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Intern Data Analyst R Programming Jobs in South Carolina

Senior Data Analyst

Charleston, SC · On-site

$79K - $100K/yr

Programming and statistical languages such as SQL, Python, R, SAS, and SPSS. * Understanding of ... Data analysis techniques like machine learning, predictive modeling, and statistical analysis.

Collaborating with engineering, project management, and consultancy teams to understand requirements, shape analytical approaches, and communicate findings. * Monitoring data quality, identifying ...

New

Actively contribute to the expertise and competencies of the Data & Analytics team and work closely ... Programming languages: Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure ...

Ignite Digital has an exciting opportunity for a Data Analyst to support our client engagement ... working in a DevOps/DevSecOps delivery environment * Experience with onboarding (e.g. CAC ...

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Work with office IT, Data Engineers (DBAs), and application developers in deploying new data ... Analyst selected should have the following: * Bachelor's degree in geography, earth sciences, GIS ...

Job Responsibilities The Responsibilities of the Data Insights Intern A cover letter and resume are ... analyzing feedback from internal staff surveys, and creating graphs and charts for internal and ...

New

Job Responsibilities The Responsibilities of the Data Insights Intern A cover letter and resume are ... Current enrollment in or completion of a graduate-level program in Data Analytics, Statistics ...

New

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Intern Data Analyst R Programming information

What is the difference between Intern Data Analyst R Programming vs Intern Data Analyst Python?

AspectIntern Data Analyst R ProgrammingIntern Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentData analysis, statistical modeling, research projectsData analysis, automation, machine learning tasks
Industry UsageResearch, healthcare, financeTech, finance, marketing

Both roles are entry-level internships focused on data analysis, requiring programming skills in their respective languages. R is often used for statistical analysis and visualization, while Python is versatile for data manipulation and machine learning. The choice depends on the industry and specific project needs.

What are the most commonly searched types of Data Analyst R Programming jobs in South Carolina? The most popular types of Data Analyst R Programming jobs in South Carolina are:
What cities in South Carolina are hiring for Intern Data Analyst R Programming jobs? Cities in South Carolina with the most Intern Data Analyst R Programming job openings:
Senior Data Analyst

Senior Data Analyst

College of Charleston

Charleston, SC • On-site

$79K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

Posting Details
POSTING INFORMATION
Internal Title
Senior Data Analyst
Position Type
Classified
Faculty / Non-Faculty / Administration
Non-Faculty
Pay Band
TEC07
Level
Department
Enterprise Systems
Job Purpose
The Senior Data Analyst supports the College's data stewards by ensuring the accuracy, governance, and accessibility of institutional data within both legacy on prem and modern, cloud-based data ecosystem.
This role plays a key part in the College's enterprise data lake initiative, leveraging platforms such as Snowflake, Azure, and Microsoft Purview to enable trusted, scalable, and secure data use across departments.
The Senior Data Analyst partners with stakeholders to deliver data-driven insights, develop automated data pipelines, and promote consistent definitions and governance practices. This role contributes to advancing a culture of data-informed decision-making and supports the College's transition to a unified "single source of truth."
Minimum Requirements
A bachelor's degree in Data Science, Computer Science, Information Technology, Statistics, Math, or a related field and five years of applicable experience in data analysis and warehousing is required. Relevant experience may be substituted for the Bachelor's degree on a year-for-year basis.
A Master's degree is preferred. Candidates with an equivalent combination of experience and/or education are encouraged to apply.
Required Knowledge, Skills and Abilities
Required Skills:
  • General
    • Exceptional attention to detail, organizational skills, and the ability to manage multiple tasks simultaneously and independently. Must be able to prioritize, plan, and accomplish duties in a timely manner.
    • Proven research, analytical, and problem-solving skills.
    • Talent for identifying and executing enhancements to improve the efficiency of data and business processes.
    • Proficiency with MS Office/Office 365.

  • Technical
    • Proven ability to integrate and configure AI tools (e.g., Copilot, OpenAI, Gemini) to enhance productivity, with sound judgment in evaluating security, cost, and operational implications.
    • Experience with:
      • Data mining, including techniques of data extraction, documentation, analysis, and reporting.
      • Reporting tools such as Cognos/Insights/Argos.
      • Dashboarding or visual analytics such as Tableau and Power BI.
      • Programming and statistical languages such as SQL, Python, R, SAS, and SPSS.
    • Understanding of:
      • Data modeling, ETL/ELT processes, and/or data integration techniques.
      • Data Lake Management.
    • Familiarity with data governance, security, and privacy best practices.

  • Communications
    • Excellent written and verbal communication skills with the ability to communicate complex technical information to non-technical stakeholders.
    • Must be able to form successful working relationships with senior leadership, faculty, staff, students, and external authorities and organizations, as appropriate.
    • Ability to provide status reports and other technical reports in a clear and concise manner.

Preferred Skills:
  • Proficiency in data modeling, ETL/ELT processes, and/or data integration techniques.
  • Working knowledge and practitioner of methods and techniques of data extraction, documentation, analysis, and reporting.
  • Experience with:
    • Data integration and transformation using ETL/ELT tools (e.g., Matillion or similar)
    • Cloud-based data platforms (e.g., Snowflake, Azure, or comparable architectures)
    • Data visualization tools (e.g., Power BI, Tableau, or similar)
    • SQL and at least one programming language (e.g., Python or R)
    • Modern Cloud-based data warehousing and data lake solutions
    • Specific tools that are applicable to our current systems - Cognos, Insights, and/or Tableau
    • Cloud costing models
  • Knowledge and understanding of/adherence to:
    • FERPA regulations and other data security and privacy laws.
    • Data analysis techniques like machine learning, predictive modeling, and statistical analysis.
    • Big data technologies such as Hadoop, Spark, or similar.
    • The data needs of Higher Education and relevant systems, such as Ellucian's Banner ERP and ODS, and their Oracle relational database infrastructure.
    • Repositories such as Salesforce, IPEDS, US News, and National Student Clearinghouse (NSC).

Additional Comments Regarding Position
Candidates should bring a forward-thinking mindset and the technical acumen to responsibly harness evolving platforms and toolsets - e.g. AI's growing impact in data and technology roles.
Strong self-initiative, exemplary work ethic, and continued professional development are expected, commensurate with a senior-level role.
Some occasional travel for professional development, conferences, and meetings may be required.
Special Instructions to Applicants
Please complete the application to include all current and previous work history and education. A resume will not be accepted nor reviewed to determine if an applicant has met the qualifications for the position.
*Salary is commensurate with education/experience which exceeds the minimum requirements.
Offers of employment are contingent upon a successful background check.
All applications must be submitted online https://jobs.cofc.edu.
Salary
*$79,600 - $100,000
Posting Date
06/15/2026
Closing Date
07/10/2026
Benefits
  • Insurance: Health/Dental/Vision
  • Life Insurance
  • Paid Leave: Sick/Annual/Parental
  • Retirement
  • Long Term Disability
  • Paid Holidays
  • Free CARTA Bus Service
  • Employee Tuition Assistance Program (ETAP)
  • Employee Assistance Program (EAP)
  • Full Benefits Package - Click Here

Open Until Filled
No
Posting Number
2026092
EEO Statement
The College of Charleston is an equal opportunity employer and does not discriminate against any individual or group on the basis of sex, gender (including gender identity and/or expression), pregnancy, race, religion, color, national origin, age, disability, military or veteran status, sexual orientation, genetic information, and other classifications protected by applicable federal, state, and local laws. For more information, please visit eop.cofc.edu.
Quicklink for Posting
https://jobs.cofc.edu/postings/18107