How to hire a data analyst internship

How to hire a data analyst internship, step by step

Here's a step-by-step data analyst internship hiring guide:

• Step 1: Identify your hiring needs
• Step 2: Create an ideal candidate profile
• Step 3: Make a budget
• Step 4: Write a data analyst internship job description
• Step 5: Post your job
• Step 6: Interview candidates
• Step 7: Send a job offer and onboard your new data analyst internship
• Step 8: Go through the hiring process checklist

What does a data analyst internship do?

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1. Identify your hiring needs

   Before you start hiring a data analyst internship, identify what type of worker you actually need. Certain positions might call for a full-time employee, while others can be done by a part-time worker or contractor.

   Determine employee vs contractor status

   Is the person you're thinking of hiring a US citizen or green card holder?

   Yes

   No

   You should also consider the ideal background you'd like them a data analyst internship to have before you start to hire. For example, what industry or field would you like them to have experience in, what level of seniority or education does the job require, and how much it'll cost to hire a data analyst internship that fits the bill.

   This list presents data analyst internship salaries for various positions.

   Type of Data Analyst Internship	Description	Hourly rate
   Data Analyst Internship	Market research analysts study market conditions to examine potential sales of a product or service. They help companies understand what products people want, who will buy them, and at what price.	$12-27
   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... Show more	$21-51
   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... Show more	$25-47

   Show more

2. Create an ideal candidate profile

   Common skills:

   • Java
   • Python
   • R
   • Data Analysis
   • Power Bi
   • Data Analytics
   • Visualization
   • Data Extraction
   • Data Visualization
   • Analyze Data
   • Data Collection
   • BI
   • SAS
   • Statistical Analysis

   Check all skills

   Responsibilities:

   • 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.

   More data analyst internship duties

3. Make a budget

   Including a salary range in your data analyst internship job description helps attract top candidates to the position. A data analyst internship salary can be affected by several factors, such as geography, experience, seniority, certifications, and the prestige of the hiring company.

   For example, the average salary for a data analyst internship in Nebraska may be lower than in Alaska, and an entry-level data analyst internship usually earns less than a senior-level data analyst internship. Additionally, a data analyst internship with certifications may command a higher salary, and working for a well-known company or start-up may also impact an employee's pay.

   Average data analyst internship salary

   $38,752yearly

   $18.63 hourly rate

   ---

   Entry-level data analyst internship salary

   $26,000 yearly salary

   Updated December 15, 2025

   Average data analyst internship salary by state

   Rank	State	Avg. salary	Hourly rate
   1	New Jersey	$47,645	$23
   2	California	$47,389	$23
   3	Texas	$45,848	$22
   4	District of Columbia	$44,759	$22
   5	Delaware	$43,898	$21
   6	Georgia	$43,454	$21
   7	Massachusetts	$43,327	$21
   8	Oregon	$41,217	$20
   9	New York	$41,075	$20
   10	Connecticut	$40,485	$19
   11	Minnesota	$40,144	$19
   12	Colorado	$38,718	$19
   13	Virginia	$38,573	$19
   14	North Carolina	$38,483	$19
   15	Pennsylvania	$36,278	$17
   16	Michigan	$35,379	$17
   17	Iowa	$35,323	$17
   18	Illinois	$35,261	$17
   19	Maryland	$35,098	$17
   20	Louisiana	$32,329	$16

   Average data analyst internship salary by company

   Company

   Rank	Company	Average salary	Hourly rate	Job openings
   1	Google	$87,027	$41.84	242
   2	BNP Paribas	$84,568	$40.66	1
   3	General Motors	$83,101	$39.95	61
   4	RSM US	$77,974	$37.49	32
   5	Edelman Financial Engines	$73,354	$35.27	1
   6	Tesla	$66,167	$31.81
   7	BorgWarner	$65,849	$31.66	3
   8	REI Systems	$65,047	$31.27
   9	Agilent Technologies	$62,334	$29.97	1
   10	Chubb	$57,910	$27.84	15
   11	Acxiom	$56,771	$27.29
   12	Oracle	$52,592	$25.28	2,130
   13	USAA	$51,949	$24.98	7
   14	Intel	$51,558	$24.79
   15	Ball	$50,215	$24.14
   16	Ceres	$45,793	$22.02
   17	Federal Reserve Bank	$45,530	$21.89	17
   18	Lockheed Martin	$45,479	$21.86	53
   19	VHB	$45,058	$21.66	12
   20	Control Risks	$44,796	$21.54	3

4. Writing a data analyst internship job description

   A data analyst internship job description should include a summary of the role, required skills, and a list of responsibilities. It's also good to include a salary range and the first name of the hiring manager. Below, you can find an example of a data analyst internship job description:

   Data analyst internship job description example

   Equifax empowers businesses and consumers with information they can trust. With a strong heritage of innovation and leadership, we leverage our unique data, advanced analytics and proprietary technology to enrich the performance of businesses and the lives of consumers.
   
   This internship is designed to support research and advanced development techniques for Artificial Intelligence (AI) and Machine Learning (ML). The end result will be a working proof of concept that illustrates the power and value of Equifax data and analytics to a select audience. Qualified candidates will have an undergraduate or higher degree in Analytics and Data Science, Statistics, Mathematics, or Computer Science or a related STEM field. The ideal candidate will have completed course work in data science and be a proficient programmer. What you will do:Enable building the AI/ML prototypes using data, equations, and mathematical results to deliver insight into new and emerging solutions Partner in development of scalable solutions using large datasets with other data scientists on the team Integrate diverse data sources, data types and data structures into an innovative visualization prototype Work with key stakeholders to develop advanced solutions or improve existing solutions around data and analytics What you will need : Graduate students obtaining a Master's degree or higher in Data Science, Statistics, Analytics, Mathematics, or Computer Science or a related STEM field.Expertise in software development with Python, SAS, or RStrong SQL and/or Big Query skills in Big Data environment What could set you apart :Formal coursework and/or familiarity with AI/Machine learning a very strong plus Experience working with very large datasets, knowledge of distributed computing tools (Spark, MapReduce, Hive, Apache Mahout etc.) a plus Excellent problem solving skills with the ability to design algorithms, which may include data cleaning, data mining, data clustering and data preparation for visualization Personal qualities desired: creativity, tenacity, curiosity, and passion for excellence in a rapidly changing prototyping environment Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
   #LI-JL2
   #LI-Hybrid
   
   Primary Location:
   USA-Atlanta JV White
   
   Function:
   Function - Internships
   
   Schedule:
   Full time

   Copy this example

   

5. Post your job

   To find data analyst interns for your business, try out a few different recruiting strategies:

   • Consider internal talent. One of the most important talent pools for any company is its current employees.
   • Ask for referrals. Reach out to friends, family members, and your current work to ask if they know any data analyst interns they would recommend.
   • Recruit at local colleges. Attend job fairs at local colleges to recruit entry-level data analyst interns with the right educational background.
   • Social media platforms. LinkedIn, Facebook, and Twitter have more than 3.5 billion users, and they're a great place for company branding and reaching potential job candidates.

   Post your job online:

   • Post your data analyst internship job on Zippia to find and recruit data analyst internship candidates who meet your exact specifications.
   • Use field-specific websites such as swipe files, exit five, marketinghire, american marketing association.
   • Post a job on free websites.

6. Interview candidates

   During your first interview to recruit data analyst interns, engage with candidates to learn about their interest in the role and experience in the field. During the following interview, you'll be able to go into more detail about the company, the position, and the responsibilities.

   It's also good to ask about candidates' unique skills and talents to see if they match your ideal candidate profile. If you think a candidate is good enough for the next step, you can move on to the technical interview.

   The right interview questions can help you assess a candidate's hard skills, behavioral intelligence, and soft skills.

7. Send a job offer and onboard your new data analyst internship

   Once you have selected a candidate for the data analyst internship position, it is time to create an offer letter. In addition to salary, the offer letter should include details about benefits and perks that are available to the employee. Ensuring your offer is competitive is vital, as qualified candidates may be considering other job opportunities. The candidate may wish to negotiate the terms of the offer, and it is important to be open to discussion and reach a mutually beneficial agreement. After the offer has been accepted, it is a good idea to formalize the agreement with a contract.

   It's also good etiquette to follow up with applicants who don't get the job by sending them an email letting them know that the position has been filled.

   To prepare for the new data analyst internship first day, you should share an onboarding schedule with them that covers their first period on the job. You should also quickly complete any necessary paperwork, such as employee action forms and onboarding documents like I-9, benefits enrollment, and federal and state tax forms. Finally, Human Resources must ensure a new employee file is created for internal record keeping.

8. Go through the hiring process checklist

   • Determine employee type (full-time, part-time, contractor, etc.)
   • Submit a job requisition form to the HR department
   • Define job responsibilities and requirements
   • Establish budget and timeline
   • Determine hiring decision makers for the role
   • Write job description
   • Post job on job boards, company website, etc.
   • Promote the job internally
   • Process applications through applicant tracking system
   • Review resumes and cover letters
   • Shortlist candidates for screening
   • Hold phone/virtual interview screening with first round of candidates
   • Conduct in-person interviews with top candidates from first round
   • Score candidates based on weighted criteria (e.g., experience, education, background, cultural fit, skill set, etc.)
   • Conduct background checks on top candidates
   • Check references of top candidates
   • Consult with HR and hiring decision makers on job offer specifics
   • Extend offer to top candidate(s)
   • Receive formal job offer acceptance and signed employment contract
   • Inform other candidates that the position has been filled
   • Set and communicate onboarding schedule to new hire(s)
   • Complete new hire paperwork (i9, benefits enrollment, tax forms, etc.)

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How much does it cost to hire a data analyst internship?