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Data Analyst Intern Jobs in Clemson, SC (NOW HIRING)

Data Analyst Job Location: Greenville, SC Job Type: Contract * Help prepare borrowing base reports, and monthly service reports * Provide support in initiatives with Data Governance to help optimize

Data Analyst Sr- Level 3

Greenville, SC ยท On-site +1

$76K - $96K/yr

The Greenville Quality Engineering Team within Lockheed Martin Aerospace is seeking a senior data scientist analyst who will play a key role in developing, deploying, and maintaining data based ...

Data Analyst Sr- Level 3

Greenville, SC ยท On-site

$85K - $150K/yr

The Greenville Quality Engineering Team within Lockheed Martin Aerospace is seeking a senior data scientist analyst who will play a key role in developing, deploying, and maintaining data based ...

Intern- Tax Analyst

Greenville, SC ยท On-site

$19.20 - $22.29/hr

AMECO is seeking a motivated Intern - Tax Analyst to join our Tax team. This is an excellent ... Principal Job Duties & Responsibilities * Assist in the data gathering, preparation and timely ...

Intern - Planning

Anderson, SC ยท On-site

$14.25 - $18.25/hr

Raw material optimization analysis - Evaluate positioning of raw material storage to ensure the ... As such, First Quality provides at least annual training regarding data privacy and security to ...

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Data Analyst Intern information

See Clemson, SC salary details

$10

$19

$35

How much do data analyst intern jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for data analyst intern in Clemson, SC is $19.07, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $20.77 per hour, depending on experience, location, and employer.

What types of projects and tasks can a Data Analyst Intern expect to work on during their internship?

As a Data Analyst Intern, you can expect to work on a variety of projects such as cleaning and organizing datasets, creating data visualizations, and supporting the analysis of business trends. You'll often be asked to assist in preparing reports, updating dashboards, and collaborating with team members from departments like marketing, finance, or product management. This hands-on experience provides exposure to real-world data challenges and the opportunity to develop technical skills using tools like Excel, SQL, or Python, while also learning how data-driven decisions are made within the organization.

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

To thrive as a Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization software like Tableau, and programming languages such as SQL or Python, is commonly expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business objectives.

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

AspectData Analyst InternData Scientist Intern
Required CredentialsTypically pursuing or recent graduate in data-related fields; basic knowledge of SQL, Excel, and data visualizationOften pursuing or recent graduate in data science or related fields; knowledge of programming (Python, R), machine learning, and statistical modeling
Work EnvironmentEntry-level, supporting data analysis tasks, reporting, and visualizationMore advanced projects involving predictive modeling, algorithms, and complex data analysis
Employer & Industry UsageCommon in tech, finance, marketing, and consulting firmsFound in tech, research, and analytics-driven industries

The main difference between a Data Analyst Intern and a Data Scientist Intern lies in the complexity of tasks and required skills. Data Analyst Interns focus on data cleaning, visualization, and reporting, while Data Scientist Interns handle advanced modeling and machine learning. Both roles are valuable entry points into data careers, with the Data Scientist Intern position typically requiring more technical expertise.

What does a Data Analyst Intern do?

A Data Analyst Intern supports data analysis projects by collecting, cleaning, and organizing data. They use tools like Excel, SQL, or Python to analyze datasets and help generate reports or visualizations for business insights. Interns often work under supervision, assisting with ongoing projects and learning industry best practices, which helps them gain valuable experience in data analytics and business intelligence.
What are the most commonly searched types of Data Analyst jobs in Clemson, SC? The most popular types of Data Analyst jobs in Clemson, SC are:
What job categories do people searching Data Analyst Intern jobs in Clemson, SC look for? The top searched job categories for Data Analyst Intern jobs in Clemson, SC are:
What cities near Clemson, SC are hiring for Data Analyst Intern jobs? Cities near Clemson, SC with the most Data Analyst Intern job openings:
Infographic showing various Data Analyst Intern job openings in Clemson, SC as of July 2026, with employment types broken down into 22% Internship, and 78% Full Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $39,661 per year, or $19.1 per hour.

Data Analyst

Staffingine LLC

Greenville, SC โ€ข On-site

Contractor

Re-posted 18 days ago


Job description

Job Title: Data Analyst 
Job Location: Greenville, SC 
Job Type:  Contract 

Job Description:  

  • Help prepare borrowing base reports, and monthly service reports 

  • Provide support in initiatives with Data Governance to help optimize 

  • Treasury processes around data 

  • Coordinating and preparing necessary material for investor presentations, management reporting, and other necessary reporting requests 

  • Performing ad-hoc analyses, and other duties as assigned 

Qualifications: 

  • Excellent communication skills with acute attention to detail 

  • Strong analytical skills, with ability to problem solve 

  • Proficient with Excel, Word, and PowerPoint 

  • Some proficiency in SQL, Snowflake preferred