2

Remote Data Analyst R Programming Jobs in Little Rock, AR

Junior Security Analyst

Little Rock, AR · On-site +1

$70K - $115K/yr

NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Data Engineer II

Little Rock, AR · Remote

$109.80K - $131.90K/yr

Remote (U.S.-based) About Pearson Virtual Schools At Pearson Virtual Schools (PVS), we are ... You will partner closely with data engineers, analysts, and business stakeholders to develop ...

New

... on programming tasks that include creating and solving challenging coding problems, building ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Data Engineer - Healthcare

Little Rock, AR · Remote

$109.80K - $131.90K/yr

Assess complex data sets and conduct root cause analysis. * Experience using data to improve ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Senior Data/AI Engineer

Little Rock, AR · Remote

$101.70K - $138.10K/yr

... data analytics capabilities. Location: This role is remote and can be based anywhere within the ... Job Summary The Senior Data/AI Engineer is a senior individual contributor on the Data & AI ...

next page

Showing results 1-20

Remote Data Analyst R Programming information

See Little Rock, AR salary details

$32.6K

$79.3K

$130.4K

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

As of Jun 3, 2026, the average yearly pay for remote data analyst r programming in Little Rock, AR is $79,264.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $93,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

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

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What are the most commonly searched types of Data Analyst R Programming jobs in Little Rock, AR? The most popular types of Data Analyst R Programming jobs in Little Rock, AR are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Little Rock, AR? For Remote Data Analyst R Programming jobs in Little Rock, AR, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Little Rock, AR look for? The top searched job categories for Remote Data Analyst R Programming jobs in Little Rock, AR are:

Remote Oncology Data Specialist - Registry & Insights

Ottawa Riverkeeper | Sentinelle de la rivière des Outaouais

Little Rock, AR • Remote

Full-time

Posted 11 days ago


Job description

A healthcare data services organization is seeking an Oncology Data Specialist to perform advanced clinical data abstraction supporting oncology registries. This remote role requires certification and experience in oncology registries, along with strong analytical and communication skills. Key responsibilities include analyzing patient data, ensuring compliance with national guidelines, and collaborating with clinical staff to support oncology program goals.

The ideal candidate will demonstrate detail-oriented work in a productive environment and proficiency in EMR systems. #J-18808-Ljbffr