting data such as surveys, focus groups, and opinion polls. They must interpret the data they have collected and presented their findings to executives and clients to help them make better-informed decisions. Market research analysts are also required to create visuals of industry trends and competitors so the company can predict how it fares in the marketplace.
The required skills of the two careers differ considerably. For example, data analyst interns are more likely to have skills like "java," "python," "power bi," and "data analytics." But a market research analyst is more likely to have skills like "powerpoint," "market trends," "product development," and "primary research."
Market research analysts make a very good living in the technology industry with an average annual salary of $62,042. On the other hand, data analyst interns are paid the highest salary in the technology industry, with average annual pay of $47,252.market research analysts typically earn similar educational levels compared to data analyst interns. Specifically, they're 3.3% less likely to graduate with a Master's Degree, and 0.1% less likely to earn a Doctoral Degree.Data analyst internship vs. Product engineering internship
A product engineering internship involves a trainee who gains work experience in the field of product building and improving a company's products to be used by target consumers. Product engineering interns collaborate with product managers to brainstorm ideas on product designs and develop design verification and test plans to ensure that the product meets the high-quality standards and agency requirements. To meet the product's quality standards, product engineering interns must be proficient in using lab equipment and debug techniques. They also serve as a liaison among the development team, manufacturing team, and compliance agency.
Types of data analyst internship
Updated January 8, 2025