ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Charleston, SC

College of Charleston

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.

Lynker Corporation

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 ...

Varsity Tutors

Data Science Tutor

Mount Pleasant, SC · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Charleston, SC · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Mercedes-Benz Cars UK Limited

AI Engineer

Ladson, SC · On-site

$111K - $134K/yr

... Python, R, SAS, VBA, and other programming languages. Define and track KPIs for AI solutions ... Programming in Python or similar. Cloud platforms experience (Azure, AWS). Data analysis and ...

Daimler

AI Engineer

Ladson, SC

$111K - $134K/yr

... Python, R, SAS, VBA, and other programming languages. Define and track KPIs for AI solutions ... Programming in Python or similar. Cloud platforms experience (Azure, AWS). Data analysis and ...

Munich Re

Data Scientist, AI

Charleston, SC · On-site +1

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Fathom 4, LLC

Data Scientist

Hanahan, SC · On-site

... R and using packages commonly used in data science applications or advanced analytics * Notable ... programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests, or ...

Fathom 4, LLC

Data Scientist

Charleston, SC · On-site

... R and using packages commonly used in data science applications or advanced analytics * Notable ... programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests, or ...

CSS, Inc

Data Scientist

Charleston, SC · On-site

Experience Required: * Experience with data engineering, data management, or scientific data ... Proficiency in SQL and at least once scripting language (Python or R preferred) to build data ...

next page

Showing results 1-20

All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Charleston, SC

Afternoon Data Analyst R Programming information

See Charleston, SC salary details

$31.8K

$77.3K

$127.3K

How much do afternoon data analyst r programming jobs pay per year?

As of Jun 23, 2026, the average yearly pay for afternoon data analyst r programming in Charleston, SC is $77,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $90,800.00 per year, depending on experience, location, and employer.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are the most commonly searched types of Data Analyst R Programming jobs in Charleston, SC? The most popular types of Data Analyst R Programming jobs in Charleston, SC are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Charleston, SC? For Afternoon Data Analyst R Programming jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Charleston, SC look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Afternoon Data Analyst R Programming jobs? Cities near Charleston, SC with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
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 8 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

Apply