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Afternoon Data Analyst R Programming Jobs in Charleston, SC

Geospatial Data Analyst

Charleston, SC ยท 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 ...

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 ...

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 ...

Mid-Level Programmer Analyst

North Charleston, SC ยท On-site

$96.05K - $139.15K/yr

... programming languages such as C#/C-Sharp, .NET, C, C++, Java, Python, R, SQL, Pro*C/C++, Perl ... data science, or other related field of study * 5+ of experience in software programming with C# ...

Mid-Level Programmer Analyst

North Charleston, SC ยท On-site

$96.05K - $139.15K/yr

... programming languages such as C#/C-Sharp, .NET, C, C++, Java, Python, R, SQL, Pro*C/C++, Perl ... data science, or other related field of study * 5+ of experience in software programming with C# ...

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 ...

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 ...

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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 May 31, 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 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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 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:

Geospatial Data Analyst

Lynker Corporation

Charleston, SC โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Overview

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts.ย  Lynker is seeking a sharp Geospatial Data Analyst to join our team. ย This role is contingent upon Lynker winning the contract, and an offer will likely not be extended until it is confirmed that the contract has been won. ย ย 

Responsibilities

Seeking an exceptional individual to provide GIS data management and technical support to the MarineCadastre.gov project in support of the National Oceanic and Atmospheric Administration's (NOAA), Office for Coastal Management (OCM).

The successful candidate will serve as a Geospatial Data Analyst for MarineCadastre.gov assisting in the development, maintenance, and integration of new and/or updated data for the web site. The individual will work with a team responsible for data published on the MarineCadastre.gov site and its associated applications (National Viewer, Data Registry, ESPIS, OceanReports). The position helps ensure the data are published in a timely manner and functioning properly.

This is opening is for one (1) full-time position located in Charleston, SC.

Core responsibilities of the Geospatial Data Analyst will include, but are not limited to:

  • Participate in a small team of policy and data analysts to manage, analyze, and distribute data products to the publicย 
  • Work directly with subject matter experts and data owners to assess the viability of data products for analysis and distribution
  • Use a range of data visualization tools and data science techniques to support the translation of data and science to policy and public users
  • Aid in the development, integration and maintenance of data products at a national scale
  • Apply scripting techniques to build data pipelines, visualize data, and integrate within a federal cyberinfrastructure
  • Use varied data structures, storage, and quality control techniques for over 400 unique data products ranging from very small to multi-terabyte in sizeย 
  • Troubleshoot the use of data products in the government's client applications such as the MarineCadastre.gov National Viewer, Data Registry, and OceanReportsย 
  • Work with office IT, Data Engineers (DBAs), and application developers in deploying new data products using on-site and Azure platforms
  • Respond to client needs and requirements as directed by the team
  • Communicate requirements to the project and application development teams
Qualifications

The Geospatial Data Analyst selected should have the following:

  • Bachelor's degree in geography, earth sciences, GIS, or a related field
  • Familiarity with marine spatial data
  • 5+ years of documented GIS experience using ESRI and open source toolsย 
  • Ability to implement effective data quality assurance process, data optimization, and documentation procedures
  • Experienced and knowledgeable in types of map services, publishing map services, and optimizing the performance of map services
  • Ability to work on a team that is diverse both geographically and in content expertise
  • Strong ArcGIS Pro skills
  • Ability to pass a National Agency Check (NACI), including fingerprinting, and maintain it throughout the duration of employment

The Ideal Geospatial Data Analyst will have the following:

  • Marine science background
  • Experience with ESRI Portal, ArcGISServer/Enterprise, and ArcGIS Onlineย 
  • Experience publishing and tuning ESRI map servicesย 
  • Experience with SQL Server and PostgreSQL
  • Experience with Python, and libraries such as Pandas and Plotly
  • Experience with MapBox, AzureMaps, or other vector tile tools
  • Experience in developing story maps or equivalentย 
  • Experience processing geospatial data in the Cloud

About Lynker

Lynker is a growing, employee owned, small business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

ย Fraud Alert: Recruitment Scam Warning:ย Lynker has been made aware of fraudulent individuals posing as Lynker recruiters and offering fake job opportunities. All legitimate Lynker job postings are listed on our official careers page. Communication from Lynker recruiters will come from an official @lynker.com email address.

Employment Type: FULL_TIME