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Remote Data Analyst R Programming Jobs (NOW HIRING)

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... R or Python experience a plus * Tableau, Power BI, or Looker all stars * Looking for a self-starter ...

We seek candidates with a strong analytical mindset, excellent R programming skills, and expertise ... The position is primarily working in a remote environment. Employees are expected to travel at ...

Location can be remote. As long as the candidate is available to work during EST business hours and ... Proficient in Python and statistical and analytical tools like R * Experience with automation tools ...

This is a remote full-time post with lots of possibilities for advancement. By means of data ... Knowing R or Python would be really helpful. Your meticulous approach results in accurate, well ...

Most of our positions are remote, providing flexibility while contributing to meaningful federal ... Experience with Python, R, or similar tools is a plus. * Data Management: Understanding of data ...

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Data_Analyst Request ID: 89081-1 Location: Houston, TX or US Remote Duration: 6-12 months Skills ... data engineers to validate datasets, metric logic, and dashboard performance. This is a remote ...

... SQL, etc), programming (XML, Javascript, or ETL frameworks) • Knowledge of statistics and ... SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine ...

Data Analyst

San Francisco, CA · Remote

$1.0K - $1.2K/mo

Proficient in programming languages such as Python or R, with the ability to manipulate and analyze data efficiently. * Adept at working with large datasets, utilizing statistical techniques to ...

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to ... R, Python, SQL, or Excel. skilled in the application of Tableau and Power BI among data ...

Technical competency: Advanced Excel and PowerPoint, Intermediate SQL, Python/R, PowerBI ... Gartner offers a hybrid, flexible environment, with remote work that allows associates great ...

Technical competency: Advanced Excel and PowerPoint, Intermediate SQL, Python/R, PowerBI ... Gartner offers a hybrid, flexible environment, with remote work that allows associates great ...

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts ... Utilizes programming and analytical tools, including open source programs including Python, R and ...

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data ... Analysis, Data Engineering and Data Visualization related work * Associate's and/or Bachelor ...

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the ... Partner with the Data Engineering team to consolidate data sources and automate reporting workflows.

Canton, MA - 100% Remote Position Overview Hiring for experienced Data Analyst to support complex ... Support ETL processes, data integrations, and data-engineering initiatives. * Create technical ...

Showing results 41-60

Remote Data Analyst R Programming information

See salary details

$34K

$82.6K

$136K

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

As of Aug 8, 2026, the average yearly pay for remote data analyst r programming in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field due to its extensive package ecosystem and open-source nature, making it a valuable skill for data analysis roles.

What are the key skills and qualifications needed to thrive as a remote data analyst specializing in R programming?

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 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 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.

Are remote data analysts in demand?

Remote data analysts, including those skilled in R programming, are in high demand due to the increasing reliance on data-driven decision making across industries. Companies seek professionals with strong analytical skills, proficiency in tools like R and SQL, and the ability to work independently in virtual environments, leading to a growing job market for remote roles.
More about Remote Data Analyst R Programming jobs
What cities are hiring for Remote Data Analyst R Programming jobs? Cities with the most Remote 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 Remote Data Analyst R Programming jobs? States with the most job openings for Remote Data Analyst R Programming jobs include:
Infographic showing various Remote Data Analyst R Programming job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Data Analyst

NuView Analytics

Denver, CO • Remote

$90K - $120K/yr

Full-time

Re-posted 7 days ago


Job description

100% Remote Full-time Senior Analyst

At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on. Through our values of - humility, intellectual rigor, and stewardship - we help companies gain a new perspective on their business through their data.

Salary: $90k-120K + bonus + benefits
Location: 100% remote for US-based candidates

Responsibilities:

  • Candidate will complete data analytics and data science projects for clients
  • Candidate will be a key leader in researching and helping the company learn about new technologies/skillsets that are not currently possessed by the firm
  • Candidate will take Lead on client projects from start to finish - scoping, onboarding, delivering
  • Candidate will train and develop new team members in both engagement process and data analytics skill sets when needed

Projects Include:

  • Ad-hoc data analysis
  • Deep data investigation
  • Data visualization
  • Data integration
  • ETL Development
  • Statistical modeling and machine learning

Qualifications:

  • Bachelors Degree in Analytics, Economics, Mathematics, Computer Science or a related Field
  • 3-5 Years of Relevant job experience
  • SQL Required
  • R or Python experience a plus
  • Tableau, Power BI, or Looker all stars
  • Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients
  • Ability to Lead other team members as a player coach, completing projects side-by-side and teaching junior team members best practices and techniques
  • Ability to process data objectively and efficiently
  • Intellectually curious about new data tools and data analytics/science strategies
  • Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.)
Employment Type: FULL_TIME