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Data Analysis Intern Jobs (NOW HIRING)

NIO

Data Analysis Intern

San Jose, CA · On-site

$38 - $46/hr

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and evaluating language models for specific use cases * Develop and test Python code to interact with LLM ...

NIO

Data Analysis Intern

San Jose, CA · On-site

$38 - $46/hr

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and evaluating language models for specific use cases * Develop and test Python code to interact with LLM ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows

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How much do data analysis intern jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data analysis intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are some common challenges faced by Data Analysis Interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

What is the difference between Data Analysis Intern vs Data Analyst?

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

What Do Data Analysis Interns Do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What does a Data Analysis Intern do?

A Data Analysis Intern assists in collecting, processing, and interpreting data to help organizations make informed decisions. They often use tools like Excel, SQL, or Python to analyze datasets, create visualizations, and generate reports. Interns work under the supervision of experienced data analysts or data scientists, learning to apply statistical techniques and solve real-world business problems. This role provides hands-on experience in data analytics and helps interns develop valuable technical and analytical skills.

What are the key skills and qualifications needed to thrive as a Data Analysis Intern, and why are they important?

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.
More about Data Analysis Intern jobs
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Data Analysis Intern jobs near you
Infographic showing various Data Analysis Intern job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Data Analysis Intern

Data Analysis Intern

American Water Works Association

Denver, CO

$21 - $24/hr

Full-time, Part-time, Internship

Re-posted 10 days ago

Job description

Time Period: June 2026 – August 2026
Schedule: Full-time hours preferred, part-time may be considered
Location: Denver, CO
Description: The American Water Works Association (AWWA) is the authoritative resource on safe water, providing knowledge, information and advocacy to improve the quality and supply of water in North America and beyond. AWWA advances public health, safety and welfare by uniting efforts of the full spectrum of the water community.
The Partnership for Safe Water and Partnership for Clean Water (Partnership Programs) are utility optimization programs managed by AWWA and six alliance member organizations (EPA, AMWA, ASDWA, NAWC, The Water Research Foundation, and WateReuse). The Partnership Programs provide utilities with a structured self-assessment process to examine their operations, identify areas for improvement, and work toward optimized performance.
Nearly 500 utilities across North America have voluntarily chosen to join the Partnership Programs and hold themselves to higher standards than current regulations in the water industry. Utilities in the Partnership Programs submit baseline data on several water quality and system integrity parameters when they join the program, and then resubmit this data every year to track their improvement and demonstrate their commitment to high performance.
To embody the culture of continuous improvement and excellence that the Partnership Programs expect of our members, Partnership is working to improve the review process for annual data submissions; improve the tools and systems used to store, track, and display data; and compile statistics to better understand members’ performance in the program and areas for improvement. To support these efforts, the Partnership Programs are seeking a person who has expertise in data review and processing, data interpretation, and tool and system development. This person should be familiar with Microsoft Excel, be able to quickly learn and use new portals and data storage systems, and carry out basic statistics and data analysis.
The selected candidate will primarily support annual data review and process improvement, but will also support the development of new data collection tools and templates and resources, and will provide support to Partnership member utilities who have data-related issues.
Qualifications:
  • Graduate student pursuing an advanced degree in Engineering, Data Science, or another discipline with a focus on data analysis. Undergraduate students that have completed at least their junior year will also be considered.
  • Intermediate computer skills and proficiency in MS Word, MS Excel, PowerPoint, and Outlook required. Prior experience with databases, dashboards, and data visualization applications preferred.
  • Prior water industry experience or interest in a water industry career preferred.
  • Excellent communication skills required; prior customer- or client-facing experience preferred.
  • Must be able to work independently with minimal supervision.
  • Demonstrated time management skills and ability to work independently, handle multiple priorities with shifting time frames, and meet deadlines; high degree of initiative, urgency, and follow-through.
Wage/Salary Information: $21 - $24 per hour, dependent upon qualifications
Deadline to Apply: June 15, 2026

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