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Data Analysis Intern Jobs in Fort Mill, SC (NOW HIRING)

Dtna

Pricing Analyst Intern

Fort Mill, SC

$29/hr

The intern will collaborate effectively with Pricing, Marketing, Sales, Product, Finance, and ... Analyze pricing, sales, cost, and competitive data to support strategic pricing initiatives.

New

CeCity.com

Data Science Intern

Charlotte, NC · On-site

$52K - $78K/yr

Data Science Intern What you will be doing: This position will have responsibility for supporting ... This individual will be responsible for supporting analyses alongside a Data Scientist and Product ...

Premier, Inc.

Data Science Intern

Charlotte, NC · On-site

$52K - $78K/yr

Conduct analysis and derive insights from unexpected findings, adjusting work process as needed to maximize the research value of each project * Interpret findings and present outcomes to rest of ...

Premier, Inc.

Data Science Intern

Charlotte, NC · On-site

$52K - $78K/yr

Data Science Intern What you will be doing: This position will have responsibility for supporting ... This individual will be responsible for supporting analyses alongside a Data Scientist and Product ...

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All JobsData Analysis Intern JobsData Analysis Intern Jobs in Fort Mill, SC

Data Analysis Intern information

See Fort Mill, SC salary details

$10

$19

$36

How much do data analysis intern jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data analysis intern in Fort Mill, SC is $19.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $21.54 per hour, depending on experience, location, and employer.

What does a data analysis intern 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 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.

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.

Is a data analysis intern internship worth it?

A data analysis intern internship provides practical experience with tools like Excel, SQL, and Python, and helps develop skills in data visualization and reporting. It can enhance a resume, improve job prospects, and offer networking opportunities, making it a valuable step for those pursuing a career in data analysis.
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Infographic showing various Data Analysis Intern job openings in Fort Mill, SC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,134 per year, or $19.8 per hour.

Tech & Data Program Summer 2027 - Data Engineer Intern (Charlotte)

Charlotte, NC

The Hartford
Finance and Insurance • 10K+ employees
Learn more about The Hartfordexternal

Full-time

Posted 16 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 123 frontline employees who took The Breakroom Quiz

Job description

Student Intern - HHSIAN

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Tech & Data Program Summer 2027 – Data Engineer Intern

Program Overview 

At The Hartford, we foster an inclusive and collaborative environment where every voice is valued and every idea can make an impact. Our culture is built on integrity, innovation, and a customer-first mindset. We believe in empowering employees to grow through continuous learning, mentorship, meaningful work, and opportunities to contribute to solutions that support our customers and business.

As a Data Engineer Intern, you will help build and support the data pipelines, platforms, and processes that enable analytics, reporting, automation, and AI-driven insights across the organization. This role is ideal for students who are interested in building the systems behind the data — transforming raw information into reliable, usable data assets that help teams make better decisions.

Bring your curiosity, technical mindset, and willingness to learn. Your voice and perspective matter here.

About the Experience

The Hartford’s Technology, Data, AI, and Operations organization offers an immersive summer internship program designed to help students explore career paths in technology, data engineering, cybersecurity, AI, analytics, data science, and technology operations within the insurance industry.

As part of The Hartford’s growing investment in AI and advanced analytics, interns will explore how emerging technologies — including generative AI, machine learning, and automation — are transforming business operations, decision-making, and customer experience.

In this role, you will gain hands-on experience supporting data solutions that help power business insights, analytics products, and future AI capabilities.

This role is a hybrid position in Charlotte, NC. Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

What You'll Gain 

  • Hands-on experience designing, building, and supporting data pipelines and data workflows
  • Exposure to modern data engineering practices, including ETL/ELT, data transformation, data quality, and cloud-based data platforms
  • Opportunities to work with tools and technologies such as Python, SQL, PL/SQL, Snowflake, GitHub, and cloud platforms
  • Exposure to how data engineering enables analytics, reporting, automation, machine learning, and AI use cases
  • Mentorship, coaching, feedback, and self-directed learning opportunities
  • Networking, volunteerism, and employee engagement experiences with peers and leaders across the organization
  • A stronger understanding of how data supports decision-making within the insurance industry

Ways You'll Learn, Grow, and Contribute

Depending on your role and project assignments, your experience may include:

  • Build and support data pipelines that ingest, transform, and prepare data for business and analytical use
  • Work with structured and unstructured data to enable analytics, reporting, and AI-driven solutions
  • Apply data engineering tools and techniques (e.g., Python, SQL, ETL processes, cloud technologies) to develop reliable data assets
  • Ensure data quality, consistency, and performance through profiling, validation, and monitoring activities
  • Collaborate with cross-functional teams to deliver scalable data solutions that address business needs
  • Leverage AI tools (e.g., Copilot) to enhance productivity and support the development of data solutions that power advanced analytics and machine learning

Required Qualifications

  • Undergraduate or graduate student expecting to graduate in May 2028 with a Bachelor's or Master's degree and a GPA of 3.0 or higher
  • Pursuing a degree in Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, or another STEM-related field
  • Strong analytical, problem-solving, and critical thinking skills
  • Strong communication, collaboration, and interpersonal skills
  • Curiosity and willingness to explore new technologies and challenge assumptions
  • Demonstrated ability to analyze complex problems using structured thinking and logical reasoning
  • Commitment to ethical judgment, responsible data use, and understanding how technology decisions affect stakeholders and the business

Experience and exposure to some or all of the following:

  • Programming & Querying: Python, SQL, PL/SQL
  • Data Engineering: ETL/ELT, data pipelines, data transformation, data profiling, data quality, data modeling
  • Data Platforms & Tools: Snowflake, GitHub, relational databases, data warehouse concepts
  • Cloud Technologies: AWS, Azure, or Google Cloud
  • Analytics & BI: Tableau, dashboards, reporting, data mining, or business intelligence tools
  • AI & Emerging Technology: Familiarity with AI/ML concepts, generative AI tools, LLMs, NLP, or interest in building data foundations that support AI-driven solutions
  • Agile Ways of Working: Exposure to Agile teams, sprint delivery, or collaborative product-based work

Our internship program is designed as a pipeline for future full-time opportunities. High-performing interns may be considered for full-time roles within The Hartford’s Technology & Data organization.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

-

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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