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

AFL

Data Governance Analyst

Duncan, SC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

An AFL Data Governance & Analytics Analyst plays a critical role in transforming complex enterprise data into trusted insights that drive business decisions, operational performance, and continuous ...

Afl Telecommunications Llc

Data Governance Analyst

Duncan, SC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

An AFL Data Governance & Analytics Analyst plays a critical role in transforming complex enterprise data into trusted insights that drive business decisions, operational performance, and continuous ...

City of Clinton, SC

Student Intern

Clinton, SC · On-site

$14.25 - $19/hr

Intern Job Number: 202400038 Department: Human Resources Opening Date: 02/11/2026 Description ... Observe departmental operations and meetings * Assist with research, data collection, and project ...

Clinton, City of (SC)

Student Intern

Clinton, SC

$14.25 - $19/hr

The Intern will assist with projects and activities that support learning objectives, but will not ... Observe departmental operations and meetings Assist with research, data collection, and project ...

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All JobsData Analyst Intern JobsData Analyst Intern Jobs in Greer, SC

Data Analyst Intern information

See Greer, SC salary details

$11

$21

$40

How much do data analyst intern jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data analyst intern in Greer, SC is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.56 per hour, depending on experience, location, and employer.

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 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.

Is a data analyst internship worth it?

A data analyst internship provides practical experience with data analysis tools like Excel, SQL, and visualization software, which can enhance employability and skill development. It offers exposure to real-world projects and networking opportunities, making it valuable for those pursuing a career in data analysis.

What are the most commonly searched types of Data Analyst jobs in Greer, SC?

The most popular types of Data Analyst jobs in Greer, SC are:

What cities near Greer, SC are hiring for Data Analyst Intern jobs?

Cities near Greer, SC with the most Data Analyst Intern job openings:

Data Analyst Intern jobs near you
Infographic showing various Data Analyst Intern job openings in Greer, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $45,007 per year, or $21.6 per hour.

Data Governance Analyst

AFL

Duncan, SC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 5 days ago

Job description

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $3B in revenue, and employ approximately 12,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.
What We Offer:
  • Flexible time off policy
  • 401K Company match (up to 4% - dollar for dollar)
  • Professional development, training, and tuition reimbursement programs
  • Excellent medical, dental, vision, and life insurance policy options
  • Opportunities for career advancement with an industry leading company!

We are seeking a Data Governance & Analytics Analyst to join our team. This position will be able to work remotely from anywhere in the United States.
An AFL Data Governance & Analytics Analyst plays a critical role in transforming complex enterprise data into trusted insights that drive business decisions, operational performance, and continuous improvement. Combining strong analytical expertise with data governance principles, this role partners with business leaders to identify trends, risks, and opportunities, ensuring data is governed, trusted, and leveraged as a strategic asset. Working across business strategy, data analytics, and emerging AI-enabled capabilities, the role collaborates with Data Owners, Data Stewards, business stakeholders, and the Data Governance Council to improve data quality, strengthen governance, and enable data-driven decision-making.
Key Responsibilities
  • Lead engagement with senior business stakeholders to define data governance priorities, align on business objectives, and translate needs into actionable data initiatives.
  • Lead the planning, coordination, and execution of data governance initiatives, ensuring alignment with business priorities, timelines, and governance objectives.
  • Perform advanced analysis of complex enterprise datasets to identify trends, anomalies, root causes, risks, and opportunities that drive governance decisions, operational improvements, and business outcomes.
  • Develop executive dashboards, visualizations, and data stories that communicate meaningful insights, governance performance, emerging trends, and business recommendations.
  • Leverage AI-assisted analysis and productivity tools to improve data discovery, documentation, reporting, and insight generation while ensuring outputs are accurate, explainable, and aligned with data governance standards.
  • Drive the development, documentation, and maintenance of data governance frameworks, including data quality standards, data lineage, metadata management, and data stewardship models.
  • Partner with data owners and stewards to ensure accountability for data quality, integrity, and compliance across domains.
  • Support process assessments and root cause analyses to identify, document, and recommend scalable process and system improvements that enhance data quality and governance.
  • Support regulatory and compliance initiatives by ensuring adherence to data policies, standards, and controls.
  • Collaborate with technology, info security, risk, compliance, and business teams to operationalize governance tools and processes.
  • Mentor junior analysts and contribute to building best practices within the data governance function.

Key Competencies (Behavioral)
  • Advanced Written and Verbal Communication: Ability to distill complex data concepts into clear, compelling narratives for executive and non-technical audiences.
  • Relationship Building & Influence: Demonstrated ability to build strong, trust-based relationships with business partners and influence decision-making without direct authority.
  • Critical Thinking: Exceptional analytical and problem-solving skills, with the ability to challenge assumptions and evaluate data from multiple perspectives.
  • Strategic Thinking: Strong ability to connect data governance initiatives to enterprise strategy, risk management, and business value creation.
  • Analytical Curiosity: Demonstrates intellectual curiosity by exploring data beyond the obvious, asking insightful questions, identifying patterns, and uncovering root causes that drive business value.
  • AI & Digital Fluency: Demonstrates the ability to effectively leverage AI-enabled tools and emerging technologies to enhance analysis, productivity, and decision-making while applying sound judgment and validating results.
  • Leadership & Mentorship: Experience guiding junior team members and fostering a culture of data stewardship and accountability.
  • Stakeholder Management: Skilled at navigating complex organizational structures and aligning competing priorities.
  • Ownership & Initiative: Proven self-starter who proactively identifies opportunities, drives initiatives forward, and operates effectively with minimal direction.
  • Attention to Detail & Data Accuracy: Highly detail-oriented with a strong commitment to data integrity, quality, and precision in analysis and reporting.
  • Adaptability & Continuous Learning: Thrives in fast-paced environments, quickly adapting to change while continuously building knowledge in evolving data governance practices and tools.

Key Competencies (Technical)
  • Advanced understanding of data structures, relational databases, data modeling principles, and analytical techniques.
  • Advanced proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI) for data extraction, transformation, analysis, and validation.
  • Familiarity with Oracle EBS or other ERP, MRP, Supply Chain Planning and Scheduling systems.
  • Familiarity with data governance frameworks (g.DGI, DAMA-DMBOK).
  • Proven experience analyzing large, complex datasets using statistical, exploratory, and diagnostic analysis techniques to identify trends, anomalies, and improvement opportunities.
  • Identify patterns, trends, and opportunities within enterprise data that improve business processes, operational performance, and decision-making.
  • Experience translating complex data analysis into actionable insights and delivering clear, impactful presentations of findings and recommendations.
  • Experience using AI-enabled productivity tools (e.g., Microsoft Copilot, Microsoft Coworker, Claude, Power BI Copilot, or similar technologies) to support analysis, documentation, reporting, and business process improvement.
  • Ability to effectively validate AI-generated outputs using critical thinking, business knowledge, and data analysis techniques.
  • Experience with data governance tools (e.g., Collibra, Alation) and data management concepts (data quality, metadata, data lineage).
  • Demonstrated ability to manage and coordinate data governance initiatives, ensuring effective planning, execution, and stakeholder engagement.

Qualifications
  • Bachelor's degree in Data Analytics, Computer Science, Information Management, Mathematics, Engineering or a related discipline
  • 3-5+ years of experience in business analysis, data analysis, or data governance roles, preferably in a supply chain or manufacturing environment
  • Proven ability to work with a high degree of autonomy, exercise sound judgment and manage competing priorities while consistently delivering high-quality outcomes on time.
  • Familiarity with S&OP and/or IBP processes a plus.

Working Conditions
  • Normal office and manufacturing facility environment. Some travel may be required, but not frequent (<15%).

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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