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No Experience Data Analyst Internship Jobs (NOW HIRING)

Sales Analyst Internship - Summer 2027

Waukegan, IL · On-site

$14.25 - $19.25/hr

Gain hands-on experience using Power BI and SSRS to create dashboards and reports that help teams ... Partner with account managers to review customer data and provide recommendations for growth.

SourcePro Search has a fantastic opportunity for an experienced Data Analyst in the New York office of one of our top global clients. This role will support the production of financial management ...

Operations Analyst Internship - Summer 2027

Kenosha, WI · On-site

$15 - $19.50/hr

If you are eager to learn and enjoy turning data into action, this is the opportunity for you. With ... Strong Microsoft skills, with experience in SQL or other analytical tools preferred. * Strong work ...

Financial Analyst Internship - Summer 2027

Kenosha, WI · On-site

$17.25 - $22.75/hr

Work alongside experienced finance professionals and business leaders while developing valuable ... Review vendor and business data to identify insights and support key initiatives. * Partner with ...

Showing results 21-40

No Experience Data Analyst Internship information

See salary details

$34K

$82.6K

$136K

How much do no experience data analyst internship jobs pay per year?

As of Aug 8, 2026, the average yearly pay for no experience data analyst internship in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a no experience data analyst intern, and why are they important?

To thrive as a No Experience Data Analyst Intern, you should have a basic understanding of statistics, Excel, and data interpretation, often supported by coursework or self-study rather than formal experience. Familiarity with tools like Microsoft Excel, Google Sheets, and introductory knowledge of SQL or data visualization platforms such as Tableau is beneficial. Curiosity, attention to detail, and strong communication skills help you learn quickly, analyze data accurately, and share findings effectively. These skills and qualities are important because they build a strong foundation for analyzing data and contributing to team projects, even as you continue to learn on the job.

What is a no experience data analyst internship?

A No Experience Data Analyst Internship is an entry-level position designed for individuals who are interested in starting a career in data analysis but do not have prior work experience in the field. These internships provide hands-on training, mentorship, and exposure to data-related projects, allowing interns to learn essential skills such as data cleaning, visualization, and basic statistical analysis. Interns typically work under the guidance of experienced analysts and are often given real-world tasks to help them build their portfolios. This type of internship is ideal for students or recent graduates looking to gain practical experience and improve their chances of securing a full-time role in data analytics.

What types of projects and tasks can I expect to work on as a no experience data analyst intern?

As a no-experience data analyst intern, you can expect to work on foundational tasks such as cleaning and organizing datasets, assisting with data collection, and creating basic reports using tools like Excel or Google Sheets. You may also support the team by visualizing data trends, preparing presentations, and learning how to use analytics software under supervision. These responsibilities are designed to help you build essential skills, understand real-world data workflows, and contribute meaningfully to ongoing projects while receiving guidance from more experienced analysts.

What is the difference between No Experience Data Analyst Internship vs Data Analyst?

AspectNo Experience Data Analyst InternshipData Analyst
Required CredentialsMinimal or no prior experience, often pursuing or recent graduateTypically requires some experience or relevant coursework
Work EnvironmentInternship setting, entry-level, training-focusedFull-time, professional environment with more responsibilities
Employer UsageInternship programs in various industriesCompanies seeking experienced data analysts for ongoing projects

The No Experience Data Analyst Internship is designed for individuals starting their career with little to no prior experience, focusing on learning and skill development. In contrast, a Data Analyst position generally requires some experience and involves more complex tasks. Internships serve as a stepping stone toward full-time data analyst roles, providing valuable industry exposure and training.

More about No Experience Data Analyst Internship jobs
What cities are hiring for No Experience Data Analyst Internship jobs? Cities with the most No Experience Data Analyst Internship job openings:
What are the most commonly searched types of No Experience Data Analyst jobs? The most popular types of No Experience Data Analyst jobs are:
What states have the most No Experience Data Analyst Internship jobs? States with the most job openings for No Experience Data Analyst Internship jobs include:
Infographic showing various No Experience Data Analyst Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Full-time, Part-time, Internship

Re-posted 24 days ago


Job description

We're seeking exceptionally motivated students with a strong interest in the financial markets to contribute to our empirical research process. The range of research ideas to investigate is open-ended and will depend on a candidate's background and strengths.
Opportunities, including full-time summer internships and part-time work throughout the school year, are available for qualified students at each of the undergraduate, masters and PhD levels.
Primary Responsibilities
  • Read and analyze academic research or other source material pertaining to anomalies in the global financial markets.
  • Build data sets and conduct statistical analysis on the data.

Requirements
  • Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines).
  • Programming experience, ideally including R, C++ and/or Python.
  • Experience with regression analysis.
  • Strong interest in learning how to build, organize and analyze large data sets.
  • Strong organizational and communication skills.