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Entry Level Data Analyst R Programming Jobs (NOW HIRING)

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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 ...

We are looking for an entry-level Data Analyst to join our team and support the modernization of ... Essential Functions * Back-End Development (Data Engineering & Modernization): Building out data ...

Construct and document analytic datasets using SAS, SQL, R, or other programming tools. * Respond to data requests adhering to department standards and procedures. * Support compliance monitoring and ...

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Data Scientist

Tampa, FL · On-site

$35 - $42/hr

We are looking for a motivated Entry-Level Data Scientist to join our team. You will analyze data ... functional teams (product, engineering, business) Communicate insights through reports and ...

... Data Analyst to join the Crookes Lab. This role supports a research project focused on ... The ideal candidate will be experienced in R programming, have a strong foundation in biostatistics ...

Process data from the external sources. Perform ad hoc exploratory analyses for publications and ... Ensure programming deliverables are on time and of high quality. Help managing internal contractors ...

... Data Analyst to join the Crookes Lab. This role supports a research project focused on ... The ideal candidate will be experienced in R programming, have a strong foundation in biostatistics ...

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Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

What This Role Requires: * * 1-4 years of data analyst/ML/AI engineering work experience after your ... R Programming, GCP & Airflow will be preferred. To Qualify * You should be willing to relocate ...

We are seeking an enthusiastic and detail-oriented Entry-Level Data Analyst to join our team. The candidate will help collect, organize, and analyze data to support business decisions. This position ...

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Programming languages like Python or R Required Qualifications: * 8+ years of experience in data analysis and visualization * Strong understanding of commercial lending systems like Loan IQ

Familiarity with Python (Pandas, NumPy) or R for statistical analysis. * Understanding of data modeling concepts and collaboration with Data Engineers. * Excellent communication and presentation ...

Title: Data Analyst/Developer Location: Grand Prairie, TX Job Mode: This role is on-site 5 days ... Strong SQL querying experience; exposure to R or Python is a plus. * 1+ year of front-end ...

Job Title: Entry-Level Data AnalystLocation: RemoteExperience: 0-2 YearsNote: Applicants must be ... developers, testers, and other team members to make sure requirements are clearly understood. • ...

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Data Analyst

Quincy, IL · On-site

$60K - $80K/yr

Proficiency in data analysis tools and programming languages (SQL, Python, R, etc.) * Excellent communication and interpersonal skills * Strong analytical, problem‑solving, and team collaboration ...

Data Analyst

Quincy, IL · On-site

$60K - $80K/yr

Proficiency in data analysis tools and programming languages (SQL, Python, R, etc.) * Excellent communication and interpersonal skills * Strong analytical, problem-solving, and team collaboration ...

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Entry Level Data Analyst R Programming information

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How much do entry level data analyst r programming jobs pay per hour?

As of May 29, 2026, the average hourly pay for entry level data analyst r programming in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

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

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry-level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is an Entry Level Data Analyst (R Programming)?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

More about Entry Level Data Analyst R Programming jobs
What cities are hiring for Entry Level Data Analyst R Programming jobs? Cities with the most Entry Level Data Analyst R Programming job openings:
What are the most commonly searched types of Data Analyst R Programming jobs? The most popular types of Data Analyst R Programming jobs are:
What states have the most Entry Level Data Analyst R Programming jobs? States with the most job openings for Entry Level Data Analyst R Programming jobs include:
Infographic showing various Entry Level Data Analyst R Programming job openings in the United States as of May 2026, with employment types broken down into 48% Full Time, 46% Part Time, and 6% Contract. Highlights an 75% Physical, 1% Hybrid, and 24% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Data Scientist

Data Scientist

Contemporaries

Durham, NC • Remote

$51 - $58/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 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.