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Data Analysis Intern Jobs in Anderson, SC (NOW HIRING)

First Quality Retail Services

Intern - Planning

Anderson, SC · 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 ...

First Quality Enterprises, Inc.

Intern - Planning

Anderson, SC · 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 ...

Cintas

Intern

Greenville, SC · On-site

$13.25 - $17.75/hr

The Intern experience combines hands-on training with the opportunity to interact with multiple departments in order to develop stronger leadership, organization, communication and time management ...

Cintas

Intern

Greenville, SC · On-site

$13.25 - $17.75/hr

The Intern experience combines hands-on training with the opportunity to interact with multiple departments in order to develop stronger leadership, organization, communication and time management ...

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Data Analysis Intern information

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How much do data analysis intern jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data analysis intern in Anderson, SC is $20.60, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $22.45 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.
More about Data Analysis Intern jobs

What are the most commonly searched types of Data Analysis jobs in Anderson, SC?

The most popular types of Data Analysis jobs in Anderson, SC are:

What job categories do people searching Data Analysis Intern jobs in Anderson, SC look for?

The top searched job categories for Data Analysis Intern jobs in Anderson, SC are:

What cities near Anderson, SC are hiring for Data Analysis Intern jobs?

Cities near Anderson, SC with the most Data Analysis Intern job openings:

Data Analysis Intern jobs near you
Infographic showing various Data Analysis Intern job openings in Anderson, SC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $42,848 per year, or $20.6 per hour.

IT Data Analyst II

Techtronic Industries (TTI)

Anderson, SC • On-site

Full-time

Posted 17 days ago

Techtronic Industries TTI rating

8.3

Company rating: 8.3 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

119th of 499 rated machine equipment manufacturers

Job description

Job Description:
The IT Data Analyst provides data, reporting, and analytics support across TTI's Carolina businesses - Consumer Power Tools (CPT), Outdoor Power Equipment (OPE), and Floor Care (FC) - partnering with the Data Analytics & Information Engineering (DAIE) team and business stakeholders to build, maintain, and improve Power BI reports, Snowflake transformation layers, and other data ingestion and decision-support tools. This role provides general analytical support balanced across all three business units, with workload and priorities shifting over time based on business needs. The position also implements AI-enabled solutions - such as Snowflake Cortex Analyst and Cortex Agents, Copilot agents, and related conversational or agentic tools - for business units to consume and utilize directly. The position combines core SQL and Power BI skills with a strong interest in automation and AI-assisted development, and reports to the BI Manager.
RESPONSIBILITIES / SKILLS
  • Provides day-to-day data analytics, reporting, and troubleshooting support across the CPT, OPE, and FC business units, resolving incidents and enhancement requests routed through ServiceNow.
  • Serves as a key point of contact for data and reporting needs across the CPT, OPE, and FC business units, supporting efforts to document, stabilize, and modernize existing reports, data models, and data processes.
  • Writes, tests, and troubleshoots SQL queries to access, validate, and prepare data for reporting, analytics, and automation across multiple source systems.
  • Builds, maintains, and enhances Power BI reports, dashboards, and semantic models that support business decision-making for CPT, OPE, and FC stakeholders.
  • Partners with business users to gather requirements, clarify report specifications, and translate business questions into working analytics solutions.
  • Supports migration and consolidation of legacy reporting environments, including moving business unit workspaces and reports into current-state Power BI apps, and helps identify and retire duplicate or unused reports.
  • Assists with Snowflake data preparation, transformation, and semantic model refresh processes; contributes to dbt-based transformation work as skills develop.
  • Uses AI coding agents and related tools (e.g., GitHub Copilot) to accelerate development, testing, debugging, and documentation of reports, queries, and automation.
  • Implements AI-enabled solutions for business unit stakeholders to consume and utilize directly, such as Snowflake Cortex Analyst and Cortex Agents, Copilot agents, and similar conversational or agentic tools that extend self-service access to data and reporting.
  • Monitors scheduled data refreshes and automated processes, troubleshooting failures and escalating as needed to minimize business disruption.
  • Documents data sources, report logic, calculations, and processes to build institutional knowledge and reduce single points of failure.
  • Tracks and prioritizes incoming tickets and tasks in ServiceNow, balancing workload across CPT, OPE, and FC analytics needs.
  • Collaborates with other DAIE team members, IT, and business stakeholders to ensure solutions are scalable, supportable, secure, and aligned to enterprise standards.
  • Performs other related duties as assigned.

This job description is intended to be illustrative of the position's duties and should not be construed to be an exhaustive statement of the essential functions of the job.
CRITICAL SUCCESS FACTORS
  • Analytical Skills - ability to understand data, write and interpret SQL, evaluate data quality, build reporting logic, and translate findings into practical recommendations.
  • Technical Curiosity - genuine interest in Power BI, Snowflake, automation, and AI-assisted development tools; willingness to learn quickly and apply new capabilities.
  • Business Partnership - ability to build credibility with business stakeholders across multiple business units, understand functional needs, and manage expectations.
  • Ownership & Follow-Through - ability to take end-to-end responsibility for assigned tickets and projects across business units, including stabilizing and modernizing data environments as needed.
  • Communication Skills - ability to explain technical concepts, project updates, and data issues clearly to audiences with varying levels of technical knowledge.
  • Problem Solving - ability to break down ambiguous data and reporting issues, troubleshoot root causes, and recommend solutions that can be implemented and sustained.
  • Prioritization & Adaptability - ability to manage a varied workload across CPT, OPE, and FC business units, adjusting focus as priorities and business needs shift.
  • Collaboration & Independence - ability to work effectively alone or with cross-functional teams, balancing self-directed execution with strong teamwork.

EDUCATION AND EXPERIENCE
  • Bachelor's degree in business, computer science, or a related discipline; OR an MBA with a concentration in data analytics; OR a bachelor's degree in any discipline combined with equivalent professional experience, is required.
  • Proficiency with SQL is required, including the ability to write, troubleshoot, and optimize queries for reporting, analytics, and data preparation.
  • Proficiency with Power BI is required, including report and dashboard development, data modeling, and DAX in a business setting.
  • Experience with Python is strongly preferred.
  • Experience with, or strong interest in, using AI coding agents (e.g., GitHub Copilot) to support development, testing, and documentation work is a strong preference.
  • Experience with, or strong interest in, implementing AI-enabled tools for business consumption (e.g., Snowflake Cortex Analyst/Agents, Copilot agents, or similar conversational/agentic solutions) is a strong preference.
  • Experience with Snowflake and dbt is a plus.
  • Experience with Azure Data Factory, Prefect, Kubernetes, or Docker is a plus.
  • Ability to manage multiple priorities across the CPT, OPE, and FC business units while maintaining consistent, broad-based analytics support.
  • Strong verbal and written communication skills with the ability to manage multiple priorities and perform well under pressure.
  • Ability to work independently and as an integral part of a cross-functional team.

OTHER REQUIREMENTS
  • Ability to travel (post-COVID) up to 10%. It is anticipated this position will travel 0-10%

PHYSICAL REQUIREMENTS: if applicable, select one & change pounds
  • Prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift up to 30 pounds at times.

The above statements are intended to describe the general nature and level of work performed by employees assigned to this position. This document is subject to change at any time and is not intended to be exhaustive of all duties, responsibilities, and skills required by employees with this position title.

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