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Afternoon Data Analyst R Programming Jobs in Raleigh, NC

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Data Scientist

Durham, NC · Remote

$51 - $58/hr

We are looking for candidates with strong experience in the R programming language, geospatial/environmental data analysis, and data visualization who are excited about supporting impactful public ...

Data Analyst

Raleigh, NC · On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise ... Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not ...

Programming PK/PD analyses: * Writing R or Rmarkdown code to perform descriptive analysis of PK/PD data and statistical analysis of exposure-response relationships. * Data visualization: * Creating ...

Principal R Programmer

Durham, NC · On-site

$98.20K - $273.20K/yr

Programming PK/PD analyses: * Writing R or Rmarkdown code to perform descriptive analysis of PK/PD data and statistical analysis of exposure-response relationships. * Data visualization: * Creating ...

Principal R Programmer

Durham, NC · On-site

$98.20K - $273.20K/yr

Programming PK/PD analyses: * Writing R or Rmarkdown code to perform descriptive analysis of PK/PD data and statistical analysis of exposure-response relationships. * Data visualization: * Creating ...

... with data engineers, BI developers, and offshore teams to deliver analysis outcomes Qualifications : Required : • Strong understanding of Insurance business data related to Policy Claims ...

... data engineers BI developers and offshore teams to deliver analysis outcomes Technical Skills Secondary Nice to Have NOT MANDATORY Exposure to Databricks Data Warehouses or Lakehouse platforms ...

Sr Data Analyst

Raleigh, NC · Hybrid

$89.99K - $143.09K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming ...

... R Programming, Python, Spark • Statistical & Data Management Packages - Python - Pandas, Numpy ... Analytics and Project management in Banking and Financial Services • Expertise in Predictive ...

New

Computer Science, Engineering, etc.) with a focus on data analysis, data structu - Required - 3 - Years Proven track record of solving real world problems using data. Excellent critical thinking ...

Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis. * Partner with data engineering teams to ensure high-quality, well-structured, and ...

Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis. * Partner with data engineering teams to ensure high-quality, well-structured, and ...

Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis. * Partner with data engineering teams to ensure high-quality, well-structured, and ...

Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis. * Partner with data engineering teams to ensure high-quality, well-structured, and ...

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Data Analyst

Raleigh, NC · On-site

$72.50K - $80K/yr

We are specialized in Program Management, Technical Project Management, Business Analysis, Software Quality Assurance, Test Automation Engineering, DevOps, Data Analysis, Data Integration, ETL and ...

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Data Analyst

Raleigh, NC · On-site

$72.50K - $80K/yr

We are specialized in Program Management, Technical Project Management, Business Analysis, Software Quality Assurance, Test Automation Engineering, DevOps, Data Analysis, Data Integration, ETL and ...

Data Analyst I - Marketing

Raleigh, NC · On-site

$77.30K - $96.10K/yr

Proficient in statistical software including R, SAS, and SPSS. * Skilled in programming and ... Ability to leverage data analytics and reporting tools to support business insights and decision ...

Data Analyst I - Marketing

Raleigh, NC · On-site

$77.30K - $96.10K/yr

Proficient in statistical software including R, SAS, and SPSS. * Skilled in programming and ... Ability to leverage data analytics and reporting tools to support business insights and decision ...

Work with data engineers on development efforts including designing, coding, testing, and debugging during each cycle * Assist in data management work you're doing such as business need analysis ...

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Afternoon Data Analyst R Programming information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of May 28, 2026, the average yearly pay for afternoon data analyst r programming in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 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 Raleigh, NC? The most popular types of Data Analyst R Programming jobs in Raleigh, NC are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Raleigh, NC? For Afternoon Data Analyst R Programming jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Raleigh, NC look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Afternoon Data Analyst R Programming jobs? Cities near Raleigh, NC with the most Afternoon Data Analyst R Programming job openings:
Data Scientist

Data Scientist

Contemporaries

Durham, NC • Remote

$51 - $58/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

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Job description

Contemporaries Inc. is a government contracting firm supporting the National Institutes of Health in their efforts to hire a Data Scientist to support environmental health and extreme weather research initiatives. This is a long-term contract opportunity offering remote work flexibility. We are looking for candidates with strong experience in the R programming language, geospatial/environmental data analysis, and data visualization who are excited about supporting impactful public health and scientific research efforts.

 

Position Responsibilities

  • Support the continued development and optimization of the Amadeus software package within the open-source R programming environment
  • Improve computational performance, reduce package dependencies, and enhance runtime efficiency of the Amadeus code base
  • Develop new geospatial environmental datasets proposed by the health and extreme weather (HEW) research community and leadership team
  • Work within established coding and development style guidelines for the Amadeus R-package
  • Create and revise tutorials related to:
    • data downloads,
    • covariate calculations,
    • statistical model development,
    • and data visualization
  • Utilize the Amadeus R-package to support data sourcing and environmental research workflows
  • Develop and maintain interactive R Shiny dashboards for HEW datasets and scientific reporting
  • Assist with peer-reviewed manuscript development, including data analysis, technical writing, editing, and interpretation of findings
  • Provide scientific guidance, analytical support, and interpretation of results to the research team
  • Collaborate with researchers, analysts, and leadership teams supporting environmental and public health initiatives

 

Minimum Qualifications

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Bioinformatics, Environmental Science, Public Health, or a related field
  • Minimum of 3 years of professional experience in data science, statistical programming, or computational research support
  • Strong experience using the R programming language
  • Experience working with large-scale geospatial or environmental datasets
  • Experience developing dashboards or interactive visualizations using R Shiny
  • Experience with shell scripting such as Bash
  • Familiarity with batch job scripting or high-performance computing environments such as SLURM
  • Strong analytical, technical writing, and problem-solving skills
  • Ability to work independently while supporting collaborative scientific research efforts

 

Preferred Qualifications

  • Experience supporting public health, environmental health, climate, or biomedical research projects
  • Experience contributing to open-source software or research-focused R packages
  • Experience assisting with manuscript preparation or peer-reviewed publications
  • Familiarity with geospatial analysis and statistical modeling techniques

Company Description

Contemporaries is a government contracting firm who has been providing HR and Staff support to both federal and private organizations for over 35 years. Specializing in Administrative and related opportunities, while also working with Scientific, IT, Legal, Research, and related opportunities.